diff --git a/Data/Input/DISNET/ATC_desc_name.xlsx b/Data/Input/DISNET/ATC_desc_name.xlsx
new file mode 100644
index 0000000000000000000000000000000000000000..aab5171a31bc769cae4847a89a354a8c69ea2767
Binary files /dev/null and b/Data/Input/DISNET/ATC_desc_name.xlsx differ
diff --git a/Data/Input/DISNET/Drug_Categories.xlsx b/Data/Input/DISNET/Drug_Categories.xlsx
new file mode 100644
index 0000000000000000000000000000000000000000..97a854be10c6939e40eb33c8b10717db9f5b9a9c
Binary files /dev/null and b/Data/Input/DISNET/Drug_Categories.xlsx differ
diff --git a/Data/Input/DISNET/Triples_target_final.tsv b/Data/Input/DISNET/Triples_target_final.tsv
new file mode 100644
index 0000000000000000000000000000000000000000..e03a06df723c7b65566fbd840c300555b97ba1ca
--- /dev/null
+++ b/Data/Input/DISNET/Triples_target_final.tsv
@@ -0,0 +1,7838 @@
+	disease_id	gene_id	score	drug_id	disease_new
+0	C0030567	6532	0.04	CHEMBL641	C1263846
+5	C0006142	2099	0.9	CHEMBL81	C0029456
+6	C0006142	2099	0.9	CHEMBL81	C1962963
+7	C0006142	2099	0.9	CHEMBL81	C2911643
+8	C0006142	2099	0.9	CHEMBL81	C4554622
+9	C0376358	2099	0.4	CHEMBL81	C0029456
+10	C0376358	2099	0.4	CHEMBL81	C1962963
+11	C0376358	2099	0.4	CHEMBL81	C2911643
+12	C0376358	2099	0.4	CHEMBL81	C4554622
+25	C0003873	5743	0.4	CHEMBL118	C0032580
+26	C0003873	5743	0.4	CHEMBL118	C0007102
+27	C0003873	5743	0.4	CHEMBL118	C0346629
+28	C0003873	5743	0.4	CHEMBL118	C0699790
+29	C0003873	5743	0.4	CHEMBL118	C0009402
+30	C0003873	5743	0.4	CHEMBL118	C2984278
+31	C0003873	5743	0.4	CHEMBL118	C3542412
+32	C0003873	5743	0.4	CHEMBL118	C4722085
+33	C0003873	5743	0.4	CHEMBL118	C0242379
+34	C0003873	5743	0.4	CHEMBL118	C0684249
+35	C0003873	5743	0.4	CHEMBL118	C1306460
+36	C0003873	5743	0.4	CHEMBL118	C0006142
+37	C0003873	5743	0.4	CHEMBL118	C0678222
+38	C0003873	5743	0.4	CHEMBL118	C3897071
+39	C0003873	196	0.37	CHEMBL960	C0376358
+40	C0003873	196	0.37	CHEMBL960	C0600139
+41	C0003873	196	0.37	CHEMBL960	C2984325
+42	C0003873	196	0.37	CHEMBL960	C3541264
+43	C0006142	2100	0.4	CHEMBL81	C0029456
+44	C0006142	2100	0.4	CHEMBL81	C1962963
+45	C0006142	2100	0.4	CHEMBL81	C2911643
+46	C0006142	2100	0.4	CHEMBL81	C4554622
+47	C0376358	2100	0.4	CHEMBL81	C0029456
+48	C0376358	2100	0.4	CHEMBL81	C1962963
+49	C0376358	2100	0.4	CHEMBL81	C2911643
+50	C0376358	2100	0.4	CHEMBL81	C4554622
+63	C0003873	2185	0.03	CHEMBL960	C0376358
+64	C0003873	2185	0.03	CHEMBL960	C0600139
+65	C0003873	2185	0.03	CHEMBL960	C2984325
+66	C0003873	2185	0.03	CHEMBL960	C3541264
+67	C0003873	2214	0.1	CHEMBL1201572	C0004096
+68	C0003873	2214	0.1	CHEMBL1201572	C2984299
+69	C0003873	2212	0.4	CHEMBL1201572	C0004096
+70	C0003873	2212	0.4	CHEMBL1201572	C2984299
+71	C0003873	4049	0.06	CHEMBL1201572	C0004096
+72	C0003873	4049	0.06	CHEMBL1201572	C2984299
+73	C0003873	3551	0.02	CHEMBL1366	C0238198
+74	C0003873	2215	0.1	CHEMBL1201572	C0004096
+75	C0003873	2215	0.1	CHEMBL1201572	C2984299
+76	C0030567	6530	0.03	CHEMBL641	C1263846
+81	C0030567	1814	0.1	CHEMBL53	C0242350
+82	C0030567	1814	0.1	CHEMBL53	C1961100
+91	C0030567	1812	0.52	CHEMBL53	C0242350
+92	C0030567	1812	0.52	CHEMBL53	C1961100
+101	C0030567	1815	0.04	CHEMBL53	C0242350
+102	C0030567	1815	0.04	CHEMBL53	C1961100
+111	C0030567	3350	0.22	CHEMBL53	C0242350
+112	C0030567	3350	0.22	CHEMBL53	C1961100
+121	C0003873	1723	0.02	CHEMBL960	C0376358
+122	C0003873	1723	0.02	CHEMBL960	C0600139
+123	C0003873	1723	0.02	CHEMBL960	C2984325
+124	C0003873	1723	0.02	CHEMBL960	C3541264
+125	C0003873	2209	0.02	CHEMBL1201572	C0004096
+126	C0003873	2209	0.02	CHEMBL1201572	C2984299
+0	C0007134	2475	0.5	CHEMBL1908360	C0003873
+1	C0007134	2475	0.5	CHEMBL1908360	C0004153
+2	C0007134	2475	0.5	CHEMBL1908360	C0006413
+3	C0007134	2475	0.5	CHEMBL1908360	C0007131
+4	C0007134	2475	0.5	CHEMBL1908360	C0007137
+5	C0007134	2475	0.5	CHEMBL1908360	C0007138
+6	C0007134	2475	0.5	CHEMBL1908360	C0020459
+7	C0007134	2475	0.5	CHEMBL1908360	C0021670
+8	C0007134	2475	0.5	CHEMBL1908360	C0026764
+9	C0007134	2475	0.5	CHEMBL1908360	C0027819
+10	C0007134	2475	0.5	CHEMBL1908360	C0030807
+11	C0007134	2475	0.5	CHEMBL1908360	C0041341
+12	C0007134	2475	0.5	CHEMBL1908360	C0334634
+13	C0007134	2475	0.5	CHEMBL1908360	C0678222
+14	C0007134	2475	0.5	CHEMBL1908360	C1621958
+15	C0027819	2475	0.06	CHEMBL1908360	C0003873
+16	C0027819	2475	0.06	CHEMBL1908360	C0004153
+17	C0027819	2475	0.06	CHEMBL1908360	C0006413
+18	C0027819	2475	0.06	CHEMBL1908360	C0007131
+19	C0027819	2475	0.06	CHEMBL1908360	C0007134
+20	C0027819	2475	0.06	CHEMBL1908360	C0007137
+21	C0027819	2475	0.06	CHEMBL1908360	C0007138
+22	C0027819	2475	0.06	CHEMBL1908360	C0020459
+23	C0027819	2475	0.06	CHEMBL1908360	C0021670
+24	C0027819	2475	0.06	CHEMBL1908360	C0026764
+25	C0027819	2475	0.06	CHEMBL1908360	C0030807
+26	C0027819	2475	0.06	CHEMBL1908360	C0041341
+27	C0027819	2475	0.06	CHEMBL1908360	C0334634
+28	C0027819	2475	0.06	CHEMBL1908360	C0678222
+29	C0027819	2475	0.06	CHEMBL1908360	C1621958
+30	C0007134	2475	0.5	CHEMBL413	C0003873
+31	C0007134	2475	0.5	CHEMBL413	C0004153
+32	C0007134	2475	0.5	CHEMBL413	C0006413
+33	C0007134	2475	0.5	CHEMBL413	C0007131
+34	C0007134	2475	0.5	CHEMBL413	C0007137
+35	C0007134	2475	0.5	CHEMBL413	C0007138
+36	C0007134	2475	0.5	CHEMBL413	C0020459
+37	C0007134	2475	0.5	CHEMBL413	C0021670
+38	C0007134	2475	0.5	CHEMBL413	C0026764
+39	C0007134	2475	0.5	CHEMBL413	C0027819
+40	C0007134	2475	0.5	CHEMBL413	C0030807
+41	C0007134	2475	0.5	CHEMBL413	C0334634
+42	C0007134	2475	0.5	CHEMBL413	C1621958
+43	C0027819	2475	0.06	CHEMBL413	C0003873
+44	C0027819	2475	0.06	CHEMBL413	C0004153
+45	C0027819	2475	0.06	CHEMBL413	C0006413
+46	C0027819	2475	0.06	CHEMBL413	C0007131
+47	C0027819	2475	0.06	CHEMBL413	C0007134
+48	C0027819	2475	0.06	CHEMBL413	C0007137
+49	C0027819	2475	0.06	CHEMBL413	C0007138
+50	C0027819	2475	0.06	CHEMBL413	C0020459
+51	C0027819	2475	0.06	CHEMBL413	C0021670
+52	C0027819	2475	0.06	CHEMBL413	C0026764
+53	C0027819	2475	0.06	CHEMBL413	C0030807
+54	C0027819	2475	0.06	CHEMBL413	C0334634
+55	C0027819	2475	0.06	CHEMBL413	C1621958
+56	C0007134	2475	0.5	CHEMBL1201182	C0334634
+57	C0020473	6646	0.02	CHEMBL1138	C0004153
+58	C0020473	6646	0.02	CHEMBL1138	C0011849
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+60	C0020473	6646	0.02	CHEMBL1138	C0020474
+61	C0020473	6646	0.02	CHEMBL1138	C0242339
+62	C0004153	6646	0.05	CHEMBL1138	C0011849
+63	C0004153	6646	0.05	CHEMBL1138	C0020443
+64	C0004153	6646	0.05	CHEMBL1138	C0020473
+65	C0004153	6646	0.05	CHEMBL1138	C0020474
+66	C0004153	6646	0.05	CHEMBL1138	C0242339
+67	C0020474	5465	0.02	CHEMBL672	C0008312
+68	C0020474	5465	0.02	CHEMBL672	C0020443
+69	C0020474	5465	0.02	CHEMBL672	C0020473
+70	C0020474	5465	0.02	CHEMBL672	C0020557
+71	C0020474	5465	0.02	CHEMBL672	C0026764
+72	C0020474	5465	0.02	CHEMBL672	C0028754
+73	C0020474	5465	0.02	CHEMBL672	C0242339
+74	C0020474	5465	0.02	CHEMBL672	C0473527
+75	C0028754	5465	0.4	CHEMBL672	C0008312
+76	C0028754	5465	0.4	CHEMBL672	C0020443
+77	C0028754	5465	0.4	CHEMBL672	C0020473
+78	C0028754	5465	0.4	CHEMBL672	C0020474
+79	C0028754	5465	0.4	CHEMBL672	C0020557
+80	C0028754	5465	0.4	CHEMBL672	C0026764
+81	C0028754	5465	0.4	CHEMBL672	C0242339
+82	C0028754	5465	0.4	CHEMBL672	C0473527
+83	C0020474	5465	0.02	CHEMBL557555	C0020557
+84	C0028768	6532	0.4	CHEMBL41	C0005586
+85	C0028768	6532	0.4	CHEMBL41	C0005587
+86	C0028768	6532	0.4	CHEMBL41	C0011581
+87	C0028768	6532	0.4	CHEMBL41	C0030319
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+89	C0028768	6532	0.4	CHEMBL41	C0497327
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+91	C0028768	6532	0.4	CHEMBL41	C2267227
+92	C0005587	6532	0.52	CHEMBL41	C0005586
+93	C0005587	6532	0.52	CHEMBL41	C0011581
+94	C0005587	6532	0.52	CHEMBL41	C0028768
+95	C0005587	6532	0.52	CHEMBL41	C0030319
+96	C0005587	6532	0.52	CHEMBL41	C0036341
+97	C0005587	6532	0.52	CHEMBL41	C0497327
+98	C0005587	6532	0.52	CHEMBL41	C1269683
+99	C0005587	6532	0.52	CHEMBL41	C2267227
+100	C0036341	6532	0.4	CHEMBL41	C0005586
+101	C0036341	6532	0.4	CHEMBL41	C0005587
+102	C0036341	6532	0.4	CHEMBL41	C0011581
+103	C0036341	6532	0.4	CHEMBL41	C0028768
+104	C0036341	6532	0.4	CHEMBL41	C0030319
+105	C0036341	6532	0.4	CHEMBL41	C0497327
+106	C0036341	6532	0.4	CHEMBL41	C1269683
+107	C0036341	6532	0.4	CHEMBL41	C2267227
+108	C0005586	6532	0.6	CHEMBL41	C0005587
+109	C0005586	6532	0.6	CHEMBL41	C0011581
+110	C0005586	6532	0.6	CHEMBL41	C0028768
+111	C0005586	6532	0.6	CHEMBL41	C0030319
+112	C0005586	6532	0.6	CHEMBL41	C0036341
+113	C0005586	6532	0.6	CHEMBL41	C0497327
+114	C0005586	6532	0.6	CHEMBL41	C1269683
+115	C0005586	6532	0.6	CHEMBL41	C2267227
+116	C0028768	6532	0.4	CHEMBL490	C0011581
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+118	C0028768	6532	0.4	CHEMBL490	C0036341
+119	C0028768	6532	0.4	CHEMBL490	C0038436
+120	C0028768	6532	0.4	CHEMBL490	C0497327
+121	C0028768	6532	0.4	CHEMBL490	C0600142
+122	C0028768	6532	0.4	CHEMBL490	C1269683
+123	C0036341	6532	0.4	CHEMBL490	C0011581
+124	C0036341	6532	0.4	CHEMBL490	C0028768
+125	C0036341	6532	0.4	CHEMBL490	C0030319
+126	C0036341	6532	0.4	CHEMBL490	C0038436
+127	C0036341	6532	0.4	CHEMBL490	C0497327
+128	C0036341	6532	0.4	CHEMBL490	C0600142
+129	C0036341	6532	0.4	CHEMBL490	C1269683
+130	C0038436	6532	0.1	CHEMBL490	C0011581
+131	C0038436	6532	0.1	CHEMBL490	C0028768
+132	C0038436	6532	0.1	CHEMBL490	C0030319
+133	C0038436	6532	0.1	CHEMBL490	C0036341
+134	C0038436	6532	0.1	CHEMBL490	C0497327
+135	C0038436	6532	0.1	CHEMBL490	C0600142
+136	C0038436	6532	0.1	CHEMBL490	C1269683
+137	C0028768	6532	0.4	CHEMBL809	C0001973
+138	C0028768	6532	0.4	CHEMBL809	C0009186
+139	C0028768	6532	0.4	CHEMBL809	C0010414
+140	C0028768	6532	0.4	CHEMBL809	C0011581
+141	C0028768	6532	0.4	CHEMBL809	C0030319
+142	C0028768	6532	0.4	CHEMBL809	C0036341
+143	C0028768	6532	0.4	CHEMBL809	C0038436
+144	C0028768	6532	0.4	CHEMBL809	C0497327
+145	C0028768	6532	0.4	CHEMBL809	C0917801
+146	C0028768	6532	0.4	CHEMBL809	C1269683
+147	C0036341	6532	0.4	CHEMBL809	C0001973
+148	C0036341	6532	0.4	CHEMBL809	C0009186
+149	C0036341	6532	0.4	CHEMBL809	C0010414
+150	C0036341	6532	0.4	CHEMBL809	C0011581
+151	C0036341	6532	0.4	CHEMBL809	C0028768
+152	C0036341	6532	0.4	CHEMBL809	C0030319
+153	C0036341	6532	0.4	CHEMBL809	C0038436
+154	C0036341	6532	0.4	CHEMBL809	C0497327
+155	C0036341	6532	0.4	CHEMBL809	C0917801
+156	C0036341	6532	0.4	CHEMBL809	C1269683
+157	C0038436	6532	0.1	CHEMBL809	C0001973
+158	C0038436	6532	0.1	CHEMBL809	C0009186
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+160	C0038436	6532	0.1	CHEMBL809	C0011581
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+162	C0038436	6532	0.1	CHEMBL809	C0030319
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+164	C0038436	6532	0.1	CHEMBL809	C0497327
+165	C0038436	6532	0.1	CHEMBL809	C0917801
+166	C0038436	6532	0.1	CHEMBL809	C1269683
+167	C0028768	6532	0.4	CHEMBL814	C0036341
+168	C0028768	6532	0.4	CHEMBL814	C0497327
+169	C0036341	6532	0.4	CHEMBL814	C0028768
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+178	C0005587	6532	0.52	CHEMBL1628227	C0036341
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+180	C0005587	6532	0.52	CHEMBL1628227	C0497327
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+234	C0036341	808	0.08	CHEMBL643	C0010200
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+3280	C0030567	6531	0.6	CHEMBL1175	C1269683
+3281	C0036341	6531	0.4	CHEMBL1175	C0016053
+3282	C0036341	6531	0.4	CHEMBL1175	C0030567
+3283	C0036341	6531	0.4	CHEMBL1175	C0497327
+3284	C0036341	6531	0.4	CHEMBL1175	C1269683
+3285	C0030567	1812	0.52	CHEMBL59	C0001206
+3286	C0030567	1812	0.52	CHEMBL59	C0020649
+3287	C0030567	1812	0.52	CHEMBL59	C0024586
+3288	C0030567	1812	0.52	CHEMBL59	C0184567
+3289	C0030567	1812	0.52	CHEMBL59	C0242422
+3290	C0030567	1812	0.52	CHEMBL59	C0600177
+3291	C0030567	1812	0.52	CHEMBL59	C1621958
+3292	C0030567	1812	0.52	CHEMBL493	C0001206
+3293	C0030567	1812	0.52	CHEMBL493	C0020514
+3294	C0030567	1812	0.52	CHEMBL1009	C0184567
+3295	C0030567	1812	0.52	CHEMBL1009	C0242422
+3296	C0030567	1812	0.52	CHEMBL1009	C1621958
+3297	C0030567	1812	0.52	CHEMBL1303	C0035258
+3298	C0030567	3350	0.22	CHEMBL59	C0001206
+3299	C0030567	3350	0.22	CHEMBL59	C0020649
+3300	C0030567	3350	0.22	CHEMBL59	C0024586
+3301	C0030567	3350	0.22	CHEMBL59	C0184567
+3302	C0030567	3350	0.22	CHEMBL59	C0242422
+3303	C0030567	3350	0.22	CHEMBL59	C0600177
+3304	C0030567	3350	0.22	CHEMBL59	C1621958
+3305	C0030567	3350	0.22	CHEMBL301265	C0002736
+3306	C0030567	3350	0.22	CHEMBL301265	C0016053
+3307	C0030567	3350	0.22	CHEMBL301265	C0035258
+3308	C0030567	3350	0.22	CHEMBL301265	C0596170
+3309	C0030567	3350	0.22	CHEMBL493	C0001206
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+3587	C0038436	6531	0.03	CHEMBL809	C0001973
+3588	C0038436	6531	0.03	CHEMBL809	C0009186
+3589	C0038436	6531	0.03	CHEMBL809	C0010414
+3590	C0038436	6531	0.03	CHEMBL809	C0011581
+3591	C0038436	6531	0.03	CHEMBL809	C0028768
+3592	C0038436	6531	0.03	CHEMBL809	C0030319
+3593	C0038436	6531	0.03	CHEMBL809	C0036341
+3594	C0038436	6531	0.03	CHEMBL809	C0497327
+3595	C0038436	6531	0.03	CHEMBL809	C0917801
+3596	C0038436	6531	0.03	CHEMBL809	C1269683
+3597	C0036341	6531	0.4	CHEMBL637	C0030319
+3598	C0036341	6531	0.4	CHEMBL637	C0497327
+3599	C0036341	6531	0.4	CHEMBL637	C1269683
+3600	C0036341	6531	0.4	CHEMBL894	C0011581
+3601	C0036341	6531	0.4	CHEMBL894	C0028043
+3602	C0036341	6531	0.4	CHEMBL894	C0028754
+3603	C0036341	6531	0.4	CHEMBL894	C0085159
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+3605	C0036341	6531	0.4	CHEMBL894	C1269683
+3606	C0028754	6531	0.02	CHEMBL894	C0011581
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+3608	C0028754	6531	0.02	CHEMBL894	C0036341
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+3610	C0028754	6531	0.02	CHEMBL894	C0497327
+3611	C0028754	6531	0.02	CHEMBL894	C1269683
+3612	C0036341	6531	0.4	CHEMBL11	C0011581
+3613	C0036341	6531	0.4	CHEMBL11	C0270327
+3614	C0036341	6531	0.4	CHEMBL11	C0497327
+3615	C0036341	6531	0.4	CHEMBL644	C0011581
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+3617	C0036341	6531	0.4	CHEMBL6437	C0497327
+3618	C0036341	6531	0.4	CHEMBL6437	C1269683
+3619	C0036341	150	0.34	CHEMBL831	C0005586
+3620	C0036341	150	0.34	CHEMBL716	C0003125
+3621	C0036341	150	0.34	CHEMBL716	C0005586
+3622	C0036341	150	0.34	CHEMBL716	C0005587
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+3624	C0036341	150	0.34	CHEMBL716	C0497327
+3625	C0036341	150	0.34	CHEMBL716	C1269683
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+3627	C0036341	150	0.34	CHEMBL1112	C0005586
+3628	C0036341	150	0.34	CHEMBL1112	C0036337
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+3630	C0036341	150	0.34	CHEMBL1112	C1263846
+3631	C0036341	150	0.34	CHEMBL1621	C0033975
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+3634	C0036341	150	0.34	CHEMBL741	C0005586
+3635	C0036341	150	0.34	CHEMBL741	C0014544
+3636	C0036341	150	0.34	CHEMBL741	C0234974
+3637	C0036341	150	0.34	CHEMBL741	C0494475
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+3656	C0036341	1129	0.31	CHEMBL715	C0005586
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+3688	C0005586	1129	0.31	CHEMBL1112	C0497327
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+3690	C0036341	1129	0.31	CHEMBL643	C0009766
+3691	C0036341	1129	0.31	CHEMBL643	C0010200
+3692	C0036341	1129	0.31	CHEMBL643	C0011615
+3693	C0036341	1129	0.31	CHEMBL643	C0018621
+3694	C0036341	1129	0.31	CHEMBL643	C0027497
+3695	C0036341	1129	0.31	CHEMBL643	C0030305
+3696	C0036341	1129	0.31	CHEMBL643	C0035455
+3697	C0036341	1129	0.31	CHEMBL643	C0042109
+3698	C0036341	1129	0.31	CHEMBL643	C0042963
+3699	C0036341	1129	0.31	CHEMBL643	C0497327
+3700	C0036341	1129	0.31	CHEMBL657	C0009766
+3701	C0036341	1129	0.31	CHEMBL657	C0010200
+3702	C0036341	1129	0.31	CHEMBL657	C0011615
+3703	C0036341	1129	0.31	CHEMBL657	C0018621
+3704	C0036341	1129	0.31	CHEMBL657	C0027497
+3705	C0036341	1129	0.31	CHEMBL657	C0030305
+3706	C0036341	1129	0.31	CHEMBL657	C0035455
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+3708	C0036341	1129	0.31	CHEMBL657	C0497327
+3709	C0036341	1129	0.31	CHEMBL657	C0917801
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+3718	C0036341	1129	0.31	CHEMBL1628227	C0033774
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+3900	C0005586	3358	0.39	CHEMBL1112	C0036341
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+3903	C0036341	3358	0.4	CHEMBL1621	C0033975
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+3906	C0036341	3358	0.4	CHEMBL71	C0012734
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+3908	C0036341	3358	0.4	CHEMBL71	C0162565
+3909	C0036341	3358	0.4	CHEMBL564	C0002994
+3910	C0036341	3358	0.4	CHEMBL564	C0009766
+3911	C0036341	3358	0.4	CHEMBL564	C0012734
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+3913	C0036341	3358	0.4	CHEMBL564	C0033774
+3914	C0036341	3358	0.4	CHEMBL564	C0033975
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+3916	C0036341	3358	0.4	CHEMBL564	C0042109
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+4000	C0036341	6530	0.34	CHEMBL894	C0497327
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+4205	C0036341	3269	0.31	CHEMBL490	C0497327
+4206	C0036341	3269	0.31	CHEMBL490	C0600142
+4207	C0036341	3269	0.31	CHEMBL490	C1269683
+4208	C0036341	3269	0.31	CHEMBL643	C0009766
+4209	C0036341	3269	0.31	CHEMBL643	C0010200
+4210	C0036341	3269	0.31	CHEMBL643	C0011615
+4211	C0036341	3269	0.31	CHEMBL643	C0018621
+4212	C0036341	3269	0.31	CHEMBL643	C0027497
+4213	C0036341	3269	0.31	CHEMBL643	C0030305
+4214	C0036341	3269	0.31	CHEMBL643	C0035455
+4215	C0036341	3269	0.31	CHEMBL643	C0042109
+4216	C0036341	3269	0.31	CHEMBL643	C0042963
+4217	C0036341	3269	0.31	CHEMBL643	C0497327
+4218	C0036341	3269	0.31	CHEMBL657	C0009766
+4219	C0036341	3269	0.31	CHEMBL657	C0010200
+4220	C0036341	3269	0.31	CHEMBL657	C0011615
+4221	C0036341	3269	0.31	CHEMBL657	C0018621
+4222	C0036341	3269	0.31	CHEMBL657	C0027497
+4223	C0036341	3269	0.31	CHEMBL657	C0030305
+4224	C0036341	3269	0.31	CHEMBL657	C0035455
+4225	C0036341	3269	0.31	CHEMBL657	C0042963
+4226	C0036341	3269	0.31	CHEMBL657	C0497327
+4227	C0036341	3269	0.31	CHEMBL657	C0917801
+4228	C0036341	3269	0.31	CHEMBL629	C0011581
+4229	C0036341	3269	0.31	CHEMBL629	C0030193
+4230	C0036341	3269	0.31	CHEMBL629	C0149931
+4231	C0036341	3269	0.31	CHEMBL629	C0497327
+4232	C0036341	3269	0.31	CHEMBL629	C0917801
+4233	C0036341	3269	0.31	CHEMBL896	C0009766
+4234	C0036341	3269	0.31	CHEMBL896	C0011615
+4235	C0036341	3269	0.31	CHEMBL896	C0033774
+4236	C0036341	3269	0.31	CHEMBL896	C0042109
+4237	C0036341	3269	0.31	CHEMBL896	C0497327
+4238	C0036341	3269	0.31	CHEMBL896	C2607914
+4239	C0036341	3269	0.31	CHEMBL11	C0011581
+4240	C0036341	3269	0.31	CHEMBL11	C0270327
+4241	C0036341	3269	0.31	CHEMBL11	C0497327
+4242	C0036341	3269	0.31	CHEMBL445	C0011581
+4243	C0036341	3269	0.31	CHEMBL445	C0497327
+4244	C0036341	3269	0.31	CHEMBL21731	C0011581
+4245	C0036341	3269	0.31	CHEMBL21731	C0497327
+4246	C0036341	3269	0.31	CHEMBL644	C0011581
+4247	C0036341	3269	0.31	CHEMBL644	C0497327
+4248	C0036341	3269	0.31	CHEMBL1628227	C0005587
+4249	C0036341	3269	0.31	CHEMBL1628227	C0011581
+4250	C0036341	3269	0.31	CHEMBL1628227	C0011615
+4251	C0036341	3269	0.31	CHEMBL1628227	C0033774
+4252	C0036341	3269	0.31	CHEMBL1628227	C0149922
+4253	C0036341	3269	0.31	CHEMBL1628227	C0497327
+4254	C0036341	3269	0.31	CHEMBL1628227	C0917801
+4255	C0036341	3269	0.31	CHEMBL908	C0497327
+4256	C0036341	3269	0.31	CHEMBL42	C0497327
+4257	C0036341	3269	0.31	CHEMBL1764	C0497327
+4258	C0036341	3269	0.31	CHEMBL6437	C0497327
+4259	C0036341	3269	0.31	CHEMBL6437	C1269683
+4260	C0036341	3269	0.31	CHEMBL654	C0497327
+4261	C0036341	3269	0.31	CHEMBL654	C1269683
+4262	C0036341	3269	0.31	CHEMBL621	C0497327
+4263	C0036341	3269	0.31	CHEMBL621	C1269683
+4264	C0036341	151	0.03	CHEMBL831	C0005586
+4265	C0036341	151	0.03	CHEMBL716	C0003125
+4266	C0036341	151	0.03	CHEMBL716	C0005586
+4267	C0036341	151	0.03	CHEMBL716	C0005587
+4268	C0036341	151	0.03	CHEMBL716	C0036337
+4269	C0036341	151	0.03	CHEMBL716	C0497327
+4270	C0036341	151	0.03	CHEMBL716	C1269683
+4271	C0036341	151	0.03	CHEMBL85	C0002395
+4272	C0036341	151	0.03	CHEMBL85	C0004352
+4273	C0036341	151	0.03	CHEMBL85	C0030319
+4274	C0036341	151	0.03	CHEMBL85	C0036337
+4275	C0036341	151	0.03	CHEMBL85	C0497327
+4276	C0036341	151	0.03	CHEMBL1112	C0004352
+4277	C0036341	151	0.03	CHEMBL1112	C0005586
+4278	C0036341	151	0.03	CHEMBL1112	C0036337
+4279	C0036341	151	0.03	CHEMBL1112	C0497327
+4280	C0036341	151	0.03	CHEMBL1112	C1263846
+4281	C0036341	151	0.03	CHEMBL1621	C0033975
+4282	C0036341	151	0.03	CHEMBL1621	C0036337
+4283	C0036341	151	0.03	CHEMBL1621	C0497327
+4284	C0036341	151	0.03	CHEMBL644	C0011581
+4285	C0036341	151	0.03	CHEMBL644	C0497327
+4286	C0036341	151	0.03	CHEMBL42	C0497327
+4287	C0036341	151	0.03	CHEMBL1764	C0497327
+4288	C0036341	151	0.03	CHEMBL6437	C0497327
+4289	C0036341	151	0.03	CHEMBL6437	C1269683
+4290	C0036341	1128	0.38	CHEMBL831	C0005586
+4291	C0036341	1128	0.38	CHEMBL715	C0005586
+4292	C0036341	1128	0.38	CHEMBL715	C0005587
+4293	C0036341	1128	0.38	CHEMBL715	C0027497
+4294	C0036341	1128	0.38	CHEMBL715	C0036337
+4295	C0036341	1128	0.38	CHEMBL715	C0497327
+4296	C0036341	1128	0.38	CHEMBL715	C1269683
+4297	C0036341	1128	0.38	CHEMBL716	C0003125
+4298	C0036341	1128	0.38	CHEMBL716	C0005586
+4299	C0036341	1128	0.38	CHEMBL716	C0005587
+4300	C0036341	1128	0.38	CHEMBL716	C0036337
+4301	C0036341	1128	0.38	CHEMBL716	C0497327
+4302	C0036341	1128	0.38	CHEMBL716	C1269683
+4303	C0036341	1128	0.38	CHEMBL1112	C0004352
+4304	C0036341	1128	0.38	CHEMBL1112	C0005586
+4305	C0036341	1128	0.38	CHEMBL1112	C0036337
+4306	C0036341	1128	0.38	CHEMBL1112	C0497327
+4307	C0036341	1128	0.38	CHEMBL1112	C1263846
+4308	C0036341	1128	0.38	CHEMBL71	C0012734
+4309	C0036341	1128	0.38	CHEMBL71	C0033975
+4310	C0036341	1128	0.38	CHEMBL71	C0162565
+4311	C0036341	1128	0.38	CHEMBL564	C0002994
+4312	C0036341	1128	0.38	CHEMBL564	C0009766
+4313	C0036341	1128	0.38	CHEMBL564	C0012734
+4314	C0036341	1128	0.38	CHEMBL564	C0027497
+4315	C0036341	1128	0.38	CHEMBL564	C0033774
+4316	C0036341	1128	0.38	CHEMBL564	C0033975
+4317	C0036341	1128	0.38	CHEMBL564	C0037383
+4318	C0036341	1128	0.38	CHEMBL564	C0042109
+4319	C0036341	1128	0.38	CHEMBL564	C0042963
+4320	C0036341	1128	0.38	CHEMBL564	C0162565
+4321	C0036341	1128	0.38	CHEMBL564	C2607914
+4322	C0036341	1128	0.38	CHEMBL643	C0009766
+4323	C0036341	1128	0.38	CHEMBL643	C0010200
+4324	C0036341	1128	0.38	CHEMBL643	C0011615
+4325	C0036341	1128	0.38	CHEMBL643	C0018621
+4326	C0036341	1128	0.38	CHEMBL643	C0027497
+4327	C0036341	1128	0.38	CHEMBL643	C0030305
+4328	C0036341	1128	0.38	CHEMBL643	C0035455
+4329	C0036341	1128	0.38	CHEMBL643	C0042109
+4330	C0036341	1128	0.38	CHEMBL643	C0042963
+4331	C0036341	1128	0.38	CHEMBL643	C0497327
+4332	C0036341	1128	0.38	CHEMBL11	C0011581
+4333	C0036341	1128	0.38	CHEMBL11	C0270327
+4334	C0036341	1128	0.38	CHEMBL11	C0497327
+4335	C0036341	1128	0.38	CHEMBL1101	C0015371
+4336	C0036341	1128	0.38	CHEMBL1101	C0030567
+4337	C0036341	1128	0.38	CHEMBL1101	C0242422
+4338	C0036341	1128	0.38	CHEMBL1101	C0497327
+4339	C0036341	1128	0.38	CHEMBL21731	C0011581
+4340	C0036341	1128	0.38	CHEMBL21731	C0497327
+4341	C0036341	1128	0.38	CHEMBL1628227	C0005587
+4342	C0036341	1128	0.38	CHEMBL1628227	C0011581
+4343	C0036341	1128	0.38	CHEMBL1628227	C0011615
+4344	C0036341	1128	0.38	CHEMBL1628227	C0033774
+4345	C0036341	1128	0.38	CHEMBL1628227	C0149922
+4346	C0036341	1128	0.38	CHEMBL1628227	C0497327
+4347	C0036341	1128	0.38	CHEMBL1628227	C0917801
+4348	C0036341	1128	0.38	CHEMBL908	C0497327
+4349	C0036341	1128	0.38	CHEMBL42	C0497327
+4350	C0036341	1128	0.38	CHEMBL1764	C0497327
+4351	C0036341	3361	0.35	CHEMBL831	C0005586
+4352	C0005586	3361	0.32	CHEMBL831	C0036341
+4353	C0036341	3361	0.35	CHEMBL1112	C0004352
+4354	C0036341	3361	0.35	CHEMBL1112	C0005586
+4355	C0036341	3361	0.35	CHEMBL1112	C0036337
+4356	C0036341	3361	0.35	CHEMBL1112	C0497327
+4357	C0036341	3361	0.35	CHEMBL1112	C1263846
+4358	C0005586	3361	0.32	CHEMBL1112	C0004352
+4359	C0005586	3361	0.32	CHEMBL1112	C0036337
+4360	C0005586	3361	0.32	CHEMBL1112	C0036341
+4361	C0005586	3361	0.32	CHEMBL1112	C0497327
+4362	C0005586	3361	0.32	CHEMBL1112	C1263846
+4363	C0036341	1816	0.07	CHEMBL831	C0005586
+4364	C0005586	1816	0.53	CHEMBL831	C0036341
+4365	C0036341	1816	0.07	CHEMBL715	C0005586
+4366	C0036341	1816	0.07	CHEMBL715	C0005587
+4367	C0036341	1816	0.07	CHEMBL715	C0027497
+4368	C0036341	1816	0.07	CHEMBL715	C0036337
+4369	C0036341	1816	0.07	CHEMBL715	C0497327
+4370	C0036341	1816	0.07	CHEMBL715	C1269683
+4371	C0005587	1816	0.3	CHEMBL715	C0005586
+4372	C0005587	1816	0.3	CHEMBL715	C0027497
+4373	C0005587	1816	0.3	CHEMBL715	C0036337
+4374	C0005587	1816	0.3	CHEMBL715	C0036341
+4375	C0005587	1816	0.3	CHEMBL715	C0497327
+4376	C0005587	1816	0.3	CHEMBL715	C1269683
+4377	C0005586	1816	0.53	CHEMBL715	C0005587
+4378	C0005586	1816	0.53	CHEMBL715	C0027497
+4379	C0005586	1816	0.53	CHEMBL715	C0036337
+4380	C0005586	1816	0.53	CHEMBL715	C0036341
+4381	C0005586	1816	0.53	CHEMBL715	C0497327
+4382	C0005586	1816	0.53	CHEMBL715	C1269683
+4383	C0036341	1816	0.07	CHEMBL716	C0003125
+4384	C0036341	1816	0.07	CHEMBL716	C0005586
+4385	C0036341	1816	0.07	CHEMBL716	C0005587
+4386	C0036341	1816	0.07	CHEMBL716	C0036337
+4387	C0036341	1816	0.07	CHEMBL716	C0497327
+4388	C0036341	1816	0.07	CHEMBL716	C1269683
+4389	C0005587	1816	0.3	CHEMBL716	C0003125
+4390	C0005587	1816	0.3	CHEMBL716	C0005586
+4391	C0005587	1816	0.3	CHEMBL716	C0036337
+4392	C0005587	1816	0.3	CHEMBL716	C0036341
+4393	C0005587	1816	0.3	CHEMBL716	C0497327
+4394	C0005587	1816	0.3	CHEMBL716	C1269683
+4395	C0005586	1816	0.53	CHEMBL716	C0003125
+4396	C0005586	1816	0.53	CHEMBL716	C0005587
+4397	C0005586	1816	0.53	CHEMBL716	C0036337
+4398	C0005586	1816	0.53	CHEMBL716	C0036341
+4399	C0005586	1816	0.53	CHEMBL716	C0497327
+4400	C0005586	1816	0.53	CHEMBL716	C1269683
+4401	C0036341	1816	0.07	CHEMBL1112	C0004352
+4402	C0036341	1816	0.07	CHEMBL1112	C0005586
+4403	C0036341	1816	0.07	CHEMBL1112	C0036337
+4404	C0036341	1816	0.07	CHEMBL1112	C0497327
+4405	C0036341	1816	0.07	CHEMBL1112	C1263846
+4406	C0005586	1816	0.53	CHEMBL1112	C0004352
+4407	C0005586	1816	0.53	CHEMBL1112	C0036337
+4408	C0005586	1816	0.53	CHEMBL1112	C0036341
+4409	C0005586	1816	0.53	CHEMBL1112	C0497327
+4410	C0005586	1816	0.53	CHEMBL1112	C1263846
+4411	C0036341	1816	0.07	CHEMBL71	C0012734
+4412	C0036341	1816	0.07	CHEMBL71	C0033975
+4413	C0036341	1816	0.07	CHEMBL71	C0162565
+4414	C0036341	1816	0.07	CHEMBL741	C0005586
+4415	C0036341	1816	0.07	CHEMBL741	C0014544
+4416	C0036341	1816	0.07	CHEMBL741	C0234974
+4417	C0036341	1816	0.07	CHEMBL741	C0494475
+4418	C0036341	1816	0.07	CHEMBL741	C0497327
+4419	C0005586	1816	0.53	CHEMBL741	C0014544
+4420	C0005586	1816	0.53	CHEMBL741	C0036341
+4421	C0005586	1816	0.53	CHEMBL741	C0234974
+4422	C0005586	1816	0.53	CHEMBL741	C0494475
+4423	C0005586	1816	0.53	CHEMBL741	C0497327
+4424	C0036341	1816	0.07	CHEMBL490	C0011581
+4425	C0036341	1816	0.07	CHEMBL490	C0028768
+4426	C0036341	1816	0.07	CHEMBL490	C0030319
+4427	C0036341	1816	0.07	CHEMBL490	C0038436
+4428	C0036341	1816	0.07	CHEMBL490	C0497327
+4429	C0036341	1816	0.07	CHEMBL490	C0600142
+4430	C0036341	1816	0.07	CHEMBL490	C1269683
+4431	C0036341	1816	0.07	CHEMBL11	C0011581
+4432	C0036341	1816	0.07	CHEMBL11	C0270327
+4433	C0036341	1816	0.07	CHEMBL11	C0497327
+4434	C0036341	1816	0.07	CHEMBL644	C0011581
+4435	C0036341	1816	0.07	CHEMBL644	C0497327
+4436	C0036341	1816	0.07	CHEMBL1764	C0497327
+4437	C0036341	1816	0.07	CHEMBL6437	C0497327
+4438	C0036341	1816	0.07	CHEMBL6437	C1269683
+4439	C0036341	3274	0.02	CHEMBL831	C0005586
+4440	C0036341	3274	0.02	CHEMBL1112	C0004352
+4441	C0036341	3274	0.02	CHEMBL1112	C0005586
+4442	C0036341	3274	0.02	CHEMBL1112	C0036337
+4443	C0036341	3274	0.02	CHEMBL1112	C0497327
+4444	C0036341	3274	0.02	CHEMBL1112	C1263846
+4445	C0036341	3274	0.02	CHEMBL643	C0009766
+4446	C0036341	3274	0.02	CHEMBL643	C0010200
+4447	C0036341	3274	0.02	CHEMBL643	C0011615
+4448	C0036341	3274	0.02	CHEMBL643	C0018621
+4449	C0036341	3274	0.02	CHEMBL643	C0027497
+4450	C0036341	3274	0.02	CHEMBL643	C0030305
+4451	C0036341	3274	0.02	CHEMBL643	C0035455
+4452	C0036341	3274	0.02	CHEMBL643	C0042109
+4453	C0036341	3274	0.02	CHEMBL643	C0042963
+4454	C0036341	3274	0.02	CHEMBL643	C0497327
+4455	C0036341	3274	0.02	CHEMBL629	C0011581
+4456	C0036341	3274	0.02	CHEMBL629	C0030193
+4457	C0036341	3274	0.02	CHEMBL629	C0149931
+4458	C0036341	3274	0.02	CHEMBL629	C0497327
+4459	C0036341	3274	0.02	CHEMBL629	C0917801
+4460	C0036341	3274	0.02	CHEMBL1628227	C0005587
+4461	C0036341	3274	0.02	CHEMBL1628227	C0011581
+4462	C0036341	3274	0.02	CHEMBL1628227	C0011615
+4463	C0036341	3274	0.02	CHEMBL1628227	C0033774
+4464	C0036341	3274	0.02	CHEMBL1628227	C0149922
+4465	C0036341	3274	0.02	CHEMBL1628227	C0497327
+4466	C0036341	3274	0.02	CHEMBL1628227	C0917801
+4467	C0036341	1133	0.31	CHEMBL831	C0005586
+4468	C0036341	1133	0.31	CHEMBL716	C0003125
+4469	C0036341	1133	0.31	CHEMBL716	C0005586
+4470	C0036341	1133	0.31	CHEMBL716	C0005587
+4471	C0036341	1133	0.31	CHEMBL716	C0036337
+4472	C0036341	1133	0.31	CHEMBL716	C0497327
+4473	C0036341	1133	0.31	CHEMBL716	C1269683
+4474	C0036341	1133	0.31	CHEMBL1112	C0004352
+4475	C0036341	1133	0.31	CHEMBL1112	C0005586
+4476	C0036341	1133	0.31	CHEMBL1112	C0036337
+4477	C0036341	1133	0.31	CHEMBL1112	C0497327
+4478	C0036341	1133	0.31	CHEMBL1112	C1263846
+4479	C0036341	1133	0.31	CHEMBL490	C0011581
+4480	C0036341	1133	0.31	CHEMBL490	C0028768
+4481	C0036341	1133	0.31	CHEMBL490	C0030319
+4482	C0036341	1133	0.31	CHEMBL490	C0038436
+4483	C0036341	1133	0.31	CHEMBL490	C0497327
+4484	C0036341	1133	0.31	CHEMBL490	C0600142
+4485	C0036341	1133	0.31	CHEMBL490	C1269683
+4486	C0036341	1133	0.31	CHEMBL643	C0009766
+4487	C0036341	1133	0.31	CHEMBL643	C0010200
+4488	C0036341	1133	0.31	CHEMBL643	C0011615
+4489	C0036341	1133	0.31	CHEMBL643	C0018621
+4490	C0036341	1133	0.31	CHEMBL643	C0027497
+4491	C0036341	1133	0.31	CHEMBL643	C0030305
+4492	C0036341	1133	0.31	CHEMBL643	C0035455
+4493	C0036341	1133	0.31	CHEMBL643	C0042109
+4494	C0036341	1133	0.31	CHEMBL643	C0042963
+4495	C0036341	1133	0.31	CHEMBL643	C0497327
+4496	C0036341	1133	0.31	CHEMBL629	C0011581
+4497	C0036341	1133	0.31	CHEMBL629	C0030193
+4498	C0036341	1133	0.31	CHEMBL629	C0149931
+4499	C0036341	1133	0.31	CHEMBL629	C0497327
+4500	C0036341	1133	0.31	CHEMBL629	C0917801
+4501	C0036341	1133	0.31	CHEMBL11	C0011581
+4502	C0036341	1133	0.31	CHEMBL11	C0270327
+4503	C0036341	1133	0.31	CHEMBL11	C0497327
+4504	C0036341	1133	0.31	CHEMBL445	C0011581
+4505	C0036341	1133	0.31	CHEMBL445	C0497327
+4506	C0036341	1133	0.31	CHEMBL21731	C0011581
+4507	C0036341	1133	0.31	CHEMBL21731	C0497327
+4508	C0036341	1133	0.31	CHEMBL644	C0011581
+4509	C0036341	1133	0.31	CHEMBL644	C0497327
+4510	C0036341	1133	0.31	CHEMBL1628227	C0005587
+4511	C0036341	1133	0.31	CHEMBL1628227	C0011581
+4512	C0036341	1133	0.31	CHEMBL1628227	C0011615
+4513	C0036341	1133	0.31	CHEMBL1628227	C0033774
+4514	C0036341	1133	0.31	CHEMBL1628227	C0149922
+4515	C0036341	1133	0.31	CHEMBL1628227	C0497327
+4516	C0036341	1133	0.31	CHEMBL1628227	C0917801
+4517	C0036341	1133	0.31	CHEMBL908	C0497327
+4518	C0036341	1133	0.31	CHEMBL42	C0497327
+4519	C0036341	1133	0.31	CHEMBL1764	C0497327
+4520	C0036341	1132	0.33	CHEMBL831	C0005586
+4521	C0036341	1132	0.33	CHEMBL715	C0005586
+4522	C0036341	1132	0.33	CHEMBL715	C0005587
+4523	C0036341	1132	0.33	CHEMBL715	C0027497
+4524	C0036341	1132	0.33	CHEMBL715	C0036337
+4525	C0036341	1132	0.33	CHEMBL715	C0497327
+4526	C0036341	1132	0.33	CHEMBL715	C1269683
+4527	C0036341	1132	0.33	CHEMBL716	C0003125
+4528	C0036341	1132	0.33	CHEMBL716	C0005586
+4529	C0036341	1132	0.33	CHEMBL716	C0005587
+4530	C0036341	1132	0.33	CHEMBL716	C0036337
+4531	C0036341	1132	0.33	CHEMBL716	C0497327
+4532	C0036341	1132	0.33	CHEMBL716	C1269683
+4533	C0036341	1132	0.33	CHEMBL1112	C0004352
+4534	C0036341	1132	0.33	CHEMBL1112	C0005586
+4535	C0036341	1132	0.33	CHEMBL1112	C0036337
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+4537	C0036341	1132	0.33	CHEMBL1112	C1263846
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+4540	C0036341	1132	0.33	CHEMBL643	C0011615
+4541	C0036341	1132	0.33	CHEMBL643	C0018621
+4542	C0036341	1132	0.33	CHEMBL643	C0027497
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+4544	C0036341	1132	0.33	CHEMBL643	C0035455
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+4823	C1140680	596	0.1	CHEMBL428647	C0678222
+4824	C1140680	596	0.1	CHEMBL428647	C1621958
+4825	C1140680	8856	0.02	CHEMBL428647	C0007129
+4826	C1140680	8856	0.02	CHEMBL428647	C0007131
+4827	C1140680	8856	0.02	CHEMBL428647	C0007137
+4828	C1140680	8856	0.02	CHEMBL428647	C0007138
+4829	C1140680	8856	0.02	CHEMBL428647	C0017612
+4830	C1140680	8856	0.02	CHEMBL428647	C0020538
+4831	C1140680	8856	0.02	CHEMBL428647	C0028840
+4832	C1140680	8856	0.02	CHEMBL428647	C0036220
+4833	C1140680	8856	0.02	CHEMBL428647	C0238122
+4834	C1140680	8856	0.02	CHEMBL428647	C0678222
+4835	C1140680	8856	0.02	CHEMBL428647	C1621958
+4836	C0014544	8856	0.02	CHEMBL40	C0009088
+4837	C0014544	8856	0.02	CHEMBL40	C0014549
+4838	C0014544	8856	0.02	CHEMBL40	C0036341
+4839	C0014544	8856	0.02	CHEMBL40	C0038220
+4840	C0014544	8856	0.02	CHEMBL40	C0042376
+4841	C0014544	8856	0.02	CHEMBL40	C0149931
+4842	C0014544	8856	0.02	CHEMBL40	C0234974
+4843	C0014544	8856	0.02	CHEMBL40	C0494475
+4844	C0014544	8856	0.02	CHEMBL40	C0497327
+4845	C0014544	8856	0.02	CHEMBL861	C0014547
+4846	C0014544	8856	0.02	CHEMBL45029	C0014549
+4847	C0014544	8856	0.02	CHEMBL448	C0038220
+4848	C0014544	8856	0.02	CHEMBL448	C0917798
+4849	C0014544	8856	0.02	CHEMBL448	C0917801
+4850	C0014544	8856	0.02	CHEMBL108	C0014547
+4851	C0014544	8856	0.02	CHEMBL108	C0014549
+4852	C0014544	8856	0.02	CHEMBL108	C0036341
+4853	C0014544	8856	0.02	CHEMBL108	C0040997
+4854	C0014544	8856	0.02	CHEMBL108	C0154731
+4855	C0014544	8856	0.02	CHEMBL108	C0234974
+4856	C0014544	8856	0.02	CHEMBL108	C0494475
+4857	C0014544	8856	0.02	CHEMBL108	C0497327
+4858	C0014544	8856	0.02	CHEMBL452	C0014550
+4859	C0014544	8856	0.02	CHEMBL452	C0014553
+4860	C0014544	8856	0.02	CHEMBL452	C0030319
+4861	C0014544	8856	0.02	CHEMBL452	C0036341
+4862	C0014544	8856	0.02	CHEMBL452	C0270846
+4863	C0014544	8856	0.02	CHEMBL452	C0497327
+4864	C0014544	1137	0.1	CHEMBL40	C0009088
+4865	C0014544	1137	0.1	CHEMBL40	C0014549
+4866	C0014544	1137	0.1	CHEMBL40	C0036341
+4867	C0014544	1137	0.1	CHEMBL40	C0038220
+4868	C0014544	1137	0.1	CHEMBL40	C0042376
+4869	C0014544	1137	0.1	CHEMBL40	C0149931
+4870	C0014544	1137	0.1	CHEMBL40	C0234974
+4871	C0014544	1137	0.1	CHEMBL40	C0494475
+4872	C0014544	1137	0.1	CHEMBL40	C0497327
+4873	C0036341	1137	0.38	CHEMBL40	C0009088
+4874	C0036341	1137	0.38	CHEMBL40	C0014544
+4875	C0036341	1137	0.38	CHEMBL40	C0014549
+4876	C0036341	1137	0.38	CHEMBL40	C0038220
+4877	C0036341	1137	0.38	CHEMBL40	C0042376
+4878	C0036341	1137	0.38	CHEMBL40	C0149931
+4879	C0036341	1137	0.38	CHEMBL40	C0234974
+4880	C0036341	1137	0.38	CHEMBL40	C0494475
+4881	C0036341	1137	0.38	CHEMBL40	C0497327
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+4883	C0014544	1137	0.1	CHEMBL448	C0038220
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+4885	C0014544	1137	0.1	CHEMBL448	C0917801
+4886	C0014544	1137	0.1	CHEMBL856	C0014547
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+4888	C0014544	1137	0.1	CHEMBL856	C0234974
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+4890	C0014544	1137	0.1	CHEMBL441	C0033845
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+4892	C0014544	1137	0.1	CHEMBL267894	C0038220
+4893	C0014544	1137	0.1	CHEMBL267894	C0917801
+4894	C0014544	1137	0.1	CHEMBL447	C0038220
+4895	C0014544	1137	0.1	CHEMBL447	C0917801
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+4897	C0014544	2554	0.04	CHEMBL40	C0014549
+4898	C0014544	2554	0.04	CHEMBL40	C0036341
+4899	C0014544	2554	0.04	CHEMBL40	C0038220
+4900	C0014544	2554	0.04	CHEMBL40	C0042376
+4901	C0014544	2554	0.04	CHEMBL40	C0149931
+4902	C0014544	2554	0.04	CHEMBL40	C0234974
+4903	C0014544	2554	0.04	CHEMBL40	C0494475
+4904	C0014544	2554	0.04	CHEMBL40	C0497327
+4905	C0036341	2554	0.34	CHEMBL40	C0009088
+4906	C0036341	2554	0.34	CHEMBL40	C0014544
+4907	C0036341	2554	0.34	CHEMBL40	C0014549
+4908	C0036341	2554	0.34	CHEMBL40	C0038220
+4909	C0036341	2554	0.34	CHEMBL40	C0042376
+4910	C0036341	2554	0.34	CHEMBL40	C0149931
+4911	C0036341	2554	0.34	CHEMBL40	C0234974
+4912	C0036341	2554	0.34	CHEMBL40	C0494475
+4913	C0036341	2554	0.34	CHEMBL40	C0497327
+4914	C0014544	2554	0.04	CHEMBL220492	C0001973
+4915	C0014544	2554	0.04	CHEMBL220492	C0014549
+4916	C0014544	2554	0.04	CHEMBL220492	C0020473
+4917	C0014544	2554	0.04	CHEMBL220492	C0020557
+4918	C0014544	2554	0.04	CHEMBL220492	C0028754
+4919	C0014544	2554	0.04	CHEMBL220492	C0030567
+4920	C0014544	2554	0.04	CHEMBL220492	C0032897
+4921	C0014544	2554	0.04	CHEMBL220492	C0036341
+4922	C0014544	2554	0.04	CHEMBL220492	C0149931
+4923	C0014544	2554	0.04	CHEMBL220492	C0234974
+4924	C0014544	2554	0.04	CHEMBL220492	C0497327
+4925	C0036341	2554	0.34	CHEMBL220492	C0001973
+4926	C0036341	2554	0.34	CHEMBL220492	C0014544
+4927	C0036341	2554	0.34	CHEMBL220492	C0014549
+4928	C0036341	2554	0.34	CHEMBL220492	C0020473
+4929	C0036341	2554	0.34	CHEMBL220492	C0020557
+4930	C0036341	2554	0.34	CHEMBL220492	C0028754
+4931	C0036341	2554	0.34	CHEMBL220492	C0030567
+4932	C0036341	2554	0.34	CHEMBL220492	C0032897
+4933	C0036341	2554	0.34	CHEMBL220492	C0149931
+4934	C0036341	2554	0.34	CHEMBL220492	C0234974
+4935	C0036341	2554	0.34	CHEMBL220492	C0497327
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+4940	C0014544	2554	0.04	CHEMBL856	C0014547
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+4949	C0014544	2554	0.04	CHEMBL447	C0917801
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+4952	C0014544	1139	0.02	CHEMBL40	C0036341
+4953	C0014544	1139	0.02	CHEMBL40	C0038220
+4954	C0014544	1139	0.02	CHEMBL40	C0042376
+4955	C0014544	1139	0.02	CHEMBL40	C0149931
+4956	C0014544	1139	0.02	CHEMBL40	C0234974
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+4959	C0036341	1139	0.4	CHEMBL40	C0009088
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+4961	C0036341	1139	0.4	CHEMBL40	C0014549
+4962	C0036341	1139	0.4	CHEMBL40	C0038220
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+4981	C0014544	1139	0.02	CHEMBL447	C0917801
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+4990	C0014544	2891	0.06	CHEMBL40	C0497327
+4991	C0036341	2891	0.35	CHEMBL40	C0009088
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+4993	C0036341	2891	0.35	CHEMBL40	C0014549
+4994	C0036341	2891	0.35	CHEMBL40	C0038220
+4995	C0036341	2891	0.35	CHEMBL40	C0042376
+4996	C0036341	2891	0.35	CHEMBL40	C0149931
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+5023	C0020538	3351	0.22	CHEMBL27	C0039240
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+5040	C0005586	3359	0.32	CHEMBL742	C0038220
+5041	C0005586	3359	0.32	CHEMBL742	C0150055
+5042	C0005586	3359	0.32	CHEMBL742	C0184567
+5043	C0005586	3359	0.32	CHEMBL742	C1269683
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+5060	C0005586	3358	0.39	CHEMBL742	C0038220
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+5063	C0005586	3358	0.39	CHEMBL742	C1269683
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+5072	C0005586	152	0.31	CHEMBL1112	C0036341
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+5075	C0005586	152	0.31	CHEMBL831	C0036341
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+5079	C0036341	4988	0.34	CHEMBL1112	C0497327
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+5084	C0036341	4988	0.34	CHEMBL46	C0042963
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+5128	C0004153	2247	0.03	CHEMBL413	C0007137
+5129	C0004153	2247	0.03	CHEMBL413	C0007138
+5130	C0004153	2247	0.03	CHEMBL413	C0020459
+5131	C0004153	2247	0.03	CHEMBL413	C0021670
+5132	C0004153	2247	0.03	CHEMBL413	C0026764
+5133	C0004153	2247	0.03	CHEMBL413	C0027819
+5134	C0004153	2247	0.03	CHEMBL413	C0030807
+5135	C0004153	2247	0.03	CHEMBL413	C0334634
+5136	C0004153	2247	0.03	CHEMBL413	C1621958
+5137	C0027819	2247	0.1	CHEMBL413	C0003873
+5138	C0027819	2247	0.1	CHEMBL413	C0004153
+5139	C0027819	2247	0.1	CHEMBL413	C0006413
+5140	C0027819	2247	0.1	CHEMBL413	C0007131
+5141	C0027819	2247	0.1	CHEMBL413	C0007134
+5142	C0027819	2247	0.1	CHEMBL413	C0007137
+5143	C0027819	2247	0.1	CHEMBL413	C0007138
+5144	C0027819	2247	0.1	CHEMBL413	C0020459
+5145	C0027819	2247	0.1	CHEMBL413	C0021670
+5146	C0027819	2247	0.1	CHEMBL413	C0026764
+5147	C0027819	2247	0.1	CHEMBL413	C0030807
+5148	C0027819	2247	0.1	CHEMBL413	C0334634
+5149	C0027819	2247	0.1	CHEMBL413	C1621958
+5150	C0003873	2247	0.07	CHEMBL413	C0004153
+5151	C0003873	2247	0.07	CHEMBL413	C0006413
+5152	C0003873	2247	0.07	CHEMBL413	C0007131
+5153	C0003873	2247	0.07	CHEMBL413	C0007134
+5154	C0003873	2247	0.07	CHEMBL413	C0007137
+5155	C0003873	2247	0.07	CHEMBL413	C0007138
+5156	C0003873	2247	0.07	CHEMBL413	C0020459
+5157	C0003873	2247	0.07	CHEMBL413	C0021670
+5158	C0003873	2247	0.07	CHEMBL413	C0026764
+5159	C0003873	2247	0.07	CHEMBL413	C0027819
+5160	C0003873	2247	0.07	CHEMBL413	C0030807
+5161	C0003873	2247	0.07	CHEMBL413	C0334634
+5162	C0003873	2247	0.07	CHEMBL413	C1621958
+5163	C0007134	3815	0.06	CHEMBL1336	C0007131
+5164	C0007134	3815	0.06	CHEMBL1336	C0036220
+5165	C0007134	3815	0.06	CHEMBL1336	C2239176
+5166	C0007134	3815	0.06	CHEMBL535	C0003962
+5167	C0007134	3815	0.06	CHEMBL535	C0007131
+5168	C0007134	3815	0.06	CHEMBL535	C0023480
+5169	C0007134	3815	0.06	CHEMBL535	C0238198
+5170	C0007134	3815	0.06	CHEMBL535	C1621958
+5171	C0007134	3815	0.06	CHEMBL477772	C1261473
+5172	C0007134	3815	0.06	CHEMBL1289601	C0206682
+5173	C0007134	3815	0.06	CHEMBL1289601	C0238463
+5174	C0007134	673	0.03	CHEMBL1336	C0007131
+5175	C0007134	673	0.03	CHEMBL1336	C0036220
+5176	C0007134	673	0.03	CHEMBL1336	C2239176
+5177	C0007134	3791	0.09	CHEMBL1336	C0007131
+5178	C0007134	3791	0.09	CHEMBL1336	C0036220
+5179	C0007134	3791	0.09	CHEMBL1336	C2239176
+5180	C0007134	3791	0.09	CHEMBL535	C0003962
+5181	C0007134	3791	0.09	CHEMBL535	C0007131
+5182	C0007134	3791	0.09	CHEMBL535	C0023480
+5183	C0007134	3791	0.09	CHEMBL535	C0238198
+5184	C0007134	3791	0.09	CHEMBL535	C1621958
+5185	C0007134	3791	0.09	CHEMBL477772	C1261473
+5186	C0007134	3791	0.09	CHEMBL1289926	C1621958
+5187	C0007134	3791	0.09	CHEMBL1289601	C0206682
+5188	C0007134	3791	0.09	CHEMBL1289601	C0238463
+5189	C0007134	5894	0.03	CHEMBL1336	C0007131
+5190	C0007134	5894	0.03	CHEMBL1336	C0036220
+5191	C0007134	5894	0.03	CHEMBL1336	C2239176
+5192	C0007134	5159	0.02	CHEMBL1336	C0007131
+5193	C0007134	5159	0.02	CHEMBL1336	C0036220
+5194	C0007134	5159	0.02	CHEMBL1336	C2239176
+5195	C0007134	5159	0.02	CHEMBL535	C0003962
+5196	C0007134	5159	0.02	CHEMBL535	C0007131
+5197	C0007134	5159	0.02	CHEMBL535	C0023480
+5198	C0007134	5159	0.02	CHEMBL535	C0238198
+5199	C0007134	5159	0.02	CHEMBL535	C1621958
+5200	C0007134	5159	0.02	CHEMBL477772	C1261473
+5201	C0020538	2908	0.7	CHEMBL1393	C0003962
+5202	C0020538	2908	0.7	CHEMBL1393	C0013604
+5203	C0020538	2908	0.7	CHEMBL1393	C0020428
+5204	C0020538	1585	0.2	CHEMBL1393	C0003962
+5205	C0020538	1585	0.2	CHEMBL1393	C0013604
+5206	C0020538	1585	0.2	CHEMBL1393	C0020428
+5207	C0020538	1586	0.2	CHEMBL1393	C0003962
+5208	C0020538	1586	0.2	CHEMBL1393	C0013604
+5209	C0020538	1586	0.2	CHEMBL1393	C0020428
+5210	C0020538	6462	0.1	CHEMBL1393	C0003962
+5211	C0020538	6462	0.1	CHEMBL1393	C0013604
+5212	C0020538	6462	0.1	CHEMBL1393	C0020428
+5213	C0020538	4306	0.2	CHEMBL1393	C0003962
+5214	C0020538	4306	0.2	CHEMBL1393	C0013604
+5215	C0020538	4306	0.2	CHEMBL1393	C0020428
+5216	C0003873	5595	0.03	CHEMBL15770	C0003868
+5217	C0003873	5595	0.03	CHEMBL15770	C0006444
+5218	C0003873	5595	0.03	CHEMBL15770	C0029408
+5219	C0003873	5595	0.03	CHEMBL15770	C0038013
+5220	C0003873	5595	0.03	CHEMBL15770	C0039503
+5221	C0024623	7298	0.4	CHEMBL185	C0007102
+5222	C0024623	7298	0.4	CHEMBL185	C0007129
+5223	C0024623	7298	0.4	CHEMBL185	C0007131
+5224	C0024623	7298	0.4	CHEMBL185	C0007134
+5225	C0024623	7298	0.4	CHEMBL185	C0007137
+5226	C0024623	7298	0.4	CHEMBL185	C0011991
+5227	C0024623	7298	0.4	CHEMBL185	C0022602
+5228	C0024623	7298	0.4	CHEMBL185	C0030193
+5229	C0024623	7298	0.4	CHEMBL185	C0206754
+5230	C0007134	7298	0.02	CHEMBL185	C0007102
+5231	C0007134	7298	0.02	CHEMBL185	C0007129
+5232	C0007134	7298	0.02	CHEMBL185	C0007131
+5233	C0007134	7298	0.02	CHEMBL185	C0007137
+5234	C0007134	7298	0.02	CHEMBL185	C0011991
+5235	C0007134	7298	0.02	CHEMBL185	C0022602
+5236	C0007134	7298	0.02	CHEMBL185	C0024623
+5237	C0007134	7298	0.02	CHEMBL185	C0030193
+5238	C0007134	7298	0.02	CHEMBL185	C0206754
+5239	C0024623	7298	0.4	CHEMBL1773	C0007129
+5240	C0024623	7298	0.4	CHEMBL1773	C0007131
+5241	C0024623	7298	0.4	CHEMBL1773	C0030193
+5242	C0030567	1312	0.1	CHEMBL1324	C0027819
+5243	C0030567	1312	0.1	CHEMBL1324	C0036341
+5244	C0036341	1312	0.4	CHEMBL1324	C0027819
+5245	C0036341	1312	0.4	CHEMBL1324	C0030567
+5246	C0020538	6558	0.52	CHEMBL1148	C0013604
+5247	C0020538	6558	0.52	CHEMBL1148	C0018801
+5248	C0014544	7915	0.25	CHEMBL109	C0011644
+5249	C0014544	7915	0.25	CHEMBL109	C0014553
+5250	C0014544	7915	0.25	CHEMBL109	C0025202
+5251	C0014544	7915	0.25	CHEMBL109	C0027796
+5252	C0014544	7915	0.25	CHEMBL109	C0027819
+5253	C0014544	7915	0.25	CHEMBL109	C0036341
+5254	C0014544	7915	0.25	CHEMBL109	C0497327
+5255	C0014544	9734	0.11	CHEMBL109	C0011644
+5256	C0014544	9734	0.11	CHEMBL109	C0014553
+5257	C0014544	9734	0.11	CHEMBL109	C0025202
+5258	C0014544	9734	0.11	CHEMBL109	C0027796
+5259	C0014544	9734	0.11	CHEMBL109	C0027819
+5260	C0014544	9734	0.11	CHEMBL109	C0036341
+5261	C0014544	9734	0.11	CHEMBL109	C0497327
+5262	C0027819	9734	0.04	CHEMBL109	C0011644
+5263	C0027819	9734	0.04	CHEMBL109	C0014544
+5264	C0027819	9734	0.04	CHEMBL109	C0014553
+5265	C0027819	9734	0.04	CHEMBL109	C0025202
+5266	C0027819	9734	0.04	CHEMBL109	C0027796
+5267	C0027819	9734	0.04	CHEMBL109	C0036341
+5268	C0027819	9734	0.04	CHEMBL109	C0497327
+5269	C0036341	9734	0.32	CHEMBL109	C0011644
+5270	C0036341	9734	0.32	CHEMBL109	C0014544
+5271	C0036341	9734	0.32	CHEMBL109	C0014553
+5272	C0036341	9734	0.32	CHEMBL109	C0025202
+5273	C0036341	9734	0.32	CHEMBL109	C0027796
+5274	C0036341	9734	0.32	CHEMBL109	C0027819
+5275	C0036341	9734	0.32	CHEMBL109	C0497327
+5276	C0020538	6532	0.03	CHEMBL6966	C0002962
+5277	C0020538	6532	0.03	CHEMBL6966	C0002963
+5278	C0020538	6532	0.03	CHEMBL6966	C0004238
+5279	C0020538	6532	0.03	CHEMBL6966	C0018801
+5280	C0020538	6532	0.03	CHEMBL6966	C0030590
+5281	C0020538	6532	0.03	CHEMBL6966	C0037199
+5282	C0020538	6532	0.03	CHEMBL6966	C0948089
+5283	C0020538	3767	0.21	CHEMBL6966	C0002962
+5284	C0020538	3767	0.21	CHEMBL6966	C0002963
+5285	C0020538	3767	0.21	CHEMBL6966	C0004238
+5286	C0020538	3767	0.21	CHEMBL6966	C0018801
+5287	C0020538	3767	0.21	CHEMBL6966	C0030590
+5288	C0020538	3767	0.21	CHEMBL6966	C0037199
+5289	C0020538	3767	0.21	CHEMBL6966	C0948089
+5290	C0035579	7421	0.7	CHEMBL1042	C0004096
+5291	C0035579	7421	0.7	CHEMBL1042	C0009324
+5292	C0035579	7421	0.7	CHEMBL1042	C0010346
+5293	C0035579	7421	0.7	CHEMBL1042	C0011849
+5294	C0035579	7421	0.7	CHEMBL1042	C0020598
+5295	C0035579	7421	0.7	CHEMBL1042	C0020626
+5296	C0035579	7421	0.7	CHEMBL1042	C0024141
+5297	C0035579	7421	0.7	CHEMBL1042	C0026769
+5298	C0035579	7421	0.7	CHEMBL1042	C0028754
+5299	C0035579	7421	0.7	CHEMBL1042	C0029456
+5300	C0035579	7421	0.7	CHEMBL1042	C0029458
+5301	C0035579	7421	0.7	CHEMBL1042	C0036337
+5302	C0035579	7421	0.7	CHEMBL1042	C0036341
+5303	C0035579	7421	0.7	CHEMBL1042	C0042870
+5304	C0011849	7421	0.1	CHEMBL1042	C0004096
+5305	C0011849	7421	0.1	CHEMBL1042	C0009324
+5306	C0011849	7421	0.1	CHEMBL1042	C0010346
+5307	C0011849	7421	0.1	CHEMBL1042	C0020598
+5308	C0011849	7421	0.1	CHEMBL1042	C0020626
+5309	C0011849	7421	0.1	CHEMBL1042	C0024141
+5310	C0011849	7421	0.1	CHEMBL1042	C0026769
+5311	C0011849	7421	0.1	CHEMBL1042	C0028754
+5312	C0011849	7421	0.1	CHEMBL1042	C0029456
+5313	C0011849	7421	0.1	CHEMBL1042	C0029458
+5314	C0011849	7421	0.1	CHEMBL1042	C0035579
+5315	C0011849	7421	0.1	CHEMBL1042	C0036337
+5316	C0011849	7421	0.1	CHEMBL1042	C0036341
+5317	C0011849	7421	0.1	CHEMBL1042	C0042870
+5318	C0026769	7421	0.4	CHEMBL1042	C0004096
+5319	C0026769	7421	0.4	CHEMBL1042	C0009324
+5320	C0026769	7421	0.4	CHEMBL1042	C0010346
+5321	C0026769	7421	0.4	CHEMBL1042	C0011849
+5322	C0026769	7421	0.4	CHEMBL1042	C0020598
+5323	C0026769	7421	0.4	CHEMBL1042	C0020626
+5324	C0026769	7421	0.4	CHEMBL1042	C0024141
+5325	C0026769	7421	0.4	CHEMBL1042	C0028754
+5326	C0026769	7421	0.4	CHEMBL1042	C0029456
+5327	C0026769	7421	0.4	CHEMBL1042	C0029458
+5328	C0026769	7421	0.4	CHEMBL1042	C0035579
+5329	C0026769	7421	0.4	CHEMBL1042	C0036337
+5330	C0026769	7421	0.4	CHEMBL1042	C0036341
+5331	C0026769	7421	0.4	CHEMBL1042	C0042870
+5332	C0028754	7421	0.1	CHEMBL1042	C0004096
+5333	C0028754	7421	0.1	CHEMBL1042	C0009324
+5334	C0028754	7421	0.1	CHEMBL1042	C0010346
+5335	C0028754	7421	0.1	CHEMBL1042	C0011849
+5336	C0028754	7421	0.1	CHEMBL1042	C0020598
+5337	C0028754	7421	0.1	CHEMBL1042	C0020626
+5338	C0028754	7421	0.1	CHEMBL1042	C0024141
+5339	C0028754	7421	0.1	CHEMBL1042	C0026769
+5340	C0028754	7421	0.1	CHEMBL1042	C0029456
+5341	C0028754	7421	0.1	CHEMBL1042	C0029458
+5342	C0028754	7421	0.1	CHEMBL1042	C0035579
+5343	C0028754	7421	0.1	CHEMBL1042	C0036337
+5344	C0028754	7421	0.1	CHEMBL1042	C0036341
+5345	C0028754	7421	0.1	CHEMBL1042	C0042870
+5346	C0036341	7421	0.03	CHEMBL1042	C0004096
+5347	C0036341	7421	0.03	CHEMBL1042	C0009324
+5348	C0036341	7421	0.03	CHEMBL1042	C0010346
+5349	C0036341	7421	0.03	CHEMBL1042	C0011849
+5350	C0036341	7421	0.03	CHEMBL1042	C0020598
+5351	C0036341	7421	0.03	CHEMBL1042	C0020626
+5352	C0036341	7421	0.03	CHEMBL1042	C0024141
+5353	C0036341	7421	0.03	CHEMBL1042	C0026769
+5354	C0036341	7421	0.03	CHEMBL1042	C0028754
+5355	C0036341	7421	0.03	CHEMBL1042	C0029456
+5356	C0036341	7421	0.03	CHEMBL1042	C0029458
+5357	C0036341	7421	0.03	CHEMBL1042	C0035579
+5358	C0036341	7421	0.03	CHEMBL1042	C0036337
+5359	C0036341	7421	0.03	CHEMBL1042	C0042870
+5360	C0035579	7421	0.7	CHEMBL1040	C0020598
+5361	C0035579	7421	0.7	CHEMBL1040	C0035086
+5362	C0035579	7421	0.7	CHEMBL1040	C0085682
+5363	C0035579	7421	0.7	CHEMBL1536	C0020598
+5364	C0035579	7421	0.7	CHEMBL1536	C0020626
+5365	C0035579	7421	0.7	CHEMBL1536	C0029456
+5366	C0035579	7421	0.7	CHEMBL1536	C0029458
+5367	C0035579	7421	0.7	CHEMBL1536	C0042870
+5368	C0035579	7421	0.7	CHEMBL1536	C3536984
+5369	C0035579	7421	0.7	CHEMBL2356023	C0020598
+5370	C0035579	7421	0.7	CHEMBL2356023	C0020626
+5371	C0035579	7421	0.7	CHEMBL2356023	C0039621
+5372	C0035579	7421	0.7	CHEMBL2356023	C0085682
+5373	C0035579	7421	0.7	CHEMBL846	C0020598
+5374	C0035579	7421	0.7	CHEMBL846	C0020626
+5375	C0035579	7421	0.7	CHEMBL846	C0035086
+5376	C0035579	7421	0.7	CHEMBL846	C0042870
+5377	C0035579	7421	0.7	CHEMBL846	C0085682
+5378	C0035579	7421	0.7	CHEMBL846	C1527383
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+5383	C0028754	1268	0.6	CHEMBL111	C0036337
+5384	C0028754	1268	0.6	CHEMBL111	C0036341
+5385	C0028754	1268	0.6	CHEMBL111	C0242339
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+5387	C0036341	1268	0.4	CHEMBL111	C0028754
+5388	C0036341	1268	0.4	CHEMBL111	C0036337
+5389	C0036341	1268	0.4	CHEMBL111	C0242339
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+5391	C0005586	3612	0.32	CHEMBL1200826	C0003873
+5392	C0005586	3612	0.32	CHEMBL1200826	C0011581
+5393	C0005586	3612	0.32	CHEMBL1200826	C0013390
+5394	C0005586	3612	0.32	CHEMBL1200826	C0015967
+5395	C0005586	3612	0.32	CHEMBL1200826	C0029408
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+5397	C0005586	3612	0.32	CHEMBL1200826	C0393735
+5398	C0005586	3612	0.32	CHEMBL1200826	C1269683
+5399	C0005586	3612	0.32	CHEMBL1200826	C3495559
+5400	C0028754	1136	0.02	CHEMBL894	C0011581
+5401	C0028754	1136	0.02	CHEMBL894	C0028043
+5402	C0028754	1136	0.02	CHEMBL894	C0036341
+5403	C0028754	1136	0.02	CHEMBL894	C0085159
+5404	C0028754	1136	0.02	CHEMBL894	C0497327
+5405	C0028754	1136	0.02	CHEMBL894	C1269683
+5406	C0036341	1136	0.42	CHEMBL894	C0011581
+5407	C0036341	1136	0.42	CHEMBL894	C0028043
+5408	C0036341	1136	0.42	CHEMBL894	C0028754
+5409	C0036341	1136	0.42	CHEMBL894	C0085159
+5410	C0036341	1136	0.42	CHEMBL894	C0497327
+5411	C0036341	1136	0.42	CHEMBL894	C1269683
+5412	C0028754	1136	0.02	CHEMBL1396	C0001973
+5413	C0028754	1136	0.02	CHEMBL1396	C0028043
+5414	C0028754	1136	0.02	CHEMBL1396	C0036341
+5415	C0036341	1136	0.42	CHEMBL1396	C0001973
+5416	C0036341	1136	0.42	CHEMBL1396	C0028043
+5417	C0036341	1136	0.42	CHEMBL1396	C0028754
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+5428	C0020538	4541	0.1	CHEMBL723	C0020542
+5429	C0020538	4541	0.1	CHEMBL723	C2973725
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+5431	C0020538	7422	0.1	CHEMBL723	C0020542
+5432	C0020538	7422	0.1	CHEMBL723	C2973725
+5433	C0020538	6401	0.04	CHEMBL723	C0014544
+5434	C0020538	6401	0.04	CHEMBL723	C0020542
+5435	C0020538	6401	0.04	CHEMBL723	C2973725
+5436	C0020538	7412	0.51	CHEMBL723	C0014544
+5437	C0020538	7412	0.51	CHEMBL723	C0020542
+5438	C0020538	7412	0.51	CHEMBL723	C2973725
+5439	C0020538	150	0.52	CHEMBL723	C0014544
+5440	C0020538	150	0.52	CHEMBL723	C0020542
+5441	C0020538	150	0.52	CHEMBL723	C2973725
+5442	C0020538	150	0.52	CHEMBL27810	C0002962
+5443	C0020538	150	0.52	CHEMBL134	C0017612
+5444	C0020538	150	0.52	CHEMBL134	C0026769
+5445	C0020538	150	0.52	CHEMBL134	C0026838
+5446	C0020538	150	0.52	CHEMBL134	C0030193
+5447	C0020538	150	0.52	CHEMBL134	C1263846
+5448	C0020538	150	0.52	CHEMBL862	C1263846
+5449	C0020538	150	0.52	CHEMBL420	C0026769
+5450	C0020538	150	0.52	CHEMBL2	C0028043
+5451	C0020538	151	0.26	CHEMBL723	C0014544
+5452	C0020538	151	0.26	CHEMBL723	C0020542
+5453	C0020538	151	0.26	CHEMBL723	C2973725
+5454	C0020538	151	0.26	CHEMBL27810	C0002962
+5455	C0020538	151	0.26	CHEMBL134	C0017612
+5456	C0020538	151	0.26	CHEMBL134	C0026769
+5457	C0020538	151	0.26	CHEMBL134	C0026838
+5458	C0020538	151	0.26	CHEMBL134	C0030193
+5459	C0020538	151	0.26	CHEMBL134	C1263846
+5460	C0020538	151	0.26	CHEMBL862	C1263846
+5461	C0020538	151	0.26	CHEMBL420	C0026769
+5462	C0020538	151	0.26	CHEMBL2	C0028043
+5463	C0020538	152	0.02	CHEMBL723	C0014544
+5464	C0020538	152	0.02	CHEMBL723	C0020542
+5465	C0020538	152	0.02	CHEMBL723	C2973725
+5466	C0020538	152	0.02	CHEMBL27810	C0002962
+5467	C0020538	152	0.02	CHEMBL134	C0017612
+5468	C0020538	152	0.02	CHEMBL134	C0026769
+5469	C0020538	152	0.02	CHEMBL134	C0026838
+5470	C0020538	152	0.02	CHEMBL134	C0030193
+5471	C0020538	152	0.02	CHEMBL134	C1263846
+5472	C0036341	3757	0.34	CHEMBL71	C0012734
+5473	C0036341	3757	0.34	CHEMBL71	C0033975
+5474	C0036341	3757	0.34	CHEMBL71	C0162565
+5475	C0036341	3757	0.34	CHEMBL41	C0005586
+5476	C0036341	3757	0.34	CHEMBL41	C0005587
+5477	C0036341	3757	0.34	CHEMBL41	C0011581
+5478	C0036341	3757	0.34	CHEMBL41	C0028768
+5479	C0036341	3757	0.34	CHEMBL41	C0030319
+5480	C0036341	3757	0.34	CHEMBL41	C0497327
+5481	C0036341	3757	0.34	CHEMBL41	C1269683
+5482	C0036341	3757	0.34	CHEMBL41	C2267227
+5483	C0036341	3757	0.34	CHEMBL16	C0014544
+5484	C0036341	3757	0.34	CHEMBL16	C0014547
+5485	C0036341	3757	0.34	CHEMBL16	C0014549
+5486	C0036341	3757	0.34	CHEMBL16	C0027819
+5487	C0036341	3757	0.34	CHEMBL16	C0038220
+5488	C0036341	3757	0.34	CHEMBL16	C0234974
+5489	C0036341	3757	0.34	CHEMBL16	C0494475
+5490	C0036341	3757	0.34	CHEMBL16	C0497327
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+5506	C0014544	3757	0.03	CHEMBL16	C0497327
+5507	C0036341	3757	0.34	CHEMBL896	C0009766
+5508	C0036341	3757	0.34	CHEMBL896	C0011615
+5509	C0036341	3757	0.34	CHEMBL896	C0033774
+5510	C0036341	3757	0.34	CHEMBL896	C0042109
+5511	C0036341	3757	0.34	CHEMBL896	C0497327
+5512	C0036341	3757	0.34	CHEMBL896	C2607914
+5513	C0036341	3757	0.34	CHEMBL11	C0011581
+5514	C0036341	3757	0.34	CHEMBL11	C0270327
+5515	C0036341	3757	0.34	CHEMBL11	C0497327
+5516	C0036341	3757	0.34	CHEMBL1628227	C0005587
+5517	C0036341	3757	0.34	CHEMBL1628227	C0011581
+5518	C0036341	3757	0.34	CHEMBL1628227	C0011615
+5519	C0036341	3757	0.34	CHEMBL1628227	C0033774
+5520	C0036341	3757	0.34	CHEMBL1628227	C0149922
+5521	C0036341	3757	0.34	CHEMBL1628227	C0497327
+5522	C0036341	3757	0.34	CHEMBL1628227	C0917801
+5523	C0036341	3757	0.34	CHEMBL1423	C0040517
+5524	C0036341	3757	0.34	CHEMBL1423	C0497327
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+5526	C0003873	7157	0.1	CHEMBL25	C0003862
+5527	C0003873	7157	0.1	CHEMBL25	C0004153
+5528	C0003873	7157	0.1	CHEMBL25	C0004604
+5529	C0003873	7157	0.1	CHEMBL25	C0009443
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+5532	C0003873	7157	0.1	CHEMBL25	C0027051
+5533	C0003873	7157	0.1	CHEMBL25	C0029408
+5534	C0003873	7157	0.1	CHEMBL25	C0030193
+5535	C0003873	7157	0.1	CHEMBL25	C0032463
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+5537	C0003873	7157	0.1	CHEMBL25	C0149931
+5538	C0003873	7157	0.1	CHEMBL25	C0393735
+5539	C0003873	7157	0.1	CHEMBL25	C0948089
+5540	C0004153	7157	0.1	CHEMBL25	C0003862
+5541	C0004153	7157	0.1	CHEMBL25	C0003873
+5542	C0004153	7157	0.1	CHEMBL25	C0004604
+5543	C0004153	7157	0.1	CHEMBL25	C0009443
+5544	C0004153	7157	0.1	CHEMBL25	C0026764
+5545	C0004153	7157	0.1	CHEMBL25	C0026769
+5546	C0004153	7157	0.1	CHEMBL25	C0027051
+5547	C0004153	7157	0.1	CHEMBL25	C0029408
+5548	C0004153	7157	0.1	CHEMBL25	C0030193
+5549	C0004153	7157	0.1	CHEMBL25	C0032463
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+5551	C0004153	7157	0.1	CHEMBL25	C0149931
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+5553	C0004153	7157	0.1	CHEMBL25	C0948089
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+5570	C0003873	595	0.02	CHEMBL25	C0004604
+5571	C0003873	595	0.02	CHEMBL25	C0009443
+5572	C0003873	595	0.02	CHEMBL25	C0026764
+5573	C0003873	595	0.02	CHEMBL25	C0026769
+5574	C0003873	595	0.02	CHEMBL25	C0027051
+5575	C0003873	595	0.02	CHEMBL25	C0029408
+5576	C0003873	595	0.02	CHEMBL25	C0030193
+5577	C0003873	595	0.02	CHEMBL25	C0032463
+5578	C0003873	595	0.02	CHEMBL25	C0040460
+5579	C0003873	595	0.02	CHEMBL25	C0149931
+5580	C0003873	595	0.02	CHEMBL25	C0393735
+5581	C0003873	595	0.02	CHEMBL25	C0948089
+5582	C0026769	595	0.02	CHEMBL25	C0003862
+5583	C0026769	595	0.02	CHEMBL25	C0003873
+5584	C0026769	595	0.02	CHEMBL25	C0004153
+5585	C0026769	595	0.02	CHEMBL25	C0004604
+5586	C0026769	595	0.02	CHEMBL25	C0009443
+5587	C0026769	595	0.02	CHEMBL25	C0026764
+5588	C0026769	595	0.02	CHEMBL25	C0027051
+5589	C0026769	595	0.02	CHEMBL25	C0029408
+5590	C0026769	595	0.02	CHEMBL25	C0030193
+5591	C0026769	595	0.02	CHEMBL25	C0032463
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+5593	C0026769	595	0.02	CHEMBL25	C0149931
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+5595	C0026769	595	0.02	CHEMBL25	C0948089
+5596	C0003873	836	0.05	CHEMBL25	C0003862
+5597	C0003873	836	0.05	CHEMBL25	C0004153
+5598	C0003873	836	0.05	CHEMBL25	C0004604
+5599	C0003873	836	0.05	CHEMBL25	C0009443
+5600	C0003873	836	0.05	CHEMBL25	C0026764
+5601	C0003873	836	0.05	CHEMBL25	C0026769
+5602	C0003873	836	0.05	CHEMBL25	C0027051
+5603	C0003873	836	0.05	CHEMBL25	C0029408
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+5605	C0003873	836	0.05	CHEMBL25	C0032463
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+5607	C0003873	836	0.05	CHEMBL25	C0149931
+5608	C0003873	836	0.05	CHEMBL25	C0393735
+5609	C0003873	836	0.05	CHEMBL25	C0948089
+5610	C0004153	836	0.03	CHEMBL25	C0003862
+5611	C0004153	836	0.03	CHEMBL25	C0003873
+5612	C0004153	836	0.03	CHEMBL25	C0004604
+5613	C0004153	836	0.03	CHEMBL25	C0009443
+5614	C0004153	836	0.03	CHEMBL25	C0026764
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+5616	C0004153	836	0.03	CHEMBL25	C0027051
+5617	C0004153	836	0.03	CHEMBL25	C0029408
+5618	C0004153	836	0.03	CHEMBL25	C0030193
+5619	C0004153	836	0.03	CHEMBL25	C0032463
+5620	C0004153	836	0.03	CHEMBL25	C0040460
+5621	C0004153	836	0.03	CHEMBL25	C0149931
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+5623	C0004153	836	0.03	CHEMBL25	C0948089
+5624	C0003873	4792	0.02	CHEMBL25	C0003862
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+5626	C0003873	4792	0.02	CHEMBL25	C0004604
+5627	C0003873	4792	0.02	CHEMBL25	C0009443
+5628	C0003873	4792	0.02	CHEMBL25	C0026764
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+5630	C0003873	4792	0.02	CHEMBL25	C0027051
+5631	C0003873	4792	0.02	CHEMBL25	C0029408
+5632	C0003873	4792	0.02	CHEMBL25	C0030193
+5633	C0003873	4792	0.02	CHEMBL25	C0032463
+5634	C0003873	4792	0.02	CHEMBL25	C0040460
+5635	C0003873	4792	0.02	CHEMBL25	C0149931
+5636	C0003873	4792	0.02	CHEMBL25	C0393735
+5637	C0003873	4792	0.02	CHEMBL25	C0948089
+5638	C0003873	5111	0.03	CHEMBL25	C0003862
+5639	C0003873	5111	0.03	CHEMBL25	C0004153
+5640	C0003873	5111	0.03	CHEMBL25	C0004604
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+5647	C0003873	5111	0.03	CHEMBL25	C0032463
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+5654	C0003873	1909	0.03	CHEMBL25	C0004604
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+5658	C0003873	1909	0.03	CHEMBL25	C0027051
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+5666	C0004153	1909	0.03	CHEMBL25	C0003862
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+5734	C0021390	4843	0.2	CHEMBL384467	C0003872
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+6315	C0010674	4843	0.1	CHEMBL1434	C0039128
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+6317	C0024623	8856	0.02	CHEMBL92	C0007131
+6318	C0024623	8856	0.02	CHEMBL92	C0007137
+6319	C0024623	8856	0.02	CHEMBL92	C0011991
+6320	C0024623	8856	0.02	CHEMBL92	C0023269
+6321	C0024623	8856	0.02	CHEMBL92	C0030193
+6322	C0024623	8856	0.02	CHEMBL92	C0278996
+6323	C0024623	8856	0.02	CHEMBL92	C0376358
+6324	C0024623	8856	0.02	CHEMBL92	C0678222
+6325	C0376358	8856	0.08	CHEMBL92	C0007131
+6326	C0376358	8856	0.08	CHEMBL92	C0007137
+6327	C0376358	8856	0.08	CHEMBL92	C0011991
+6328	C0376358	8856	0.08	CHEMBL92	C0023269
+6329	C0376358	8856	0.08	CHEMBL92	C0024623
+6330	C0376358	8856	0.08	CHEMBL92	C0030193
+6331	C0376358	8856	0.08	CHEMBL92	C0278996
+6332	C0376358	8856	0.08	CHEMBL92	C0678222
+6333	C0027819	7153	0.3	CHEMBL53463	C0006413
+6334	C0027819	7153	0.3	CHEMBL53463	C0019829
+6335	C0027819	7153	0.3	CHEMBL53463	C0023269
+6336	C0027819	7153	0.3	CHEMBL53463	C0023467
+6337	C0027819	7153	0.3	CHEMBL53463	C0024301
+6338	C0027819	7153	0.3	CHEMBL53463	C0024305
+6339	C0027819	7153	0.3	CHEMBL53463	C0024419
+6340	C0027819	7153	0.3	CHEMBL53463	C0026764
+6341	C0027819	7153	0.3	CHEMBL53463	C0027708
+6342	C0027819	7153	0.3	CHEMBL53463	C0035412
+6343	C0027819	7153	0.3	CHEMBL53463	C0036220
+6344	C0027819	7153	0.3	CHEMBL53463	C0079744
+6345	C0027819	7153	0.3	CHEMBL53463	C0079774
+6346	C0027819	7153	0.3	CHEMBL53463	C0149925
+6347	C0027819	7153	0.3	CHEMBL53463	C0242379
+6348	C0027819	7153	0.3	CHEMBL53463	C0553580
+6349	C0027819	7153	0.3	CHEMBL53463	C0678222
+6350	C0027819	7153	0.3	CHEMBL53463	C1140680
+6351	C1140680	7153	0.02	CHEMBL53463	C0006413
+6352	C1140680	7153	0.02	CHEMBL53463	C0019829
+6353	C1140680	7153	0.02	CHEMBL53463	C0023269
+6354	C1140680	7153	0.02	CHEMBL53463	C0023467
+6355	C1140680	7153	0.02	CHEMBL53463	C0024301
+6356	C1140680	7153	0.02	CHEMBL53463	C0024305
+6357	C1140680	7153	0.02	CHEMBL53463	C0024419
+6358	C1140680	7153	0.02	CHEMBL53463	C0026764
+6359	C1140680	7153	0.02	CHEMBL53463	C0027708
+6360	C1140680	7153	0.02	CHEMBL53463	C0027819
+6361	C1140680	7153	0.02	CHEMBL53463	C0035412
+6362	C1140680	7153	0.02	CHEMBL53463	C0036220
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+6364	C1140680	7153	0.02	CHEMBL53463	C0079774
+6365	C1140680	7153	0.02	CHEMBL53463	C0149925
+6366	C1140680	7153	0.02	CHEMBL53463	C0242379
+6367	C1140680	7153	0.02	CHEMBL53463	C0553580
+6368	C1140680	7153	0.02	CHEMBL53463	C0678222
+6369	C0027819	7153	0.3	CHEMBL44657	C0002874
+6370	C0027819	7153	0.3	CHEMBL44657	C0006413
+6371	C0027819	7153	0.3	CHEMBL44657	C0007131
+6372	C0027819	7153	0.3	CHEMBL44657	C0024305
+6373	C0027819	7153	0.3	CHEMBL44657	C0026764
+6374	C0027819	7153	0.3	CHEMBL44657	C0035335
+6375	C0027819	7153	0.3	CHEMBL44657	C0035412
+6376	C0027819	7153	0.3	CHEMBL44657	C0079774
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+6378	C0027819	7153	0.3	CHEMBL44657	C0153594
+6379	C0027819	7153	0.3	CHEMBL44657	C0334634
+6380	C0027819	7153	0.3	CHEMBL44657	C0553580
+6381	C0027819	7153	0.3	CHEMBL32	C0002395
+6382	C0027819	7153	0.3	CHEMBL32	C0004096
+6383	C0027819	7153	0.3	CHEMBL32	C0004626
+6384	C0027819	7153	0.3	CHEMBL32	C0014347
+6385	C0027819	7153	0.3	CHEMBL32	C0029443
+6386	C0027819	7153	0.3	CHEMBL32	C0031154
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+6389	C0027819	7153	0.3	CHEMBL32	C0155862
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+6399	C0011849	1803	0.1	CHEMBL1487	C0004238
+6400	C0011849	1803	0.1	CHEMBL1487	C0020443
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+6431	C0011849	3156	0.06	CHEMBL1064	C0010674
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+6618	C0027819	142	0.06	CHEMBL1140	C0004153
+6619	C0027819	142	0.06	CHEMBL1140	C0020473
+6620	C0027819	142	0.06	CHEMBL1140	C0027051
+6621	C0027819	142	0.06	CHEMBL1140	C0028754
+6622	C0027819	142	0.06	CHEMBL1140	C0030783
+6623	C0027819	142	0.06	CHEMBL1140	C0035412
+6624	C0027819	142	0.06	CHEMBL1140	C0038454
+6625	C0027819	142	0.06	CHEMBL1140	C0242339
+6626	C0028754	4837	0.03	CHEMBL573	C0004153
+6627	C0028754	4837	0.03	CHEMBL573	C0020443
+6628	C0028754	4837	0.03	CHEMBL573	C0020473
+6629	C0028754	4837	0.03	CHEMBL573	C0020474
+6630	C0028754	4837	0.03	CHEMBL573	C0020557
+6631	C0028754	4837	0.03	CHEMBL573	C0027051
+6632	C0028754	4837	0.03	CHEMBL573	C0038454
+6633	C0028754	4837	0.03	CHEMBL573	C0242339
+6634	C0007134	1786	0.03	CHEMBL1489	C0007131
+6635	C0007134	1786	0.03	CHEMBL1489	C0007137
+6636	C0007134	1786	0.03	CHEMBL1489	C0023467
+6637	C0007134	1786	0.03	CHEMBL1489	C0023480
+6638	C0007134	1786	0.03	CHEMBL1489	C0026764
+6639	C0007134	1786	0.03	CHEMBL1489	C0030193
+6640	C0007134	1786	0.03	CHEMBL1201129	C0023467
+6641	C0007134	1786	0.03	CHEMBL1201129	C0023480
+6642	C0036341	2902	0.1	CHEMBL807	C0002395
+6643	C0036341	2902	0.1	CHEMBL807	C0026769
+6644	C0036341	2902	0.1	CHEMBL807	C0036337
+6645	C0036341	2902	0.1	CHEMBL807	C0497327
+6646	C0002395	2902	0.02	CHEMBL807	C0026769
+6647	C0002395	2902	0.02	CHEMBL807	C0036337
+6648	C0002395	2902	0.02	CHEMBL807	C0036341
+6649	C0002395	2902	0.02	CHEMBL807	C0497327
+6650	C0007134	7298	0.02	CHEMBL225072	C0007131
+6651	C0036341	3553	0.4	CHEMBL502	C0002395
+6652	C0036341	3553	0.4	CHEMBL502	C0026769
+6653	C0036341	3553	0.4	CHEMBL502	C0030567
+6654	C0036341	3553	0.4	CHEMBL502	C0497327
+6655	C0030567	3553	0.28	CHEMBL502	C0002395
+6656	C0030567	3553	0.28	CHEMBL502	C0026769
+6657	C0030567	3553	0.28	CHEMBL502	C0036341
+6658	C0030567	3553	0.28	CHEMBL502	C0497327
+6659	C0026769	3553	0.4	CHEMBL502	C0002395
+6660	C0026769	3553	0.4	CHEMBL502	C0030567
+6661	C0026769	3553	0.4	CHEMBL502	C0036341
+6662	C0026769	3553	0.4	CHEMBL502	C0497327
+6663	C0002395	3553	0.6	CHEMBL502	C0026769
+6664	C0002395	3553	0.6	CHEMBL502	C0030567
+6665	C0002395	3553	0.6	CHEMBL502	C0036341
+6666	C0002395	3553	0.6	CHEMBL502	C0497327
+6667	C0036341	4790	0.1	CHEMBL502	C0002395
+6668	C0036341	4790	0.1	CHEMBL502	C0026769
+6669	C0036341	4790	0.1	CHEMBL502	C0030567
+6670	C0036341	4790	0.1	CHEMBL502	C0497327
+6671	C0030567	4790	0.03	CHEMBL502	C0002395
+6672	C0030567	4790	0.03	CHEMBL502	C0026769
+6673	C0030567	4790	0.03	CHEMBL502	C0036341
+6674	C0030567	4790	0.03	CHEMBL502	C0497327
+6675	C0026769	4790	0.03	CHEMBL502	C0002395
+6676	C0026769	4790	0.03	CHEMBL502	C0030567
+6677	C0026769	4790	0.03	CHEMBL502	C0036341
+6678	C0026769	4790	0.03	CHEMBL502	C0497327
+6679	C0002395	4790	0.09	CHEMBL502	C0026769
+6680	C0002395	4790	0.09	CHEMBL502	C0030567
+6681	C0002395	4790	0.09	CHEMBL502	C0036341
+6682	C0002395	4790	0.09	CHEMBL502	C0497327
+6683	C0036341	4842	0.5	CHEMBL502	C0002395
+6684	C0036341	4842	0.5	CHEMBL502	C0026769
+6685	C0036341	4842	0.5	CHEMBL502	C0030567
+6686	C0036341	4842	0.5	CHEMBL502	C0497327
+6687	C0030567	4842	0.38	CHEMBL502	C0002395
+6688	C0030567	4842	0.38	CHEMBL502	C0026769
+6689	C0030567	4842	0.38	CHEMBL502	C0036341
+6690	C0030567	4842	0.38	CHEMBL502	C0497327
+6691	C0002395	4842	0.06	CHEMBL502	C0026769
+6692	C0002395	4842	0.06	CHEMBL502	C0030567
+6693	C0002395	4842	0.06	CHEMBL502	C0036341
+6694	C0002395	4842	0.06	CHEMBL502	C0497327
+6695	C0036341	43	0.3	CHEMBL502	C0002395
+6696	C0036341	43	0.3	CHEMBL502	C0026769
+6697	C0036341	43	0.3	CHEMBL502	C0030567
+6698	C0036341	43	0.3	CHEMBL502	C0497327
+6699	C0030567	43	0.03	CHEMBL502	C0002395
+6700	C0030567	43	0.03	CHEMBL502	C0026769
+6701	C0030567	43	0.03	CHEMBL502	C0036341
+6702	C0030567	43	0.03	CHEMBL502	C0497327
+6703	C0002395	43	0.4	CHEMBL502	C0026769
+6704	C0002395	43	0.4	CHEMBL502	C0030567
+6705	C0002395	43	0.4	CHEMBL502	C0036341
+6706	C0002395	43	0.4	CHEMBL502	C0497327
+6707	C0036341	43	0.3	CHEMBL659	C0002395
+6708	C0036341	43	0.3	CHEMBL659	C0036337
+6709	C0036341	43	0.3	CHEMBL659	C0038436
+6710	C0036341	43	0.3	CHEMBL659	C0497327
+6711	C0002395	43	0.4	CHEMBL659	C0036337
+6712	C0002395	43	0.4	CHEMBL659	C0036341
+6713	C0002395	43	0.4	CHEMBL659	C0038436
+6714	C0002395	43	0.4	CHEMBL659	C0497327
+6715	C0036341	43	0.3	CHEMBL636	C0002395
+6716	C0036341	43	0.3	CHEMBL636	C0497327
+6717	C0002395	43	0.4	CHEMBL636	C0036341
+6718	C0002395	43	0.4	CHEMBL636	C0497327
+6719	C0030567	590	0.02	CHEMBL502	C0002395
+6720	C0030567	590	0.02	CHEMBL502	C0026769
+6721	C0030567	590	0.02	CHEMBL502	C0036341
+6722	C0030567	590	0.02	CHEMBL502	C0497327
+6723	C0026769	590	0.3	CHEMBL502	C0002395
+6724	C0026769	590	0.3	CHEMBL502	C0030567
+6725	C0026769	590	0.3	CHEMBL502	C0036341
+6726	C0026769	590	0.3	CHEMBL502	C0497327
+6727	C0002395	590	0.4	CHEMBL502	C0026769
+6728	C0002395	590	0.4	CHEMBL502	C0030567
+6729	C0002395	590	0.4	CHEMBL502	C0036341
+6730	C0002395	590	0.4	CHEMBL502	C0497327
+6731	C0025202	3066	0.3	CHEMBL109	C0011644
+6732	C0025202	3066	0.3	CHEMBL109	C0014544
+6733	C0025202	3066	0.3	CHEMBL109	C0014553
+6734	C0025202	3066	0.3	CHEMBL109	C0027796
+6735	C0025202	3066	0.3	CHEMBL109	C0027819
+6736	C0025202	3066	0.3	CHEMBL109	C0036341
+6737	C0025202	3066	0.3	CHEMBL109	C0497327
+6738	C0027819	3066	0.04	CHEMBL109	C0011644
+6739	C0027819	3066	0.04	CHEMBL109	C0014544
+6740	C0027819	3066	0.04	CHEMBL109	C0014553
+6741	C0027819	3066	0.04	CHEMBL109	C0025202
+6742	C0027819	3066	0.04	CHEMBL109	C0027796
+6743	C0027819	3066	0.04	CHEMBL109	C0036341
+6744	C0027819	3066	0.04	CHEMBL109	C0497327
+6745	C0036341	3066	0.33	CHEMBL109	C0011644
+6746	C0036341	3066	0.33	CHEMBL109	C0014544
+6747	C0036341	3066	0.33	CHEMBL109	C0014553
+6748	C0036341	3066	0.33	CHEMBL109	C0025202
+6749	C0036341	3066	0.33	CHEMBL109	C0027796
+6750	C0036341	3066	0.33	CHEMBL109	C0027819
+6751	C0036341	3066	0.33	CHEMBL109	C0497327
+6752	C0025202	3066	0.3	CHEMBL503	C0003850
+6753	C0025202	3066	0.3	CHEMBL503	C0003873
+6754	C0025202	3066	0.3	CHEMBL503	C0020443
+6755	C0025202	3066	0.3	CHEMBL503	C0020473
+6756	C0025202	3066	0.3	CHEMBL503	C0020474
+6757	C0025202	3066	0.3	CHEMBL503	C0020557
+6758	C0025202	3066	0.3	CHEMBL503	C0473527
+6759	C0036341	3066	0.33	CHEMBL98	C0007131
+6760	C0036341	3066	0.33	CHEMBL98	C0023269
+6761	C0036341	3066	0.33	CHEMBL98	C0026764
+6762	C0036341	3066	0.33	CHEMBL98	C0079773
+6763	C0036341	3066	0.33	CHEMBL98	C0079774
+6764	C0036341	3066	0.33	CHEMBL98	C0334634
+6765	C0036341	3066	0.33	CHEMBL98	C1621958
+6766	C0036341	1268	0.4	CHEMBL465	C0026769
+6767	C0036341	1268	0.4	CHEMBL465	C0026838
+6768	C0036341	1268	0.4	CHEMBL465	C0027497
+6769	C0036341	1268	0.4	CHEMBL465	C0042963
+6770	C0036341	1268	0.4	CHEMBL465	C0150055
+6771	C0028754	761	0.3	CHEMBL220492	C0001973
+6772	C0028754	761	0.3	CHEMBL220492	C0014544
+6773	C0028754	761	0.3	CHEMBL220492	C0014549
+6774	C0028754	761	0.3	CHEMBL220492	C0020473
+6775	C0028754	761	0.3	CHEMBL220492	C0020557
+6776	C0028754	761	0.3	CHEMBL220492	C0030567
+6777	C0028754	761	0.3	CHEMBL220492	C0032897
+6778	C0028754	761	0.3	CHEMBL220492	C0036341
+6779	C0028754	761	0.3	CHEMBL220492	C0149931
+6780	C0028754	761	0.3	CHEMBL220492	C0234974
+6781	C0028754	761	0.3	CHEMBL220492	C0497327
+6782	C0028754	762	0.1	CHEMBL220492	C0001973
+6783	C0028754	762	0.1	CHEMBL220492	C0014544
+6784	C0028754	762	0.1	CHEMBL220492	C0014549
+6785	C0028754	762	0.1	CHEMBL220492	C0020473
+6786	C0028754	762	0.1	CHEMBL220492	C0020557
+6787	C0028754	762	0.1	CHEMBL220492	C0030567
+6788	C0028754	762	0.1	CHEMBL220492	C0032897
+6789	C0028754	762	0.1	CHEMBL220492	C0036341
+6790	C0028754	762	0.1	CHEMBL220492	C0149931
+6791	C0028754	762	0.1	CHEMBL220492	C0234974
+6792	C0028754	762	0.1	CHEMBL220492	C0497327
+6793	C0036341	2554	0.34	CHEMBL911	C0030567
+6794	C0036341	2554	0.34	CHEMBL911	C0497327
+6795	C0036341	2554	0.34	CHEMBL911	C0917801
+6796	C0036341	2900	0.34	CHEMBL220492	C0001973
+6797	C0036341	2900	0.34	CHEMBL220492	C0014544
+6798	C0036341	2900	0.34	CHEMBL220492	C0014549
+6799	C0036341	2900	0.34	CHEMBL220492	C0020473
+6800	C0036341	2900	0.34	CHEMBL220492	C0020557
+6801	C0036341	2900	0.34	CHEMBL220492	C0028754
+6802	C0036341	2900	0.34	CHEMBL220492	C0030567
+6803	C0036341	2900	0.34	CHEMBL220492	C0032897
+6804	C0036341	2900	0.34	CHEMBL220492	C0149931
+6805	C0036341	2900	0.34	CHEMBL220492	C0234974
+6806	C0036341	2900	0.34	CHEMBL220492	C0497327
+6807	C0036341	2901	0.31	CHEMBL220492	C0001973
+6808	C0036341	2901	0.31	CHEMBL220492	C0014544
+6809	C0036341	2901	0.31	CHEMBL220492	C0014549
+6810	C0036341	2901	0.31	CHEMBL220492	C0020473
+6811	C0036341	2901	0.31	CHEMBL220492	C0020557
+6812	C0036341	2901	0.31	CHEMBL220492	C0028754
+6813	C0036341	2901	0.31	CHEMBL220492	C0030567
+6814	C0036341	2901	0.31	CHEMBL220492	C0032897
+6815	C0036341	2901	0.31	CHEMBL220492	C0149931
+6816	C0036341	2901	0.31	CHEMBL220492	C0234974
+6817	C0036341	2901	0.31	CHEMBL220492	C0497327
+6818	C0036341	10280	0.35	CHEMBL809	C0001973
+6819	C0036341	10280	0.35	CHEMBL809	C0009186
+6820	C0036341	10280	0.35	CHEMBL809	C0010414
+6821	C0036341	10280	0.35	CHEMBL809	C0011581
+6822	C0036341	10280	0.35	CHEMBL809	C0028768
+6823	C0036341	10280	0.35	CHEMBL809	C0030319
+6824	C0036341	10280	0.35	CHEMBL809	C0038436
+6825	C0036341	10280	0.35	CHEMBL809	C0497327
+6826	C0036341	10280	0.35	CHEMBL809	C0917801
+6827	C0036341	10280	0.35	CHEMBL809	C1269683
+6828	C0036341	10280	0.35	CHEMBL629	C0011581
+6829	C0036341	10280	0.35	CHEMBL629	C0030193
+6830	C0036341	10280	0.35	CHEMBL629	C0149931
+6831	C0036341	10280	0.35	CHEMBL629	C0497327
+6832	C0036341	10280	0.35	CHEMBL629	C0917801
+6833	C0036341	10280	0.35	CHEMBL445	C0011581
+6834	C0036341	10280	0.35	CHEMBL445	C0497327
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+6836	C0005586	154	0.31	CHEMBL1112	C0036337
+6837	C0005586	154	0.31	CHEMBL1112	C0036341
+6838	C0005586	154	0.31	CHEMBL1112	C0497327
+6839	C0005586	154	0.31	CHEMBL1112	C1263846
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+6842	C0014544	9900	0.02	CHEMBL1286	C0036341
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+6845	C0014544	9900	0.02	CHEMBL1286	C0497327
+6846	C0036341	9900	0.31	CHEMBL1286	C0001973
+6847	C0036341	9900	0.31	CHEMBL1286	C0014544
+6848	C0036341	9900	0.31	CHEMBL1286	C0028768
+6849	C0036341	9900	0.31	CHEMBL1286	C0038220
+6850	C0036341	9900	0.31	CHEMBL1286	C0234974
+6851	C0036341	9900	0.31	CHEMBL1286	C0497327
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+6853	C0036341	774	0.42	CHEMBL1286	C0014544
+6854	C0036341	774	0.42	CHEMBL1286	C0028768
+6855	C0036341	774	0.42	CHEMBL1286	C0038220
+6856	C0036341	774	0.42	CHEMBL1286	C0234974
+6857	C0036341	774	0.42	CHEMBL1286	C0497327
+6858	C0036341	774	0.42	CHEMBL940	C0030193
+6859	C0036341	774	0.42	CHEMBL940	C0032768
+6860	C0036341	774	0.42	CHEMBL940	C0035258
+6861	C0036341	774	0.42	CHEMBL940	C0150055
+6862	C0036341	774	0.42	CHEMBL940	C0497327
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+6864	C0003873	3683	0.03	CHEMBL503	C0020443
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+6873	C0027819	1956	0.09	CHEMBL553	C0032463
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+6880	C0007134	1956	0.1	CHEMBL553	C0027819
+6881	C0007134	1956	0.1	CHEMBL553	C0032463
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+6883	C0007134	1956	0.1	CHEMBL553	C0035412
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+6930	C0010674	7422	0.03	CHEMBL1434	C0006309
+6931	C0010674	7422	0.03	CHEMBL1434	C0011581
+6932	C0010674	7422	0.03	CHEMBL1434	C0018081
+6933	C0010674	7422	0.03	CHEMBL1434	C0023860
+6934	C0010674	7422	0.03	CHEMBL1434	C0026769
+6935	C0010674	7422	0.03	CHEMBL1434	C0031099
+6936	C0010674	7422	0.03	CHEMBL1434	C0031350
+6937	C0010674	7422	0.03	CHEMBL1434	C0032064
+6938	C0010674	7422	0.03	CHEMBL1434	C0032285
+6939	C0010674	7422	0.03	CHEMBL1434	C0034362
+6940	C0010674	7422	0.03	CHEMBL1434	C0035854
+6941	C0010674	7422	0.03	CHEMBL1434	C0037199
+6942	C0010674	7422	0.03	CHEMBL1434	C0039128
+6943	C0010674	7422	0.03	CHEMBL1434	C0042029
+6944	C0026769	3553	0.4	CHEMBL1434	C0001144
+6945	C0026769	3553	0.4	CHEMBL1434	C0001261
+6946	C0026769	3553	0.4	CHEMBL1434	C0003175
+6947	C0026769	3553	0.4	CHEMBL1434	C0006277
+6948	C0026769	3553	0.4	CHEMBL1434	C0006309
+6949	C0026769	3553	0.4	CHEMBL1434	C0010674
+6950	C0026769	3553	0.4	CHEMBL1434	C0011581
+6951	C0026769	3553	0.4	CHEMBL1434	C0018081
+6952	C0026769	3553	0.4	CHEMBL1434	C0023860
+6953	C0026769	3553	0.4	CHEMBL1434	C0031099
+6954	C0026769	3553	0.4	CHEMBL1434	C0031350
+6955	C0026769	3553	0.4	CHEMBL1434	C0032064
+6956	C0026769	3553	0.4	CHEMBL1434	C0032285
+6957	C0026769	3553	0.4	CHEMBL1434	C0034362
+6958	C0026769	3553	0.4	CHEMBL1434	C0035854
+6959	C0026769	3553	0.4	CHEMBL1434	C0037199
+6960	C0026769	3553	0.4	CHEMBL1434	C0039128
+6961	C0026769	3553	0.4	CHEMBL1434	C0042029
+6962	C0010674	3553	0.1	CHEMBL1434	C0001144
+6963	C0010674	3553	0.1	CHEMBL1434	C0001261
+6964	C0010674	3553	0.1	CHEMBL1434	C0003175
+6965	C0010674	3553	0.1	CHEMBL1434	C0006277
+6966	C0010674	3553	0.1	CHEMBL1434	C0006309
+6967	C0010674	3553	0.1	CHEMBL1434	C0011581
+6968	C0010674	3553	0.1	CHEMBL1434	C0018081
+6969	C0010674	3553	0.1	CHEMBL1434	C0023860
+6970	C0010674	3553	0.1	CHEMBL1434	C0026769
+6971	C0010674	3553	0.1	CHEMBL1434	C0031099
+6972	C0010674	3553	0.1	CHEMBL1434	C0031350
+6973	C0010674	3553	0.1	CHEMBL1434	C0032064
+6974	C0010674	3553	0.1	CHEMBL1434	C0032285
+6975	C0010674	3553	0.1	CHEMBL1434	C0034362
+6976	C0010674	3553	0.1	CHEMBL1434	C0035854
+6977	C0010674	3553	0.1	CHEMBL1434	C0037199
+6978	C0010674	3553	0.1	CHEMBL1434	C0039128
+6979	C0010674	3553	0.1	CHEMBL1434	C0042029
+6980	C0026769	4318	0.1	CHEMBL1434	C0001144
+6981	C0026769	4318	0.1	CHEMBL1434	C0001261
+6982	C0026769	4318	0.1	CHEMBL1434	C0003175
+6983	C0026769	4318	0.1	CHEMBL1434	C0006277
+6984	C0026769	4318	0.1	CHEMBL1434	C0006309
+6985	C0026769	4318	0.1	CHEMBL1434	C0010674
+6986	C0026769	4318	0.1	CHEMBL1434	C0011581
+6987	C0026769	4318	0.1	CHEMBL1434	C0018081
+6988	C0026769	4318	0.1	CHEMBL1434	C0023860
+6989	C0026769	4318	0.1	CHEMBL1434	C0031099
+6990	C0026769	4318	0.1	CHEMBL1434	C0031350
+6991	C0026769	4318	0.1	CHEMBL1434	C0032064
+6992	C0026769	4318	0.1	CHEMBL1434	C0032285
+6993	C0026769	4318	0.1	CHEMBL1434	C0034362
+6994	C0026769	4318	0.1	CHEMBL1434	C0035854
+6995	C0026769	4318	0.1	CHEMBL1434	C0037199
+6996	C0026769	4318	0.1	CHEMBL1434	C0039128
+6997	C0026769	4318	0.1	CHEMBL1434	C0042029
+6998	C0010674	4318	0.03	CHEMBL1434	C0001144
+6999	C0010674	4318	0.03	CHEMBL1434	C0001261
+7000	C0010674	4318	0.03	CHEMBL1434	C0003175
+7001	C0010674	4318	0.03	CHEMBL1434	C0006277
+7002	C0010674	4318	0.03	CHEMBL1434	C0006309
+7003	C0010674	4318	0.03	CHEMBL1434	C0011581
+7004	C0010674	4318	0.03	CHEMBL1434	C0018081
+7005	C0010674	4318	0.03	CHEMBL1434	C0023860
+7006	C0010674	4318	0.03	CHEMBL1434	C0026769
+7007	C0010674	4318	0.03	CHEMBL1434	C0031099
+7008	C0010674	4318	0.03	CHEMBL1434	C0031350
+7009	C0010674	4318	0.03	CHEMBL1434	C0032064
+7010	C0010674	4318	0.03	CHEMBL1434	C0032285
+7011	C0010674	4318	0.03	CHEMBL1434	C0034362
+7012	C0010674	4318	0.03	CHEMBL1434	C0035854
+7013	C0010674	4318	0.03	CHEMBL1434	C0037199
+7014	C0010674	4318	0.03	CHEMBL1434	C0039128
+7015	C0010674	4318	0.03	CHEMBL1434	C0042029
+7016	C0028754	154	0.5	CHEMBL679	C0001627
+7017	C0028754	154	0.5	CHEMBL679	C0002792
+7018	C0028754	154	0.5	CHEMBL679	C0004096
+7019	C0028754	154	0.5	CHEMBL679	C0006267
+7020	C0028754	154	0.5	CHEMBL679	C0006277
+7021	C0028754	154	0.5	CHEMBL679	C0013404
+7022	C0028754	154	0.5	CHEMBL679	C0017612
+7023	C0028754	154	0.5	CHEMBL679	C0018790
+7024	C0028754	154	0.5	CHEMBL679	C0020649
+7025	C0028754	154	0.5	CHEMBL679	C0030193
+7026	C0028754	154	0.5	CHEMBL679	C0030201
+7027	C0028754	154	0.5	CHEMBL679	C0031099
+7028	C0028754	154	0.5	CHEMBL679	C0034067
+7029	C0028754	154	0.5	CHEMBL679	C0042510
+7030	C0028754	154	0.5	CHEMBL679	C0043144
+7031	C0028754	153	0.39	CHEMBL679	C0001627
+7032	C0028754	153	0.39	CHEMBL679	C0002792
+7033	C0028754	153	0.39	CHEMBL679	C0004096
+7034	C0028754	153	0.39	CHEMBL679	C0006267
+7035	C0028754	153	0.39	CHEMBL679	C0006277
+7036	C0028754	153	0.39	CHEMBL679	C0013404
+7037	C0028754	153	0.39	CHEMBL679	C0017612
+7038	C0028754	153	0.39	CHEMBL679	C0018790
+7039	C0028754	153	0.39	CHEMBL679	C0020649
+7040	C0028754	153	0.39	CHEMBL679	C0030193
+7041	C0028754	153	0.39	CHEMBL679	C0030201
+7042	C0028754	153	0.39	CHEMBL679	C0031099
+7043	C0028754	153	0.39	CHEMBL679	C0034067
+7044	C0028754	153	0.39	CHEMBL679	C0042510
+7045	C0028754	153	0.39	CHEMBL679	C0043144
+7046	C0036341	3360	0.36	CHEMBL46	C0001973
+7047	C0036341	3360	0.36	CHEMBL46	C0027497
+7048	C0036341	3360	0.36	CHEMBL46	C0028768
+7049	C0036341	3360	0.36	CHEMBL46	C0042963
+7050	C0028754	1588	0.18	CHEMBL1399	C0007131
+7051	C0028754	1588	0.18	CHEMBL1399	C0271623
+7052	C0028754	5468	0.9	CHEMBL595	C0002736
+7053	C0028754	5468	0.9	CHEMBL595	C0004096
+7054	C0028754	5468	0.9	CHEMBL595	C0011849
+7055	C0028754	5468	0.9	CHEMBL595	C0011860
+7056	C0028754	5468	0.9	CHEMBL595	C0014175
+7057	C0028754	5468	0.9	CHEMBL595	C0028043
+7058	C0028754	5468	0.9	CHEMBL595	C0524910
+7059	C0002736	5468	0.03	CHEMBL595	C0004096
+7060	C0002736	5468	0.03	CHEMBL595	C0011849
+7061	C0002736	5468	0.03	CHEMBL595	C0011860
+7062	C0002736	5468	0.03	CHEMBL595	C0014175
+7063	C0002736	5468	0.03	CHEMBL595	C0028043
+7064	C0002736	5468	0.03	CHEMBL595	C0028754
+7065	C0002736	5468	0.03	CHEMBL595	C0524910
+7066	C0027819	5914	0.05	CHEMBL547	C0002395
+7067	C0027819	5914	0.05	CHEMBL547	C0020538
+7068	C0036341	2099	0.38	CHEMBL45	C0011615
+7069	C0036341	2099	0.38	CHEMBL45	C0017168
+7070	C0036341	2099	0.38	CHEMBL45	C0018801
+7071	C0036341	2099	0.38	CHEMBL45	C0021603
+7072	C0036341	2099	0.38	CHEMBL45	C0022104
+7073	C0036341	2099	0.38	CHEMBL45	C0497327
+7074	C0036341	4544	0.03	CHEMBL45	C0011615
+7075	C0036341	4544	0.03	CHEMBL45	C0017168
+7076	C0036341	4544	0.03	CHEMBL45	C0018801
+7077	C0036341	4544	0.03	CHEMBL45	C0021603
+7078	C0036341	4544	0.03	CHEMBL45	C0022104
+7079	C0036341	4544	0.03	CHEMBL45	C0497327
+7080	C0036341	4543	0.32	CHEMBL45	C0011615
+7081	C0036341	4543	0.32	CHEMBL45	C0017168
+7082	C0036341	4543	0.32	CHEMBL45	C0018801
+7083	C0036341	4543	0.32	CHEMBL45	C0021603
+7084	C0036341	4543	0.32	CHEMBL45	C0022104
+7085	C0036341	4543	0.32	CHEMBL45	C0497327
+7086	C0036341	1269	0.33	CHEMBL465	C0026769
+7087	C0036341	1269	0.33	CHEMBL465	C0026838
+7088	C0036341	1269	0.33	CHEMBL465	C0027497
+7089	C0036341	1269	0.33	CHEMBL465	C0042963
+7090	C0036341	1269	0.33	CHEMBL465	C0150055
+7091	C0026769	1269	0.03	CHEMBL465	C0026838
+7092	C0026769	1269	0.03	CHEMBL465	C0027497
+7093	C0026769	1269	0.03	CHEMBL465	C0036341
+7094	C0026769	1269	0.03	CHEMBL465	C0042963
+7095	C0026769	1269	0.03	CHEMBL465	C0150055
+7096	C0014544	6323	0.5	CHEMBL750	C0001973
+7097	C0014544	6323	0.5	CHEMBL750	C0005586
+7098	C0014544	6323	0.5	CHEMBL750	C0036337
+7099	C0014544	6323	0.5	CHEMBL750	C0036341
+7100	C0014544	6323	0.5	CHEMBL16	C0014547
+7101	C0014544	6323	0.5	CHEMBL16	C0014549
+7102	C0014544	6323	0.5	CHEMBL16	C0027819
+7103	C0014544	6323	0.5	CHEMBL16	C0036341
+7104	C0014544	6323	0.5	CHEMBL16	C0038220
+7105	C0014544	6323	0.5	CHEMBL16	C0234974
+7106	C0014544	6323	0.5	CHEMBL16	C0494475
+7107	C0014544	6323	0.5	CHEMBL16	C0497327
+7108	C0014544	8912	0.02	CHEMBL750	C0001973
+7109	C0014544	8912	0.02	CHEMBL750	C0005586
+7110	C0014544	8912	0.02	CHEMBL750	C0036337
+7111	C0014544	8912	0.02	CHEMBL750	C0036341
+7112	C0014544	11280	0.1	CHEMBL750	C0001973
+7113	C0014544	11280	0.1	CHEMBL750	C0005586
+7114	C0014544	11280	0.1	CHEMBL750	C0036337
+7115	C0014544	11280	0.1	CHEMBL750	C0036341
+7116	C0014544	6326	0.5	CHEMBL750	C0001973
+7117	C0014544	6326	0.5	CHEMBL750	C0005586
+7118	C0014544	6326	0.5	CHEMBL750	C0036337
+7119	C0014544	6326	0.5	CHEMBL750	C0036341
+7120	C0014544	6326	0.5	CHEMBL16	C0014547
+7121	C0014544	6326	0.5	CHEMBL16	C0014549
+7122	C0014544	6326	0.5	CHEMBL16	C0027819
+7123	C0014544	6326	0.5	CHEMBL16	C0036341
+7124	C0014544	6326	0.5	CHEMBL16	C0038220
+7125	C0014544	6326	0.5	CHEMBL16	C0234974
+7126	C0014544	6326	0.5	CHEMBL16	C0494475
+7127	C0014544	6326	0.5	CHEMBL16	C0497327
+7128	C0014544	6328	0.06	CHEMBL750	C0001973
+7129	C0014544	6328	0.06	CHEMBL750	C0005586
+7130	C0014544	6328	0.06	CHEMBL750	C0036337
+7131	C0014544	6328	0.06	CHEMBL750	C0036341
+7132	C0036341	4128	0.4	CHEMBL750	C0001973
+7133	C0036341	4128	0.4	CHEMBL750	C0005586
+7134	C0036341	4128	0.4	CHEMBL750	C0014544
+7135	C0036341	4128	0.4	CHEMBL750	C0036337
+7136	C0005586	4128	0.4	CHEMBL750	C0001973
+7137	C0005586	4128	0.4	CHEMBL750	C0014544
+7138	C0005586	4128	0.4	CHEMBL750	C0036337
+7139	C0005586	4128	0.4	CHEMBL750	C0036341
+7140	C0036341	4128	0.4	CHEMBL86304	C0011581
+7141	C0036341	4128	0.4	CHEMBL86304	C0497327
+7142	C0036341	4129	0.4	CHEMBL750	C0001973
+7143	C0036341	4129	0.4	CHEMBL750	C0005586
+7144	C0036341	4129	0.4	CHEMBL750	C0014544
+7145	C0036341	4129	0.4	CHEMBL750	C0036337
+7146	C0005586	4129	0.31	CHEMBL750	C0001973
+7147	C0005586	4129	0.31	CHEMBL750	C0014544
+7148	C0005586	4129	0.31	CHEMBL750	C0036337
+7149	C0005586	4129	0.31	CHEMBL750	C0036341
+7150	C0036341	4129	0.4	CHEMBL86304	C0011581
+7151	C0036341	4129	0.4	CHEMBL86304	C0497327
+7152	C0036341	6329	0.1	CHEMBL750	C0001973
+7153	C0036341	6329	0.1	CHEMBL750	C0005586
+7154	C0036341	6329	0.1	CHEMBL750	C0014544
+7155	C0036341	6329	0.1	CHEMBL750	C0036337
+7156	C0036341	8911	0.1	CHEMBL750	C0001973
+7157	C0036341	8911	0.1	CHEMBL750	C0005586
+7158	C0036341	8911	0.1	CHEMBL750	C0014544
+7159	C0036341	8911	0.1	CHEMBL750	C0036337
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+7161	C0002395	2740	0.02	CHEMBL414357	C0011849
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+7163	C0011849	2740	0.3	CHEMBL1201866	C0028754
+7164	C0011849	2740	0.3	CHEMBL1201866	C0033860
+7165	C0028754	2740	0.3	CHEMBL1201866	C0011849
+7166	C0028754	2740	0.3	CHEMBL1201866	C0011860
+7167	C0028754	2740	0.3	CHEMBL1201866	C0033860
+7168	C0036341	3786	0.31	CHEMBL940	C0030193
+7169	C0036341	3786	0.31	CHEMBL940	C0032768
+7170	C0036341	3786	0.31	CHEMBL940	C0035258
+7171	C0036341	3786	0.31	CHEMBL940	C0150055
+7172	C0036341	3786	0.31	CHEMBL940	C0497327
+7173	C0036341	3786	0.31	CHEMBL629	C0011581
+7174	C0036341	3786	0.31	CHEMBL629	C0030193
+7175	C0036341	3786	0.31	CHEMBL629	C0149931
+7176	C0036341	3786	0.31	CHEMBL629	C0497327
+7177	C0036341	3786	0.31	CHEMBL629	C0917801
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+7179	C0014544	146	0.02	CHEMBL49	C0018801
+7180	C0014544	146	0.02	CHEMBL49	C0036341
+7181	C0014544	146	0.02	CHEMBL49	C0497327
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+7184	C0036341	2903	0.5	CHEMBL773	C0019345
+7185	C0036341	2903	0.5	CHEMBL773	C0026764
+7186	C0036341	2903	0.5	CHEMBL773	C0035455
+7187	C0036341	2903	0.5	CHEMBL773	C2607914
+7188	C0036341	2905	0.34	CHEMBL773	C0009443
+7189	C0036341	2905	0.34	CHEMBL773	C0010200
+7190	C0036341	2905	0.34	CHEMBL773	C0019345
+7191	C0036341	2905	0.34	CHEMBL773	C0026764
+7192	C0036341	2905	0.34	CHEMBL773	C0035455
+7193	C0036341	2905	0.34	CHEMBL773	C2607914
+7194	C0036341	6470	0.31	CHEMBL773	C0009443
+7195	C0036341	6470	0.31	CHEMBL773	C0010200
+7196	C0036341	6470	0.31	CHEMBL773	C0019345
+7197	C0036341	6470	0.31	CHEMBL773	C0026764
+7198	C0036341	6470	0.31	CHEMBL773	C0035455
+7199	C0036341	6470	0.31	CHEMBL773	C2607914
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+7201	C0026769	2099	0.02	CHEMBL386630	C0018801
+7202	C0026769	2099	0.02	CHEMBL386630	C0020635
+7203	C0026769	2099	0.02	CHEMBL386630	C0022735
+7204	C0026769	2099	0.02	CHEMBL386630	C0034012
+7205	C0026769	2099	0.02	CHEMBL386630	C0271623
+7206	C0026769	2099	0.02	CHEMBL386630	C0600142
+7207	C0026769	2099	0.02	CHEMBL386630	C0948896
+7208	C0025202	1956	0.1	CHEMBL554	C0007137
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+7214	C0036341	4914	0.34	CHEMBL629	C0149931
+7215	C0036341	4914	0.34	CHEMBL629	C0497327
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+7220	C0036341	4915	0.37	CHEMBL629	C0497327
+7221	C0036341	4915	0.37	CHEMBL629	C0917801
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+7229	C0036341	81033	0.3	CHEMBL629	C0149931
+7230	C0036341	81033	0.3	CHEMBL629	C0497327
+7231	C0036341	81033	0.3	CHEMBL629	C0917801
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+7233	C0036341	5021	0.33	CHEMBL395429	C0028754
+7234	C0036341	5021	0.33	CHEMBL395429	C0032797
+7235	C0028754	5021	0.02	CHEMBL395429	C0001973
+7236	C0028754	5021	0.02	CHEMBL395429	C0032797
+7237	C0028754	5021	0.02	CHEMBL395429	C0036341
+7238	C0036341	2566	0.34	CHEMBL911	C0030567
+7239	C0036341	2566	0.34	CHEMBL911	C0497327
+7240	C0036341	2566	0.34	CHEMBL911	C0917801
+7241	C0036341	1137	0.38	CHEMBL1396	C0001973
+7242	C0036341	1137	0.38	CHEMBL1396	C0028043
+7243	C0036341	1137	0.38	CHEMBL1396	C0028754
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+7245	C0036341	1139	0.4	CHEMBL659	C0036337
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+7249	C0002395	1139	0.4	CHEMBL659	C0036341
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+7251	C0002395	1139	0.4	CHEMBL659	C0497327
+7252	C0036341	1139	0.4	CHEMBL1396	C0001973
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+7254	C0036341	1139	0.4	CHEMBL1396	C0028754
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+7256	C0036341	89832	0.4	CHEMBL40	C0014544
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+7258	C0036341	89832	0.4	CHEMBL40	C0038220
+7259	C0036341	89832	0.4	CHEMBL40	C0042376
+7260	C0036341	89832	0.4	CHEMBL40	C0149931
+7261	C0036341	89832	0.4	CHEMBL40	C0234974
+7262	C0036341	89832	0.4	CHEMBL40	C0494475
+7263	C0036341	89832	0.4	CHEMBL40	C0497327
+7264	C0036341	89832	0.4	CHEMBL659	C0002395
+7265	C0036341	89832	0.4	CHEMBL659	C0036337
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+7268	C0002395	89832	0.02	CHEMBL659	C0036337
+7269	C0002395	89832	0.02	CHEMBL659	C0036341
+7270	C0002395	89832	0.02	CHEMBL659	C0038436
+7271	C0002395	89832	0.02	CHEMBL659	C0497327
+7272	C0036341	89832	0.4	CHEMBL1396	C0001973
+7273	C0036341	89832	0.4	CHEMBL1396	C0028043
+7274	C0036341	89832	0.4	CHEMBL1396	C0028754
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+7278	C0036341	2898	0.34	CHEMBL40	C0038220
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+7280	C0036341	2898	0.34	CHEMBL40	C0149931
+7281	C0036341	2898	0.34	CHEMBL40	C0234974
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+7300	C0010674	836	0.02	CHEMBL1434	C0003175
+7301	C0010674	836	0.02	CHEMBL1434	C0006277
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+7308	C0010674	836	0.02	CHEMBL1434	C0031350
+7309	C0010674	836	0.02	CHEMBL1434	C0032064
+7310	C0010674	836	0.02	CHEMBL1434	C0032285
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+7312	C0010674	836	0.02	CHEMBL1434	C0035854
+7313	C0010674	836	0.02	CHEMBL1434	C0037199
+7314	C0010674	836	0.02	CHEMBL1434	C0039128
+7315	C0010674	836	0.02	CHEMBL1434	C0042029
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+7325	C0028754	190	0.02	CHEMBL384467	C0002726
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+7327	C0028754	190	0.02	CHEMBL384467	C0002994
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+7330	C0028754	190	0.02	CHEMBL384467	C0003873
+7331	C0028754	190	0.02	CHEMBL384467	C0004096
+7332	C0028754	190	0.02	CHEMBL384467	C0005138
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+7336	C0028754	190	0.02	CHEMBL384467	C0007131
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+7338	C0028754	190	0.02	CHEMBL384467	C0009766
+7339	C0028754	190	0.02	CHEMBL384467	C0010032
+7340	C0028754	190	0.02	CHEMBL384467	C0010043
+7341	C0028754	190	0.02	CHEMBL384467	C0010346
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+7346	C0028754	190	0.02	CHEMBL384467	C0014742
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+7348	C0028754	190	0.02	CHEMBL384467	C0015397
+7349	C0028754	190	0.02	CHEMBL384467	C0019829
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+7356	C0028754	190	0.02	CHEMBL384467	C0024138
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+7548	C0003873	5468	0.02	CHEMBL521	C0030201
+7549	C0003873	5468	0.02	CHEMBL521	C0393735
+7550	C0003873	5468	0.02	CHEMBL521	C2215257
+7551	C0003873	5468	0.02	CHEMBL521	C3495559
+7552	C0003873	5468	0.02	CHEMBL6	C0006444
+7553	C0003873	5468	0.02	CHEMBL6	C0013274
+7554	C0003873	5468	0.02	CHEMBL6	C0018099
+7555	C0003873	5468	0.02	CHEMBL6	C0029408
+7556	C0003873	5468	0.02	CHEMBL6	C0035435
+7557	C0003873	5468	0.02	CHEMBL6	C0038013
+7558	C0003873	5468	0.02	CHEMBL6	C0039103
+7559	C0003873	5468	0.02	CHEMBL6	C0039503
+7560	C0003873	5468	0.02	CHEMBL421	C0009324
+7561	C0003873	5468	0.02	CHEMBL421	C3495559
+7562	C0003873	596	0.1	CHEMBL521	C0009443
+7563	C0003873	596	0.1	CHEMBL521	C0013274
+7564	C0003873	596	0.1	CHEMBL521	C0013390
+7565	C0003873	596	0.1	CHEMBL521	C0015967
+7566	C0003873	596	0.1	CHEMBL521	C0029408
+7567	C0003873	596	0.1	CHEMBL521	C0030193
+7568	C0003873	596	0.1	CHEMBL521	C0030201
+7569	C0003873	596	0.1	CHEMBL521	C0393735
+7570	C0003873	596	0.1	CHEMBL521	C2215257
+7571	C0003873	596	0.1	CHEMBL521	C3495559
+7572	C0003873	5320	0.02	CHEMBL6	C0006444
+7573	C0003873	5320	0.02	CHEMBL6	C0013274
+7574	C0003873	5320	0.02	CHEMBL6	C0018099
+7575	C0003873	5320	0.02	CHEMBL6	C0029408
+7576	C0003873	5320	0.02	CHEMBL6	C0035435
+7577	C0003873	5320	0.02	CHEMBL6	C0038013
+7578	C0003873	5320	0.02	CHEMBL6	C0039103
+7579	C0003873	5320	0.02	CHEMBL6	C0039503
+7580	C0003873	3577	0.02	CHEMBL571	C0006444
+7581	C0003873	3577	0.02	CHEMBL571	C0013390
+7582	C0003873	3577	0.02	CHEMBL571	C0029408
+7583	C0003873	3577	0.02	CHEMBL571	C0030193
+7584	C0003873	3577	0.02	CHEMBL571	C0149931
+7585	C0020538	5972	0.6	CHEMBL1237	C0027051
+7586	C0005586	6530	0.33	CHEMBL742	C0008311
+7587	C0005586	6530	0.33	CHEMBL742	C0011581
+7588	C0005586	6530	0.33	CHEMBL742	C0014544
+7589	C0005586	6530	0.33	CHEMBL742	C0028768
+7590	C0005586	6530	0.33	CHEMBL742	C0030193
+7591	C0005586	6530	0.33	CHEMBL742	C0030305
+7592	C0005586	6530	0.33	CHEMBL742	C0038220
+7593	C0005586	6530	0.33	CHEMBL742	C0150055
+7594	C0005586	6530	0.33	CHEMBL742	C0184567
+7595	C0005586	6530	0.33	CHEMBL742	C1269683
+7596	C0003873	240	0.35	CHEMBL509	C0013390
+7597	C0003873	240	0.35	CHEMBL509	C0025323
+7598	C0003873	240	0.35	CHEMBL509	C0029408
+7599	C0003873	240	0.35	CHEMBL509	C0030193
+7600	C0003873	240	0.35	CHEMBL421	C0009324
+7601	C0003873	240	0.35	CHEMBL421	C3495559
+7602	C0014544	2559	0.02	CHEMBL45029	C0014549
+7603	C0014544	2559	0.02	CHEMBL448	C0038220
+7604	C0014544	2559	0.02	CHEMBL448	C0917798
+7605	C0014544	2559	0.02	CHEMBL448	C0917801
+7606	C0014544	2559	0.02	CHEMBL856	C0014547
+7607	C0014544	2559	0.02	CHEMBL856	C0014549
+7608	C0014544	2559	0.02	CHEMBL856	C0234974
+7609	C0014544	2559	0.02	CHEMBL856	C0494475
+7610	C0014544	2559	0.02	CHEMBL441	C0033845
+7611	C0014544	2559	0.02	CHEMBL441	C0038220
+7612	C0014544	2559	0.02	CHEMBL267894	C0038220
+7613	C0014544	2559	0.02	CHEMBL267894	C0917801
+7614	C0014544	2559	0.02	CHEMBL447	C0038220
+7615	C0014544	2559	0.02	CHEMBL447	C0917801
+7616	C0014544	2556	0.02	CHEMBL45029	C0014549
+7617	C0014544	2556	0.02	CHEMBL448	C0038220
+7618	C0014544	2556	0.02	CHEMBL448	C0917798
+7619	C0014544	2556	0.02	CHEMBL448	C0917801
+7620	C0014544	2556	0.02	CHEMBL856	C0014547
+7621	C0014544	2556	0.02	CHEMBL856	C0014549
+7622	C0014544	2556	0.02	CHEMBL856	C0234974
+7623	C0014544	2556	0.02	CHEMBL856	C0494475
+7624	C0014544	2556	0.02	CHEMBL441	C0033845
+7625	C0014544	2556	0.02	CHEMBL441	C0038220
+7626	C0014544	2556	0.02	CHEMBL267894	C0038220
+7627	C0014544	2556	0.02	CHEMBL267894	C0917801
+7628	C0014544	2556	0.02	CHEMBL447	C0038220
+7629	C0014544	2556	0.02	CHEMBL447	C0917801
+7630	C0017205	7357	0.03	CHEMBL1029	C0220756
+7631	C0030567	4128	0.4	CHEMBL972	C1269683
+7632	C0030567	4129	0.6	CHEMBL972	C1269683
+7633	C0003873	3551	0.02	CHEMBL421	C0009324
+7634	C0003873	3551	0.02	CHEMBL421	C3495559
+7635	C0003873	5319	0.06	CHEMBL421	C0009324
+7636	C0003873	5319	0.06	CHEMBL421	C3495559
+7637	C0010308	7067	0.4	CHEMBL1624	C0018021
+7638	C0010308	7067	0.4	CHEMBL1624	C0020473
+7639	C0010308	7067	0.4	CHEMBL1624	C0020676
+7640	C0010308	7067	0.4	CHEMBL1624	C0027145
+7641	C0010308	7067	0.4	CHEMBL1624	C0677607
+7642	C0010308	7067	0.4	CHEMBL1544	C0018021
+7643	C0010308	7067	0.4	CHEMBL1544	C0020676
+7644	C0010308	7067	0.4	CHEMBL1544	C0027145
+7645	C0003873	5879	0.02	CHEMBL1542	C0009324
+7646	C0003873	5879	0.02	CHEMBL1542	C0010346
+7647	C0003873	5879	0.02	CHEMBL1542	C0024141
+7648	C0020538	7040	0.6	CHEMBL611	C1739363
+7649	C0007134	2261	0.12	CHEMBL477772	C1261473
+7650	C0007134	2261	0.12	CHEMBL1289601	C0206682
+7651	C0007134	2261	0.12	CHEMBL1289601	C0238463
+7652	C0023434	5293	0.1	CHEMBL2216870	C0024301
+7653	C0003873	3554	0.03	CHEMBL1201570	C0409818
+7654	C0003873	3554	0.03	CHEMBL1201570	C2316212
+7655	C0003873	2944	0.07	CHEMBL76	C0024138
+7656	C0003873	2944	0.07	CHEMBL76	C0024141
+7657	C0003873	2944	0.07	CHEMBL76	C0024530
+7658	C0003873	2944	0.07	CHEMBL76	C0024535
+7659	C0003873	2944	0.07	CHEMBL76	C0024537
+7660	C0003873	2944	0.07	CHEMBL76	C0026764
+7661	C0003873	3146	0.08	CHEMBL76	C0024138
+7662	C0003873	3146	0.08	CHEMBL76	C0024141
+7663	C0003873	3146	0.08	CHEMBL76	C0024530
+7664	C0003873	3146	0.08	CHEMBL76	C0024535
+7665	C0003873	3146	0.08	CHEMBL76	C0024537
+7666	C0003873	3146	0.08	CHEMBL76	C0026764
+7667	C0004153	79001	0.03	CHEMBL1464	C0004238
+7668	C0004153	79001	0.03	CHEMBL1464	C0007780
+7669	C0004153	79001	0.03	CHEMBL1464	C0019080
+7670	C0004153	79001	0.03	CHEMBL1464	C0020542
+7671	C0004153	79001	0.03	CHEMBL1464	C0026764
+7672	C0004153	79001	0.03	CHEMBL1464	C0040038
+7673	C0004153	79001	0.03	CHEMBL1464	C0040053
+7674	C0004153	79001	0.03	CHEMBL1464	C0149871
+7675	C0004153	79001	0.03	CHEMBL1464	C0524702
+7676	C0003873	4790	0.1	CHEMBL468	C0011644
+7677	C0003873	4790	0.1	CHEMBL468	C0014175
+7678	C0003873	4790	0.1	CHEMBL468	C0019829
+7679	C0003873	4790	0.1	CHEMBL468	C0026764
+7680	C0003873	4790	0.1	CHEMBL468	C0042164
+7681	C0002395	2908	0.08	CHEMBL1276308	C0011581
+7682	C0002395	2908	0.08	CHEMBL1276308	C0028043
+7683	C0002395	5468	0.4	CHEMBL121	C0011849
+7684	C0002395	5468	0.4	CHEMBL121	C0014175
+7685	C0002395	5468	0.4	CHEMBL121	C0024530
+7686	C0002395	5468	0.4	CHEMBL121	C0242339
+7687	C0002395	3066	0.02	CHEMBL1064	C0003850
+7688	C0002395	3066	0.02	CHEMBL1064	C0004153
+7689	C0002395	3066	0.02	CHEMBL1064	C0005586
+7690	C0002395	3066	0.02	CHEMBL1064	C0010674
+7691	C0002395	3066	0.02	CHEMBL1064	C0011849
+7692	C0002395	3066	0.02	CHEMBL1064	C0020443
+7693	C0002395	3066	0.02	CHEMBL1064	C0020473
+7694	C0002395	3066	0.02	CHEMBL1064	C0020474
+7695	C0002395	3066	0.02	CHEMBL1064	C0020479
+7696	C0002395	3066	0.02	CHEMBL1064	C0020557
+7697	C0002395	3066	0.02	CHEMBL1064	C0027051
+7698	C0002395	3066	0.02	CHEMBL1064	C0032285
+7699	C0002395	3066	0.02	CHEMBL1064	C0038454
+7700	C0002395	3066	0.02	CHEMBL1064	C0242339
+7701	C0002395	3066	0.02	CHEMBL1064	C0473527
+7702	C0002395	3066	0.02	CHEMBL1064	C0751967
+7703	C0003873	2350	0.03	CHEMBL1622	C0007134
+7704	C0003873	2350	0.03	CHEMBL1622	C0016412
+7705	C0003873	2350	0.03	CHEMBL1622	C0033860
+7706	C0003873	2350	0.03	CHEMBL1622	C0162316
+7707	C0003125	3352	0.04	CHEMBL716	C0005586
+7708	C0003125	3352	0.04	CHEMBL716	C0005587
+7709	C0003125	3352	0.04	CHEMBL716	C0036337
+7710	C0003125	3352	0.04	CHEMBL716	C0036341
+7711	C0003125	3352	0.04	CHEMBL716	C0497327
+7712	C0003125	3352	0.04	CHEMBL716	C1269683
+7713	C0005586	590	0.31	CHEMBL742	C0008311
+7714	C0005586	590	0.31	CHEMBL742	C0011581
+7715	C0005586	590	0.31	CHEMBL742	C0014544
+7716	C0005586	590	0.31	CHEMBL742	C0028768
+7717	C0005586	590	0.31	CHEMBL742	C0030193
+7718	C0005586	590	0.31	CHEMBL742	C0030305
+7719	C0005586	590	0.31	CHEMBL742	C0038220
+7720	C0005586	590	0.31	CHEMBL742	C0150055
+7721	C0005586	590	0.31	CHEMBL742	C0184567
+7722	C0005586	590	0.31	CHEMBL742	C1269683
+7723	C0005586	4842	0.05	CHEMBL742	C0008311
+7724	C0005586	4842	0.05	CHEMBL742	C0011581
+7725	C0005586	4842	0.05	CHEMBL742	C0014544
+7726	C0005586	4842	0.05	CHEMBL742	C0028768
+7727	C0005586	4842	0.05	CHEMBL742	C0030193
+7728	C0005586	4842	0.05	CHEMBL742	C0030305
+7729	C0005586	4842	0.05	CHEMBL742	C0038220
+7730	C0005586	4842	0.05	CHEMBL742	C0150055
+7731	C0005586	4842	0.05	CHEMBL742	C0184567
+7732	C0005586	4842	0.05	CHEMBL742	C1269683
+7733	C0005586	6869	0.52	CHEMBL742	C0008311
+7734	C0005586	6869	0.52	CHEMBL742	C0011581
+7735	C0005586	6869	0.52	CHEMBL742	C0014544
+7736	C0005586	6869	0.52	CHEMBL742	C0028768
+7737	C0005586	6869	0.52	CHEMBL742	C0030193
+7738	C0005586	6869	0.52	CHEMBL742	C0030305
+7739	C0005586	6869	0.52	CHEMBL742	C0038220
+7740	C0005586	6869	0.52	CHEMBL742	C0150055
+7741	C0005586	6869	0.52	CHEMBL742	C0184567
+7742	C0005586	6869	0.52	CHEMBL742	C1269683
+7743	C0005586	116443	0.31	CHEMBL742	C0008311
+7744	C0005586	116443	0.31	CHEMBL742	C0011581
+7745	C0005586	116443	0.31	CHEMBL742	C0014544
+7746	C0005586	116443	0.31	CHEMBL742	C0028768
+7747	C0005586	116443	0.31	CHEMBL742	C0030193
+7748	C0005586	116443	0.31	CHEMBL742	C0030305
+7749	C0005586	116443	0.31	CHEMBL742	C0038220
+7750	C0005586	116443	0.31	CHEMBL742	C0150055
+7751	C0005586	116443	0.31	CHEMBL742	C0184567
+7752	C0005586	116443	0.31	CHEMBL742	C1269683
+7753	C0011849	19	0.08	CHEMBL472	C0011860
+7754	C0011849	1080	0.05	CHEMBL472	C0011860
+7755	C0011849	1374	0.31	CHEMBL472	C0011860
+7756	C0011849	3767	0.2	CHEMBL472	C0011860
+7757	C0026769	1901	0.05	CHEMBL314854	C0751964
+7758	C0026769	1901	0.05	CHEMBL314854	C0751967
+7759	C0036341	134864	0.31	CHEMBL1201222	C0596170
+7760	C0036341	134864	0.31	CHEMBL1201222	C1263846
+7761	C0036341	134864	0.31	CHEMBL1201222	C1269683
+7762	C0025202	673	1.0	CHEMBL1229517	C0026764
+7763	C0003873	100	0.02	CHEMBL932	C0004238
+7764	C0036341	5142	0.4	CHEMBL19224	C0085096
+7765	C0036341	5142	0.4	CHEMBL19224	C0917798
+7766	C0036341	10846	0.06	CHEMBL19224	C0085096
+7767	C0036341	10846	0.06	CHEMBL19224	C0917798
+7768	C0025202	5914	0.02	CHEMBL1131	C0033860
+7769	C0025202	5915	0.02	CHEMBL1131	C0033860
+7770	C0025202	6256	0.02	CHEMBL1131	C0033860
+7771	C0010674	8654	0.03	CHEMBL1520	C0242350
+7772	C0026769	3454	0.03	CHEMBL1201563	C0751967
+7773	C0026769	3455	0.02	CHEMBL1201563	C0751967
diff --git a/Data/Input/DISNET/Type_dis_drebiop.xlsx b/Data/Input/DISNET/Type_dis_drebiop.xlsx
new file mode 100644
index 0000000000000000000000000000000000000000..2de53841ec1a04b61e5d26cb779fbea15c0cbbea
Binary files /dev/null and b/Data/Input/DISNET/Type_dis_drebiop.xlsx differ
diff --git a/Data/Input/DISNET/all_triplets_repodb_union.tsv b/Data/Input/DISNET/all_triplets_repodb_union.tsv
new file mode 100644
index 0000000000000000000000000000000000000000..646640f280a7e16bfeeac0fca894803b027e8a47
--- /dev/null
+++ b/Data/Input/DISNET/all_triplets_repodb_union.tsv
@@ -0,0 +1,164 @@
+	disease_PwB	drug_id	pathway_id	gene_id	disease_no_PwB
+0	C0020538	CHEMBL578	WP554	1636	C0018802
+1	C0020538	CHEMBL578	WP4756	1636	C0018802
+2	C0020538	CHEMBL577	WP554	1636	C0018802
+3	C0020538	CHEMBL577	WP4756	1636	C0018802
+4	C0020538	CHEMBL1513	WP554	185	C0004238
+5	C0020538	CHEMBL1513	WP554	185	C0011881
+6	C0020538	CHEMBL1513	WP4756	185	C0004238
+7	C0020538	CHEMBL1513	WP4756	185	C0011881
+8	C0030567	CHEMBL59	WP2371	6531	C0001206
+9	C0030567	CHEMBL59	WP2371	6531	C0020649
+10	C0030567	CHEMBL59	WP2371	6531	C0024586
+11	C0020538	CHEMBL191	WP554	185	C0010674
+12	C0020538	CHEMBL191	WP554	185	C0011881
+13	C0020538	CHEMBL191	WP4756	185	C0010674
+14	C0020538	CHEMBL191	WP4756	185	C0011881
+15	C0020538	CHEMBL1168	WP554	1636	C0004238
+16	C0020538	CHEMBL1168	WP4756	1636	C0004238
+17	C0020538	CHEMBL1393	WP554	1585	C0003962
+18	C0020538	CHEMBL1393	WP554	1585	C0013604
+19	C0020538	CHEMBL1393	WP554	1585	C0020428
+20	C0020538	CHEMBL1393	WP554	4306	C0003962
+21	C0020538	CHEMBL1393	WP554	4306	C0013604
+22	C0020538	CHEMBL1393	WP554	4306	C0020428
+23	C0020538	CHEMBL1017	WP554	185	C0020473
+24	C0020538	CHEMBL1017	WP4756	185	C0020473
+25	C0020538	CHEMBL1069	WP554	185	C0018801
+26	C0020538	CHEMBL1069	WP4756	185	C0018801
+27	C0035579	CHEMBL1042	WP1531	7421	C0004096
+28	C0035579	CHEMBL1042	WP1531	7421	C0009324
+29	C0035579	CHEMBL1042	WP1531	7421	C0010346
+30	C0035579	CHEMBL1042	WP1531	7421	C0011849
+31	C0035579	CHEMBL1042	WP1531	7421	C0020598
+32	C0035579	CHEMBL1042	WP1531	7421	C0020626
+33	C0035579	CHEMBL1042	WP1531	7421	C0024141
+34	C0035579	CHEMBL1042	WP1531	7421	C0026769
+35	C0035579	CHEMBL1042	WP1531	7421	C0028754
+36	C0035579	CHEMBL1042	WP1531	7421	C0029456
+37	C0035579	CHEMBL1042	WP1531	7421	C0029458
+38	C0030567	CHEMBL1201203	WP2371	6531	C0015371
+39	C0035579	CHEMBL1040	WP1531	7421	C0020598
+40	C0035579	CHEMBL1040	WP1531	7421	C0035086
+41	C0020538	CHEMBL1560	WP554	1636	C0011881
+42	C0020538	CHEMBL1560	WP4756	1636	C0011881
+43	C0030567	CHEMBL502	WP2355	4790	C0002395
+44	C0030567	CHEMBL502	WP2355	4790	C0026769
+45	C0035579	CHEMBL1536	WP1531	7421	C0020598
+46	C0035579	CHEMBL1536	WP1531	7421	C0020626
+47	C0035579	CHEMBL1536	WP1531	7421	C0029456
+48	C0035579	CHEMBL1536	WP1531	7421	C0029458
+49	C0035579	CHEMBL2356023	WP1531	7421	C0020598
+50	C0035579	CHEMBL2356023	WP1531	7421	C0020626
+51	C0035579	CHEMBL846	WP1531	7421	C0020598
+52	C0035579	CHEMBL846	WP1531	7421	C0020626
+53	C0035579	CHEMBL846	WP1531	7421	C0035086
+54	C0026769	CHEMBL25	WP673	4609	C0003862
+55	C0026769	CHEMBL25	WP673	4609	C0003873
+56	C0026769	CHEMBL25	WP673	4609	C0004153
+57	C0026769	CHEMBL25	WP673	4609	C0004604
+58	C0026769	CHEMBL25	WP673	4609	C0009443
+59	C0026769	CHEMBL25	WP673	4609	C0026764
+60	C0026769	CHEMBL25	WP673	595	C0003862
+61	C0026769	CHEMBL25	WP673	595	C0003873
+62	C0026769	CHEMBL25	WP673	595	C0004153
+63	C0026769	CHEMBL25	WP673	595	C0004604
+64	C0026769	CHEMBL25	WP673	595	C0009443
+65	C0026769	CHEMBL25	WP673	595	C0026764
+66	C0026769	CHEMBL25	WP673	7157	C0003862
+67	C0026769	CHEMBL25	WP673	7157	C0003873
+68	C0026769	CHEMBL25	WP673	7157	C0004153
+69	C0026769	CHEMBL25	WP673	7157	C0004604
+70	C0026769	CHEMBL25	WP673	7157	C0009443
+71	C0026769	CHEMBL25	WP673	7157	C0026764
+72	C0026769	CHEMBL1434	WP673	5601	C0001144
+73	C0026769	CHEMBL1434	WP673	5601	C0001261
+74	C0026769	CHEMBL1434	WP673	5601	C0003175
+75	C0026769	CHEMBL1434	WP673	5601	C0006277
+76	C0026769	CHEMBL1434	WP673	5601	C0006309
+77	C0026769	CHEMBL1434	WP673	5601	C0010674
+78	C0026769	CHEMBL1434	WP673	5601	C0011581
+79	C0026769	CHEMBL1434	WP673	5601	C0018081
+80	C0026769	CHEMBL1434	WP673	5601	C0023860
+81	C0030567	CHEMBL1373	WP2371	6531	C0027404
+82	C0030567	CHEMBL1373	WP2371	6531	C0030193
+83	C0030567	CHEMBL1175	WP2371	6531	C0016053
+0	C0030567	CHEMBL59	WP2371	6531	C0184567
+1	C0030567	CHEMBL59	WP2371	6531	C0242422
+2	C0030567	CHEMBL59	WP2371	6531	C0600177
+3	C0030567	CHEMBL59	WP2371	6531	C1621958
+4	C0020538	CHEMBL1237	WP554	1636	C0027051
+5	C0020538	CHEMBL1237	WP554	5972	C0027051
+6	C0020538	CHEMBL1237	WP4756	1636	C0027051
+7	C0020538	CHEMBL1237	WP4756	5972	C0027051
+8	C0020538	CHEMBL1581	WP554	1636	C0028754
+9	C0020538	CHEMBL1581	WP4756	1636	C0028754
+10	C0020538	CHEMBL1168	WP554	1636	C0038454
+11	C0020538	CHEMBL1168	WP4756	1636	C0038454
+12	C0020538	CHEMBL1017	WP554	185	C0038454
+13	C0020538	CHEMBL1017	WP4756	185	C0038454
+14	C0035579	CHEMBL1042	WP1531	7421	C0036337
+15	C0035579	CHEMBL1042	WP1531	7421	C0036341
+16	C0035579	CHEMBL1042	WP1531	7421	C0042870
+17	C0030567	CHEMBL1201203	WP2371	6531	C0242422
+18	C0020538	CHEMBL611	WP554	7040	C1739363
+19	C0002892	CHEMBL2110563	WP1533	4548	C0042847
+20	C0002892	CHEMBL2110563	WP1533	4548	C0162316
+21	C0002892	CHEMBL2103737	WP1533	4548	C0006114
+22	C0002892	CHEMBL2103737	WP1533	4548	C0033860
+23	C0002892	CHEMBL2103737	WP1533	4548	C0042847
+24	C0035579	CHEMBL1040	WP1531	7421	C0085682
+25	C0030567	CHEMBL1201236	WP2371	1644	C0184567
+26	C0030567	CHEMBL1201236	WP2371	1644	C0242422
+27	C0002395	CHEMBL502	WP2355	4790	C0026769
+28	C0002395	CHEMBL502	WP2355	4790	C0030567
+29	C0002395	CHEMBL502	WP2355	4790	C0036341
+30	C0002395	CHEMBL502	WP2355	4790	C0497327
+31	C0030567	CHEMBL502	WP2355	4790	C0036341
+32	C0030567	CHEMBL502	WP2355	4790	C0497327
+33	C0035579	CHEMBL1536	WP1531	7421	C0042870
+34	C0035579	CHEMBL1536	WP1531	7421	C3536984
+35	C0035579	CHEMBL2356023	WP1531	7421	C0039621
+36	C0035579	CHEMBL2356023	WP1531	7421	C0085682
+37	C0035579	CHEMBL846	WP1531	7421	C0042870
+38	C0035579	CHEMBL846	WP1531	7421	C0085682
+39	C0035579	CHEMBL846	WP1531	7421	C1527383
+40	C0026769	CHEMBL25	WP673	4609	C0027051
+41	C0026769	CHEMBL25	WP673	4609	C0029408
+42	C0026769	CHEMBL25	WP673	4609	C0030193
+43	C0026769	CHEMBL25	WP673	4609	C0032463
+44	C0026769	CHEMBL25	WP673	4609	C0040460
+45	C0026769	CHEMBL25	WP673	4609	C0149931
+46	C0026769	CHEMBL25	WP673	4609	C0393735
+47	C0026769	CHEMBL25	WP673	4609	C0948089
+48	C0026769	CHEMBL25	WP673	595	C0027051
+49	C0026769	CHEMBL25	WP673	595	C0029408
+50	C0026769	CHEMBL25	WP673	595	C0030193
+51	C0026769	CHEMBL25	WP673	595	C0032463
+52	C0026769	CHEMBL25	WP673	595	C0040460
+53	C0026769	CHEMBL25	WP673	595	C0149931
+54	C0026769	CHEMBL25	WP673	595	C0393735
+55	C0026769	CHEMBL25	WP673	595	C0948089
+56	C0026769	CHEMBL25	WP673	7157	C0027051
+57	C0026769	CHEMBL25	WP673	7157	C0029408
+58	C0026769	CHEMBL25	WP673	7157	C0030193
+59	C0026769	CHEMBL25	WP673	7157	C0032463
+60	C0026769	CHEMBL25	WP673	7157	C0040460
+61	C0026769	CHEMBL25	WP673	7157	C0149931
+62	C0026769	CHEMBL25	WP673	7157	C0393735
+63	C0026769	CHEMBL25	WP673	7157	C0948089
+64	C0026769	CHEMBL1434	WP673	5601	C0031099
+65	C0026769	CHEMBL1434	WP673	5601	C0031350
+66	C0026769	CHEMBL1434	WP673	5601	C0032064
+67	C0026769	CHEMBL1434	WP673	5601	C0032285
+68	C0026769	CHEMBL1434	WP673	5601	C0034362
+69	C0026769	CHEMBL1434	WP673	5601	C0035854
+70	C0026769	CHEMBL1434	WP673	5601	C0037199
+71	C0026769	CHEMBL1434	WP673	5601	C0039128
+72	C0026769	CHEMBL1434	WP673	5601	C0042029
+73	C0025202	CHEMBL1229517	WP4685	673	C0026764
+74	C0030567	CHEMBL1373	WP2371	6531	C0036341
+75	C0030567	CHEMBL1373	WP2371	6531	C1269683
+76	C0030567	CHEMBL1175	WP2371	6531	C0036341
+77	C0030567	CHEMBL1175	WP2371	6531	C0497327
+78	C0030567	CHEMBL1175	WP2371	6531	C1269683
diff --git a/Data/Input/DISNET/drug_atc.tsv b/Data/Input/DISNET/drug_atc.tsv
new file mode 100644
index 0000000000000000000000000000000000000000..203749117a45d998baebdd739f8591e32f0a8692
--- /dev/null
+++ b/Data/Input/DISNET/drug_atc.tsv
@@ -0,0 +1,2251 @@
+	drug_id	ATC_code_id	ATC_LEVEL
+0	CHEMBL370805	N01BC01	N
+1	CHEMBL370805	R02AD03	R
+2	CHEMBL370805	S01HA01	S
+3	CHEMBL370805	S02DA02	S
+4	CHEMBL578	C09AA02	C
+5	CHEMBL64	J04AC01	J
+6	CHEMBL64	J04AC51	J
+7	CHEMBL86	A03FA01	A
+8	CHEMBL1123	A03AA07	A
+9	CHEMBL1139	B01AC09	B
+10	CHEMBL1466	B01AA01	B
+11	CHEMBL185	L01BC02	L
+12	CHEMBL185	L01BC52	L
+13	CHEMBL34259	L01BA01	L
+14	CHEMBL34259	L04AX03	L
+15	CHEMBL411	G03CB02	G
+16	CHEMBL411	G03CC05	G
+17	CHEMBL411	L02AA01	L
+18	CHEMBL469	M01AB15	M
+19	CHEMBL469	S01BC05	S
+20	CHEMBL485	N02AA59	N
+21	CHEMBL485	N02AA79	N
+22	CHEMBL485	R05DA04	R
+23	CHEMBL553025	L01CA04	L
+24	CHEMBL607	N02AB02	N
+25	CHEMBL607	N02AB52	N
+26	CHEMBL607	N02AB72	N
+27	CHEMBL679	A01AD01	A
+28	CHEMBL679	B02BC09	B
+29	CHEMBL679	C01CA24	C
+30	CHEMBL679	R01AA14	R
+31	CHEMBL679	R03AA01	R
+32	CHEMBL679	R03AK01	R
+33	CHEMBL679	S01EA01	S
+34	CHEMBL679	S01EA51	S
+35	CHEMBL80	A06AH04	A
+36	CHEMBL80	V03AB15	V
+37	CHEMBL15770	M01AB02	M
+38	CHEMBL83	L02BA01	L
+39	CHEMBL100116	N02AD01	N
+40	CHEMBL101	M01AA01	M
+41	CHEMBL101	M02AA01	M
+42	CHEMBL1024	L01AA06	L
+43	CHEMBL1029	A16AX06	A
+44	CHEMBL103	G03DA04	G
+45	CHEMBL1043	D10AX05	D
+46	CHEMBL1043	J04BA02	J
+47	CHEMBL107	M04AC01	M
+48	CHEMBL1082	J01CA04	J
+49	CHEMBL109	N03AG01	N
+50	CHEMBL112	N02BE01	N
+51	CHEMBL112	N02BE51	N
+52	CHEMBL112	N02BE71	N
+53	CHEMBL115	J05AE02	J
+54	CHEMBL1177	N06BA05	N
+55	CHEMBL1200455	V08AB02	V
+56	CHEMBL1200539	A02AC01	A
+57	CHEMBL1200539	A12AA04	A
+58	CHEMBL1200624	G03DC06	G
+59	CHEMBL1200679	B05XA12	B
+60	CHEMBL1200826	N05AN01	N
+61	CHEMBL1200939	B05XA04	B
+62	CHEMBL1200939	G04BA01	G
+63	CHEMBL1201129	L01BC08	L
+64	CHEMBL1201201	N06BA03	N
+65	CHEMBL1201220	V08AA01	V
+66	CHEMBL1201222	N06BA12	N
+67	CHEMBL1201291	V08AB03	V
+68	CHEMBL1201314	J05AB14	J
+69	CHEMBL1201356	G02AB01	G
+70	CHEMBL1201513	B01AB01	B
+71	CHEMBL1201513	B01AB51	B
+72	CHEMBL1201513	C05BA03	C
+73	CHEMBL1201513	C05BA53	C
+74	CHEMBL1201513	S01XA14	S
+75	CHEMBL1237044	N02AX02	N
+76	CHEMBL1242	G04BX06	G
+77	CHEMBL1282	D06BB10	D
+78	CHEMBL129	J05AF01	J
+79	CHEMBL1292	J04BA01	J
+80	CHEMBL1296	J01DC07	J
+81	CHEMBL1311	C01DA14	C
+82	CHEMBL1328	V04CG04	V
+83	CHEMBL1336	L01XE05	L
+84	CHEMBL1351	L01XA02	L
+85	CHEMBL135400	N05CF01	N
+86	CHEMBL137	A01AB17	A
+87	CHEMBL137	D06BX01	D
+88	CHEMBL137	G01AF01	G
+89	CHEMBL137	J01XD01	J
+90	CHEMBL137	P01AB01	P
+91	CHEMBL137	P01AB51	P
+92	CHEMBL1389	G03AC03	G
+93	CHEMBL1389	G03AD01	G
+94	CHEMBL139	D11AX18	D
+95	CHEMBL139	M01AB05	M
+96	CHEMBL139	M01AB55	M
+97	CHEMBL139	M02AA15	M
+98	CHEMBL139	S01BC03	S
+99	CHEMBL1397	J02AC04	J
+100	CHEMBL1401	P01AX11	P
+101	CHEMBL141	J05AF05	J
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+108	CHEMBL1447	J01FF02	J
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+111	CHEMBL1491	C08CA01	C
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+116	CHEMBL159	L01CA01	L
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+118	CHEMBL1591	J01AA01	J
+119	CHEMBL1595	N02AA08	N
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+121	CHEMBL16	N03AB02	N
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+123	CHEMBL161	J01DD04	J
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+125	CHEMBL163	J05AE03	J
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+276229	CHEMBL437	D06BA02	D
+276230	CHEMBL437	J01EB07	J
+282544	CHEMBL1661	A06AD12	A
+285463	CHEMBL1540	D06BB06	D
+285464	CHEMBL1540	J05AB13	J
+287996	CHEMBL1191	B05CA04	B
+287997	CHEMBL1191	D06BA04	D
+287998	CHEMBL1191	J01EB02	J
+287999	CHEMBL1191	S01AB01	S
+288997	CHEMBL502835	L01XE31	L
+289819	CHEMBL2023898	J05AP07	J
+289875	CHEMBL3137312	J05AP09	J
+289995	CHEMBL501849	J05AP05	J
+293811	CHEMBL1089221	M02AA11	M
+293812	CHEMBL1089221	S01BC07	S
+295361	CHEMBL1201837	B06AC03	B
+298078	CHEMBL22097	N05CD06	N
+306847	CHEMBL2106123	A12AA13	A
+306864	CHEMBL2356023	A11CC02	A
+320144	CHEMBL75435	M01AE17	M
+320145	CHEMBL75435	M02AA27	M
+320750	CHEMBL1180725	A03AB05	A
+320795	CHEMBL1200592	H02AA03	H
+321126	CHEMBL1463345	C03DA03	C
+321284	CHEMBL1752	R03DA01	R
+321285	CHEMBL1752	R03DA51	R
+321542	CHEMBL37390	R03DA03	R
+321782	CHEMBL517199	C03BA10	C
+330405	CHEMBL942	A06AB02	A
+330406	CHEMBL942	A06AB52	A
+330407	CHEMBL942	A06AG02	A
+330665	CHEMBL1755	C03XA02	C
+331379	CHEMBL258918	G03BB01	G
+332449	CHEMBL3833339	V03AB22	V
+332967	CHEMBL829	R06AD01	R
+345240	CHEMBL1200472	N05CD10	N
+346827	CHEMBL282052	N05CM01	N
+346828	CHEMBL282052	N05CX02	N
+349957	CHEMBL3301675	A06AX04	A
+351571	CHEMBL1201117	M03BA03	M
+351572	CHEMBL1201117	M03BA53	M
+351573	CHEMBL1201117	M03BA73	M
+352759	CHEMBL87992	N03AF04	N
+352788	CHEMBL918	N03AX07	N
+359849	CHEMBL1201075	V08AB12	V
+359928	CHEMBL1256841	N06AF02	N
+359942	CHEMBL1266	R01AA06	R
+359943	CHEMBL1266	R01AB03	R
+359944	CHEMBL1266	S01GA02	S
+359945	CHEMBL1266	S01GA52	S
+359973	CHEMBL1305	R01AC04	R
+359974	CHEMBL1305	R06AX05	R
+359993	CHEMBL1331216	A03BA03	A
+360532	CHEMBL438	D06BA06	D
+360533	CHEMBL438	J01ED07	J
+360645	CHEMBL524004	A03AB12	A
+360757	CHEMBL607710	D01AE07	D
+361895	CHEMBL404422	N05CA03	N
+365009	CHEMBL1599	J01DB08	J
+401564	CHEMBL376488	J04AK05	J
+425665	CHEMBL1201550	L01XX29	L
+456447	CHEMBL1201286	A03AB03	A
+456448	CHEMBL1201286	A03AB53	A
+456974	CHEMBL398440	D08AE05	D
+459038	CHEMBL249837	J01AA05	J
+468149	CHEMBL1200647	G01AA04	G
+468240	CHEMBL1289601	L01XE29	L
+482508	CHEMBL1201567	L03AA02	L
+506610	CHEMBL1374379	R05DB01	R
+508279	CHEMBL314437	N02AX05	N
+509035	CHEMBL1201109	D07AB08	D
+509036	CHEMBL1201109	S01BA11	S
+547931	CHEMBL1201670	L03AA09	L
+547938	CHEMBL1201748	L01CD04	L
+548388	CHEMBL2107816	V10XX03	V
+578924	CHEMBL1201421	S01LA03	S
+587267	CHEMBL435966	P01AB06	P
+616589	CHEMBL1688530	J01XA05	J
+647928	CHEMBL447629	L01AX01	L
+648422	CHEMBL229128	M03BX06	M
+651566	CHEMBL218650	J04AK06	J
+660959	CHEMBL1619785	J01CA15	J
+684112	CHEMBL2103929	J01AA04	J
+703907	CHEMBL3301669	J01XA04	J
+755601	CHEMBL354077	N07XX05	N
+774261	CHEMBL1480987	C04AX01	C
+781123	CHEMBL1200640	B03AA02	B
+781124	CHEMBL1200640	B03AD02	B
+791316	CHEMBL1200862	C02KB01	C
+792289	CHEMBL94394	M01AB17	M
+792290	CHEMBL94394	M02AA09	M
+832291	CHEMBL1201688	S01AD08	S
+889106	CHEMBL2111107	V03AB35	V
+953451	CHEMBL514800	L04AA32	L
+979602	CHEMBL54976	N06AX02	N
+1535290	CHEMBL1200457	V08CA06	V
+1594326	CHEMBL1201191	R06AE09	R
diff --git a/Data/Input/DISNET/heatmap_target_final_triples.xlsx b/Data/Input/DISNET/heatmap_target_final_triples.xlsx
new file mode 100644
index 0000000000000000000000000000000000000000..8fa4fc555dba8dd998f4ac292b973053ee51201e
Binary files /dev/null and b/Data/Input/DISNET/heatmap_target_final_triples.xlsx differ
diff --git a/Data/Input/DISNET/score_gdas_csbj.tsv b/Data/Input/DISNET/score_gdas_csbj.tsv
new file mode 100644
index 0000000000000000000000000000000000000000..56e09c8bbc86750b5a85e40230d1cd678042cb85
--- /dev/null
+++ b/Data/Input/DISNET/score_gdas_csbj.tsv
@@ -0,0 +1,2 @@
+	disease_id	gene_id	score	drug_id
+575	C0002395	1636	0.6	CHEMBL1581
diff --git a/Data/Input/DISNET/score_gdas_csbj_target_filtergen.tsv b/Data/Input/DISNET/score_gdas_csbj_target_filtergen.tsv
new file mode 100644
index 0000000000000000000000000000000000000000..c4169053d38af983fd2cc1d025e37578e876d2f5
--- /dev/null
+++ b/Data/Input/DISNET/score_gdas_csbj_target_filtergen.tsv
@@ -0,0 +1,128 @@
+	disease_id	gene_id	score	drug_id	Original Condition	New Condition	New Condition CUI	Drugs
+0	C0030567	6532	0.04	CHEMBL641	Parkinson Disease	ADHD	C1263846	ATOMOXETINE
+1	C0030567	6532	0.04	CHEMBL641	Parkinson Disease	ADHD	C1263846	ATOMOXETINE
+2	C0030567	6532	0.04	CHEMBL641	Parkinson Disease	ADHD	C1263846	ATOMOXETINE
+3	C0030567	6532	0.04	CHEMBL641	Parkinson Disease	ADHD	C1263846	ATOMOXETINE
+4	C0030567	6532	0.04	CHEMBL641	Parkinson Disease	ADHD	C1263846	ATOMOXETINE
+5	C0006142	2099	0.9	CHEMBL81	Breast cancer	Osteoporosis	C0029456	RALOXIFENE
+6	C0006142	2099	0.9	CHEMBL81	Breast cancer	Osteoporosis	C1962963	RALOXIFENE
+7	C0006142	2099	0.9	CHEMBL81	Breast cancer	Osteoporosis	C2911643	RALOXIFENE
+8	C0006142	2099	0.9	CHEMBL81	Breast cancer	Osteoporosis	C4554622	RALOXIFENE
+9	C0376358	2099	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C0029456	RALOXIFENE
+10	C0376358	2099	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C1962963	RALOXIFENE
+11	C0376358	2099	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C2911643	RALOXIFENE
+12	C0376358	2099	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C4554622	RALOXIFENE
+13	C0376358	2099	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C0029456	RALOXIFENE
+14	C0376358	2099	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C1962963	RALOXIFENE
+15	C0376358	2099	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C2911643	RALOXIFENE
+16	C0376358	2099	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C4554622	RALOXIFENE
+17	C0376358	2099	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C0029456	RALOXIFENE
+18	C0376358	2099	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C1962963	RALOXIFENE
+19	C0376358	2099	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C2911643	RALOXIFENE
+20	C0376358	2099	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C4554622	RALOXIFENE
+21	C0376358	2099	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C0029456	RALOXIFENE
+22	C0376358	2099	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C1962963	RALOXIFENE
+23	C0376358	2099	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C2911643	RALOXIFENE
+24	C0376358	2099	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C4554622	RALOXIFENE
+25	C0003873	5743	0.4	CHEMBL118	Rheumatoid Arthritis	Familial adenomatous polyposis	C0032580	CELECOXIB
+26	C0003873	5743	0.4	CHEMBL118	Rheumatoid Arthritis	Colon cancer	C0007102	CELECOXIB
+27	C0003873	5743	0.4	CHEMBL118	Rheumatoid Arthritis	Colon cancer	C0346629	CELECOXIB
+28	C0003873	5743	0.4	CHEMBL118	Rheumatoid Arthritis	Colon cancer	C0699790	CELECOXIB
+29	C0003873	5743	0.4	CHEMBL118	Rheumatoid Arthritis	Colorectal cancer	C0009402	CELECOXIB
+30	C0003873	5743	0.4	CHEMBL118	Rheumatoid Arthritis	Colorectal cancer	C2984278	CELECOXIB
+31	C0003873	5743	0.4	CHEMBL118	Rheumatoid Arthritis	Colorectal cancer	C3542412	CELECOXIB
+32	C0003873	5743	0.4	CHEMBL118	Rheumatoid Arthritis	Colorectal cancer	C4722085	CELECOXIB
+33	C0003873	5743	0.4	CHEMBL118	Rheumatoid Arthritis	Lung cancer	C0242379	CELECOXIB
+34	C0003873	5743	0.4	CHEMBL118	Rheumatoid Arthritis	Lung cancer	C0684249	CELECOXIB
+35	C0003873	5743	0.4	CHEMBL118	Rheumatoid Arthritis	Lung cancer	C1306460	CELECOXIB
+36	C0003873	5743	0.4	CHEMBL118	Rheumatoid Arthritis	Breast cancer	C0006142	CELECOXIB
+37	C0003873	5743	0.4	CHEMBL118	Rheumatoid Arthritis	Breast cancer	C0678222	CELECOXIB
+38	C0003873	5743	0.4	CHEMBL118	Rheumatoid Arthritis	Breast cancer	C3897071	CELECOXIB
+39	C0003873	196	0.37	CHEMBL960	Rheumatoid arthritis	Prostate cancer	C0376358	LEFLUNOMIDE
+40	C0003873	196	0.37	CHEMBL960	Rheumatoid arthritis	Prostate cancer	C0600139	LEFLUNOMIDE
+41	C0003873	196	0.37	CHEMBL960	Rheumatoid arthritis	Prostate cancer	C2984325	LEFLUNOMIDE
+42	C0003873	196	0.37	CHEMBL960	Rheumatoid arthritis	Prostate cancer	C3541264	LEFLUNOMIDE
+43	C0006142	2100	0.4	CHEMBL81	Breast cancer	Osteoporosis	C0029456	RALOXIFENE
+44	C0006142	2100	0.4	CHEMBL81	Breast cancer	Osteoporosis	C1962963	RALOXIFENE
+45	C0006142	2100	0.4	CHEMBL81	Breast cancer	Osteoporosis	C2911643	RALOXIFENE
+46	C0006142	2100	0.4	CHEMBL81	Breast cancer	Osteoporosis	C4554622	RALOXIFENE
+47	C0376358	2100	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C0029456	RALOXIFENE
+48	C0376358	2100	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C1962963	RALOXIFENE
+49	C0376358	2100	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C2911643	RALOXIFENE
+50	C0376358	2100	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C4554622	RALOXIFENE
+51	C0376358	2100	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C0029456	RALOXIFENE
+52	C0376358	2100	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C1962963	RALOXIFENE
+53	C0376358	2100	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C2911643	RALOXIFENE
+54	C0376358	2100	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C4554622	RALOXIFENE
+55	C0376358	2100	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C0029456	RALOXIFENE
+56	C0376358	2100	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C1962963	RALOXIFENE
+57	C0376358	2100	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C2911643	RALOXIFENE
+58	C0376358	2100	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C4554622	RALOXIFENE
+59	C0376358	2100	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C0029456	RALOXIFENE
+60	C0376358	2100	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C1962963	RALOXIFENE
+61	C0376358	2100	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C2911643	RALOXIFENE
+62	C0376358	2100	0.4	CHEMBL81	Prostate cancer	Osteoporosis	C4554622	RALOXIFENE
+63	C0003873	2185	0.03	CHEMBL960	Rheumatoid arthritis	Prostate cancer	C0376358	LEFLUNOMIDE
+64	C0003873	2185	0.03	CHEMBL960	Rheumatoid arthritis	Prostate cancer	C0600139	LEFLUNOMIDE
+65	C0003873	2185	0.03	CHEMBL960	Rheumatoid arthritis	Prostate cancer	C2984325	LEFLUNOMIDE
+66	C0003873	2185	0.03	CHEMBL960	Rheumatoid arthritis	Prostate cancer	C3541264	LEFLUNOMIDE
+67	C0003873	2214	0.1	CHEMBL1201572	Rheumatoid arthritis	Asthma	C0004096	ETANERCEPT
+68	C0003873	2214	0.1	CHEMBL1201572	Rheumatoid arthritis	Asthma	C2984299	ETANERCEPT
+69	C0003873	2212	0.4	CHEMBL1201572	Rheumatoid arthritis	Asthma	C0004096	ETANERCEPT
+70	C0003873	2212	0.4	CHEMBL1201572	Rheumatoid arthritis	Asthma	C2984299	ETANERCEPT
+71	C0003873	4049	0.06	CHEMBL1201572	Rheumatoid arthritis	Asthma	C0004096	ETANERCEPT
+72	C0003873	4049	0.06	CHEMBL1201572	Rheumatoid arthritis	Asthma	C2984299	ETANERCEPT
+73	C0003873	3551	0.02	CHEMBL1366	Rheumatoid arthritis	Gastrointestinal stromal tumor	C0238198	AURANOFIN
+74	C0003873	2215	0.1	CHEMBL1201572	Rheumatoid arthritis	Asthma	C0004096	ETANERCEPT
+75	C0003873	2215	0.1	CHEMBL1201572	Rheumatoid arthritis	Asthma	C2984299	ETANERCEPT
+76	C0030567	6530	0.03	CHEMBL641	Parkinson Disease	ADHD	C1263846	ATOMOXETINE
+77	C0030567	6530	0.03	CHEMBL641	Parkinson Disease	ADHD	C1263846	ATOMOXETINE
+78	C0030567	6530	0.03	CHEMBL641	Parkinson Disease	ADHD	C1263846	ATOMOXETINE
+79	C0030567	6530	0.03	CHEMBL641	Parkinson Disease	ADHD	C1263846	ATOMOXETINE
+80	C0030567	6530	0.03	CHEMBL641	Parkinson Disease	ADHD	C1263846	ATOMOXETINE
+81	C0030567	1814	0.1	CHEMBL53	Parkinson Disease	Erectile dysfunction	C0242350	APOMORPHINE
+82	C0030567	1814	0.1	CHEMBL53	Parkinson Disease	Erectile dysfunction	C1961100	APOMORPHINE
+83	C0030567	1814	0.1	CHEMBL53	Parkinson Disease	Erectile dysfunction	C0242350	APOMORPHINE
+84	C0030567	1814	0.1	CHEMBL53	Parkinson Disease	Erectile dysfunction	C1961100	APOMORPHINE
+85	C0030567	1814	0.1	CHEMBL53	Parkinson Disease	Erectile dysfunction	C0242350	APOMORPHINE
+86	C0030567	1814	0.1	CHEMBL53	Parkinson Disease	Erectile dysfunction	C1961100	APOMORPHINE
+87	C0030567	1814	0.1	CHEMBL53	Parkinson Disease	Erectile dysfunction	C0242350	APOMORPHINE
+88	C0030567	1814	0.1	CHEMBL53	Parkinson Disease	Erectile dysfunction	C1961100	APOMORPHINE
+89	C0030567	1814	0.1	CHEMBL53	Parkinson Disease	Erectile dysfunction	C0242350	APOMORPHINE
+90	C0030567	1814	0.1	CHEMBL53	Parkinson Disease	Erectile dysfunction	C1961100	APOMORPHINE
+91	C0030567	1812	0.52	CHEMBL53	Parkinson Disease	Erectile dysfunction	C0242350	APOMORPHINE
+92	C0030567	1812	0.52	CHEMBL53	Parkinson Disease	Erectile dysfunction	C1961100	APOMORPHINE
+93	C0030567	1812	0.52	CHEMBL53	Parkinson Disease	Erectile dysfunction	C0242350	APOMORPHINE
+94	C0030567	1812	0.52	CHEMBL53	Parkinson Disease	Erectile dysfunction	C1961100	APOMORPHINE
+95	C0030567	1812	0.52	CHEMBL53	Parkinson Disease	Erectile dysfunction	C0242350	APOMORPHINE
+96	C0030567	1812	0.52	CHEMBL53	Parkinson Disease	Erectile dysfunction	C1961100	APOMORPHINE
+97	C0030567	1812	0.52	CHEMBL53	Parkinson Disease	Erectile dysfunction	C0242350	APOMORPHINE
+98	C0030567	1812	0.52	CHEMBL53	Parkinson Disease	Erectile dysfunction	C1961100	APOMORPHINE
+99	C0030567	1812	0.52	CHEMBL53	Parkinson Disease	Erectile dysfunction	C0242350	APOMORPHINE
+100	C0030567	1812	0.52	CHEMBL53	Parkinson Disease	Erectile dysfunction	C1961100	APOMORPHINE
+101	C0030567	1815	0.04	CHEMBL53	Parkinson Disease	Erectile dysfunction	C0242350	APOMORPHINE
+102	C0030567	1815	0.04	CHEMBL53	Parkinson Disease	Erectile dysfunction	C1961100	APOMORPHINE
+103	C0030567	1815	0.04	CHEMBL53	Parkinson Disease	Erectile dysfunction	C0242350	APOMORPHINE
+104	C0030567	1815	0.04	CHEMBL53	Parkinson Disease	Erectile dysfunction	C1961100	APOMORPHINE
+105	C0030567	1815	0.04	CHEMBL53	Parkinson Disease	Erectile dysfunction	C0242350	APOMORPHINE
+106	C0030567	1815	0.04	CHEMBL53	Parkinson Disease	Erectile dysfunction	C1961100	APOMORPHINE
+107	C0030567	1815	0.04	CHEMBL53	Parkinson Disease	Erectile dysfunction	C0242350	APOMORPHINE
+108	C0030567	1815	0.04	CHEMBL53	Parkinson Disease	Erectile dysfunction	C1961100	APOMORPHINE
+109	C0030567	1815	0.04	CHEMBL53	Parkinson Disease	Erectile dysfunction	C0242350	APOMORPHINE
+110	C0030567	1815	0.04	CHEMBL53	Parkinson Disease	Erectile dysfunction	C1961100	APOMORPHINE
+111	C0030567	3350	0.22	CHEMBL53	Parkinson Disease	Erectile dysfunction	C0242350	APOMORPHINE
+112	C0030567	3350	0.22	CHEMBL53	Parkinson Disease	Erectile dysfunction	C1961100	APOMORPHINE
+113	C0030567	3350	0.22	CHEMBL53	Parkinson Disease	Erectile dysfunction	C0242350	APOMORPHINE
+114	C0030567	3350	0.22	CHEMBL53	Parkinson Disease	Erectile dysfunction	C1961100	APOMORPHINE
+115	C0030567	3350	0.22	CHEMBL53	Parkinson Disease	Erectile dysfunction	C0242350	APOMORPHINE
+116	C0030567	3350	0.22	CHEMBL53	Parkinson Disease	Erectile dysfunction	C1961100	APOMORPHINE
+117	C0030567	3350	0.22	CHEMBL53	Parkinson Disease	Erectile dysfunction	C0242350	APOMORPHINE
+118	C0030567	3350	0.22	CHEMBL53	Parkinson Disease	Erectile dysfunction	C1961100	APOMORPHINE
+119	C0030567	3350	0.22	CHEMBL53	Parkinson Disease	Erectile dysfunction	C0242350	APOMORPHINE
+120	C0030567	3350	0.22	CHEMBL53	Parkinson Disease	Erectile dysfunction	C1961100	APOMORPHINE
+121	C0003873	1723	0.02	CHEMBL960	Rheumatoid arthritis	Prostate cancer	C0376358	LEFLUNOMIDE
+122	C0003873	1723	0.02	CHEMBL960	Rheumatoid arthritis	Prostate cancer	C0600139	LEFLUNOMIDE
+123	C0003873	1723	0.02	CHEMBL960	Rheumatoid arthritis	Prostate cancer	C2984325	LEFLUNOMIDE
+124	C0003873	1723	0.02	CHEMBL960	Rheumatoid arthritis	Prostate cancer	C3541264	LEFLUNOMIDE
+125	C0003873	2209	0.02	CHEMBL1201572	Rheumatoid arthritis	Asthma	C0004096	ETANERCEPT
+126	C0003873	2209	0.02	CHEMBL1201572	Rheumatoid arthritis	Asthma	C2984299	ETANERCEPT
diff --git a/Data/Input/DISNET/score_gdas_one_repodb.tsv b/Data/Input/DISNET/score_gdas_one_repodb.tsv
new file mode 100644
index 0000000000000000000000000000000000000000..46f71b1cc476df5e152b7e3b5c6222853123e2f9
--- /dev/null
+++ b/Data/Input/DISNET/score_gdas_one_repodb.tsv
@@ -0,0 +1,176 @@
+	drug_id	disease_id	gene_id	score
+0	CHEMBL1513	C0004238	185	0.03
+1	CHEMBL1513	C0004238	185	0.03
+2	CHEMBL1513	C0011881	185	0.1
+3	CHEMBL1513	C0011881	185	0.1
+4	CHEMBL1168	C0004238	1636	0.4
+5	CHEMBL1168	C0004238	1636	0.4
+6	CHEMBL191	C0011881	185	0.1
+7	CHEMBL191	C0011881	185	0.1
+8	CHEMBL1560	C0011881	1636	0.4
+9	CHEMBL1560	C0011881	1636	0.4
+10	CHEMBL1560	C0011881	4313	0.03
+11	CHEMBL1560	C0011881	4313	0.03
+12	CHEMBL1560	C0011881	4318	0.08
+13	CHEMBL1560	C0011881	4318	0.08
+14	CHEMBL59	C0020649	1812	0.3
+15	CHEMBL59	C0020649	1813	0.3
+16	CHEMBL1434	C0010674	836	0.02
+17	CHEMBL1434	C0010674	3553	0.1
+18	CHEMBL1434	C0011581	3553	0.4
+19	CHEMBL1434	C0010674	4318	0.03
+20	CHEMBL1434	C0010674	4843	0.1
+21	CHEMBL1434	C0011581	4843	0.33
+22	CHEMBL1434	C0010674	7422	0.03
+23	CHEMBL1434	C0011581	7422	0.37
+24	CHEMBL1393	C0020428	1585	0.4
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+119	CHEMBL25	C0003873	5742	0.34
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diff --git a/Data/Input/DISNET/score_gdas_repodb_target_final.tsv b/Data/Input/DISNET/score_gdas_repodb_target_final.tsv
new file mode 100644
index 0000000000000000000000000000000000000000..e00fea7c31bf2ec2814707c6ece6941ceac40c73
--- /dev/null
+++ b/Data/Input/DISNET/score_gdas_repodb_target_final.tsv
@@ -0,0 +1,7775 @@
+	disease_id	drug_id	gene_id	score	disease_new
+0	C0007134	CHEMBL1908360	2475	0.5	C0003873
+1	C0007134	CHEMBL1908360	2475	0.5	C0004153
+2	C0007134	CHEMBL1908360	2475	0.5	C0006413
+3	C0007134	CHEMBL1908360	2475	0.5	C0007131
+4	C0007134	CHEMBL1908360	2475	0.5	C0007137
+5	C0007134	CHEMBL1908360	2475	0.5	C0007138
+6	C0007134	CHEMBL1908360	2475	0.5	C0020459
+7	C0007134	CHEMBL1908360	2475	0.5	C0021670
+8	C0007134	CHEMBL1908360	2475	0.5	C0026764
+9	C0007134	CHEMBL1908360	2475	0.5	C0027819
+10	C0007134	CHEMBL1908360	2475	0.5	C0030807
+11	C0007134	CHEMBL1908360	2475	0.5	C0041341
+12	C0007134	CHEMBL1908360	2475	0.5	C0334634
+13	C0007134	CHEMBL1908360	2475	0.5	C0678222
+14	C0007134	CHEMBL1908360	2475	0.5	C1621958
+15	C0027819	CHEMBL1908360	2475	0.06	C0003873
+16	C0027819	CHEMBL1908360	2475	0.06	C0004153
+17	C0027819	CHEMBL1908360	2475	0.06	C0006413
+18	C0027819	CHEMBL1908360	2475	0.06	C0007131
+19	C0027819	CHEMBL1908360	2475	0.06	C0007134
+20	C0027819	CHEMBL1908360	2475	0.06	C0007137
+21	C0027819	CHEMBL1908360	2475	0.06	C0007138
+22	C0027819	CHEMBL1908360	2475	0.06	C0020459
+23	C0027819	CHEMBL1908360	2475	0.06	C0021670
+24	C0027819	CHEMBL1908360	2475	0.06	C0026764
+25	C0027819	CHEMBL1908360	2475	0.06	C0030807
+26	C0027819	CHEMBL1908360	2475	0.06	C0041341
+27	C0027819	CHEMBL1908360	2475	0.06	C0334634
+28	C0027819	CHEMBL1908360	2475	0.06	C0678222
+29	C0027819	CHEMBL1908360	2475	0.06	C1621958
+30	C0007134	CHEMBL413	2475	0.5	C0003873
+31	C0007134	CHEMBL413	2475	0.5	C0004153
+32	C0007134	CHEMBL413	2475	0.5	C0006413
+33	C0007134	CHEMBL413	2475	0.5	C0007131
+34	C0007134	CHEMBL413	2475	0.5	C0007137
+35	C0007134	CHEMBL413	2475	0.5	C0007138
+36	C0007134	CHEMBL413	2475	0.5	C0020459
+37	C0007134	CHEMBL413	2475	0.5	C0021670
+38	C0007134	CHEMBL413	2475	0.5	C0026764
+39	C0007134	CHEMBL413	2475	0.5	C0027819
+40	C0007134	CHEMBL413	2475	0.5	C0030807
+41	C0007134	CHEMBL413	2475	0.5	C0334634
+42	C0007134	CHEMBL413	2475	0.5	C1621958
+43	C0027819	CHEMBL413	2475	0.06	C0003873
+44	C0027819	CHEMBL413	2475	0.06	C0004153
+45	C0027819	CHEMBL413	2475	0.06	C0006413
+46	C0027819	CHEMBL413	2475	0.06	C0007131
+47	C0027819	CHEMBL413	2475	0.06	C0007134
+48	C0027819	CHEMBL413	2475	0.06	C0007137
+49	C0027819	CHEMBL413	2475	0.06	C0007138
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+51	C0027819	CHEMBL413	2475	0.06	C0021670
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+53	C0027819	CHEMBL413	2475	0.06	C0030807
+54	C0027819	CHEMBL413	2475	0.06	C0334634
+55	C0027819	CHEMBL413	2475	0.06	C1621958
+56	C0007134	CHEMBL1201182	2475	0.5	C0334634
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+3394	C0030567	CHEMBL1009	1815	0.04	C1621958
+3395	C0030567	CHEMBL589	1815	0.04	C0035258
+3396	C0030567	CHEMBL1303	1815	0.04	C0035258
+3397	C0030567	CHEMBL59	1621	0.06	C0001206
+3398	C0030567	CHEMBL59	1621	0.06	C0020649
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+3404	C0030567	CHEMBL59	1814	0.1	C0001206
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+3411	C0030567	CHEMBL301265	1814	0.1	C0002736
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+3417	C0030567	CHEMBL219916	1814	0.1	C0017168
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+3431	C0030567	CHEMBL1201203	6531	0.6	C0015371
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+3469	C0030567	CHEMBL301265	3350	0.22	C0002736
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+3483	C0030567	CHEMBL1201203	6530	0.03	C0015371
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+3493	C0020538	CHEMBL945	6338	0.5	C0013604
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+3497	C0020538	CHEMBL945	6340	0.49	C0013604
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+3500	C0020538	CHEMBL945	6337	0.35	C0013604
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+3707	C0036341	CHEMBL1112	3363	0.36	C0036337
+3709	C0036341	CHEMBL1112	3363	0.36	C0497327
+3711	C0036341	CHEMBL1112	3363	0.36	C1263846
+3713	C0036341	CHEMBL1237021	3363	0.36	C0005587
+3714	C0036341	CHEMBL1237021	3363	0.36	C1269683
+3715	C0036341	CHEMBL71	3363	0.36	C0012734
+3716	C0036341	CHEMBL71	3363	0.36	C0033975
+3717	C0036341	CHEMBL71	3363	0.36	C0162565
+3718	C0036341	CHEMBL629	3363	0.36	C0011581
+3719	C0036341	CHEMBL629	3363	0.36	C0030193
+3720	C0036341	CHEMBL629	3363	0.36	C0149931
+3721	C0036341	CHEMBL629	3363	0.36	C0497327
+3722	C0036341	CHEMBL629	3363	0.36	C0917801
+3723	C0036341	CHEMBL11	3363	0.36	C0011581
+3724	C0036341	CHEMBL11	3363	0.36	C0270327
+3725	C0036341	CHEMBL11	3363	0.36	C0497327
+3726	C0036341	CHEMBL21731	3363	0.36	C0011581
+3727	C0036341	CHEMBL21731	3363	0.36	C0497327
+3728	C0036341	CHEMBL908	3363	0.36	C0497327
+3729	C0036341	CHEMBL42	3363	0.36	C0497327
+3730	C0036341	CHEMBL243712	3363	0.36	C0497327
+3731	C0036341	CHEMBL243712	3363	0.36	C0520909
+3732	C0036341	CHEMBL6437	3363	0.36	C0497327
+3733	C0036341	CHEMBL6437	3363	0.36	C1269683
+3734	C0036341	CHEMBL831	6531	0.4	C0005586
+3735	C0005586	CHEMBL831	6531	0.4	C0036341
+3736	C0036341	CHEMBL1112	6531	0.4	C0004352
+3737	C0036341	CHEMBL1112	6531	0.4	C0005586
+3738	C0036341	CHEMBL1112	6531	0.4	C0036337
+3739	C0036341	CHEMBL1112	6531	0.4	C0497327
+3740	C0036341	CHEMBL1112	6531	0.4	C1263846
+3741	C0005586	CHEMBL1112	6531	0.4	C0004352
+3742	C0005586	CHEMBL1112	6531	0.4	C0036337
+3743	C0005586	CHEMBL1112	6531	0.4	C0036341
+3744	C0005586	CHEMBL1112	6531	0.4	C0497327
+3745	C0005586	CHEMBL1112	6531	0.4	C1263846
+3746	C0036341	CHEMBL809	6531	0.4	C0001973
+3748	C0036341	CHEMBL809	6531	0.4	C0009186
+3750	C0036341	CHEMBL809	6531	0.4	C0010414
+3752	C0036341	CHEMBL809	6531	0.4	C0011581
+3754	C0036341	CHEMBL809	6531	0.4	C0028768
+3756	C0036341	CHEMBL809	6531	0.4	C0030319
+3758	C0036341	CHEMBL809	6531	0.4	C0038436
+3760	C0036341	CHEMBL809	6531	0.4	C0497327
+3762	C0036341	CHEMBL809	6531	0.4	C0917801
+3764	C0036341	CHEMBL809	6531	0.4	C1269683
+3766	C0028768	CHEMBL809	6531	0.03	C0001973
+3768	C0028768	CHEMBL809	6531	0.03	C0009186
+3770	C0028768	CHEMBL809	6531	0.03	C0010414
+3772	C0028768	CHEMBL809	6531	0.03	C0011581
+3774	C0028768	CHEMBL809	6531	0.03	C0030319
+3776	C0028768	CHEMBL809	6531	0.03	C0036341
+3778	C0028768	CHEMBL809	6531	0.03	C0038436
+3780	C0028768	CHEMBL809	6531	0.03	C0497327
+3782	C0028768	CHEMBL809	6531	0.03	C0917801
+3784	C0028768	CHEMBL809	6531	0.03	C1269683
+3786	C0038436	CHEMBL809	6531	0.03	C0001973
+3788	C0038436	CHEMBL809	6531	0.03	C0009186
+3790	C0038436	CHEMBL809	6531	0.03	C0010414
+3792	C0038436	CHEMBL809	6531	0.03	C0011581
+3794	C0038436	CHEMBL809	6531	0.03	C0028768
+3796	C0038436	CHEMBL809	6531	0.03	C0030319
+3798	C0038436	CHEMBL809	6531	0.03	C0036341
+3800	C0038436	CHEMBL809	6531	0.03	C0497327
+3802	C0038436	CHEMBL809	6531	0.03	C0917801
+3804	C0038436	CHEMBL809	6531	0.03	C1269683
+3806	C0036341	CHEMBL637	6531	0.4	C0030319
+3807	C0036341	CHEMBL637	6531	0.4	C0497327
+3808	C0036341	CHEMBL637	6531	0.4	C1269683
+3809	C0036341	CHEMBL894	6531	0.4	C0011581
+3810	C0036341	CHEMBL894	6531	0.4	C0028043
+3811	C0036341	CHEMBL894	6531	0.4	C0028754
+3812	C0036341	CHEMBL894	6531	0.4	C0085159
+3813	C0036341	CHEMBL894	6531	0.4	C0497327
+3814	C0036341	CHEMBL894	6531	0.4	C1269683
+3815	C0028754	CHEMBL894	6531	0.02	C0011581
+3816	C0028754	CHEMBL894	6531	0.02	C0028043
+3817	C0028754	CHEMBL894	6531	0.02	C0036341
+3818	C0028754	CHEMBL894	6531	0.02	C0085159
+3819	C0028754	CHEMBL894	6531	0.02	C0497327
+3820	C0028754	CHEMBL894	6531	0.02	C1269683
+3821	C0036341	CHEMBL11	6531	0.4	C0011581
+3822	C0036341	CHEMBL11	6531	0.4	C0270327
+3823	C0036341	CHEMBL11	6531	0.4	C0497327
+3824	C0036341	CHEMBL644	6531	0.4	C0011581
+3825	C0036341	CHEMBL644	6531	0.4	C0497327
+3826	C0036341	CHEMBL6437	6531	0.4	C0497327
+3827	C0036341	CHEMBL6437	6531	0.4	C1269683
+3828	C0036341	CHEMBL831	150	0.34	C0005586
+3829	C0036341	CHEMBL716	150	0.34	C0003125
+3830	C0036341	CHEMBL716	150	0.34	C0005586
+3831	C0036341	CHEMBL716	150	0.34	C0005587
+3832	C0036341	CHEMBL716	150	0.34	C0036337
+3833	C0036341	CHEMBL716	150	0.34	C0497327
+3834	C0036341	CHEMBL716	150	0.34	C1269683
+3835	C0036341	CHEMBL1112	150	0.34	C0004352
+3836	C0036341	CHEMBL1112	150	0.34	C0005586
+3837	C0036341	CHEMBL1112	150	0.34	C0036337
+3838	C0036341	CHEMBL1112	150	0.34	C0497327
+3839	C0036341	CHEMBL1112	150	0.34	C1263846
+3840	C0036341	CHEMBL1621	150	0.34	C0033975
+3841	C0036341	CHEMBL1621	150	0.34	C0036337
+3842	C0036341	CHEMBL1621	150	0.34	C0497327
+3843	C0036341	CHEMBL741	150	0.34	C0005586
+3844	C0036341	CHEMBL741	150	0.34	C0014544
+3845	C0036341	CHEMBL741	150	0.34	C0234974
+3846	C0036341	CHEMBL741	150	0.34	C0494475
+3847	C0036341	CHEMBL741	150	0.34	C0497327
+3848	C0036341	CHEMBL629	150	0.34	C0011581
+3850	C0036341	CHEMBL629	150	0.34	C0030193
+3852	C0036341	CHEMBL629	150	0.34	C0149931
+3854	C0036341	CHEMBL629	150	0.34	C0497327
+3856	C0036341	CHEMBL629	150	0.34	C0917801
+3858	C0036341	CHEMBL644	150	0.34	C0011581
+3859	C0036341	CHEMBL644	150	0.34	C0497327
+3860	C0036341	CHEMBL42	150	0.34	C0497327
+3861	C0036341	CHEMBL1764	150	0.34	C0497327
+3862	C0036341	CHEMBL6437	150	0.34	C0497327
+3863	C0036341	CHEMBL6437	150	0.34	C1269683
+3864	C0036341	CHEMBL654	150	0.34	C0497327
+3865	C0036341	CHEMBL654	150	0.34	C1269683
+3866	C0036341	CHEMBL621	150	0.34	C0497327
+3867	C0036341	CHEMBL621	150	0.34	C1269683
+3868	C0036341	CHEMBL831	1129	0.31	C0005586
+3869	C0005586	CHEMBL831	1129	0.31	C0036341
+3870	C0036341	CHEMBL715	1129	0.31	C0005586
+3871	C0036341	CHEMBL715	1129	0.31	C0005587
+3872	C0036341	CHEMBL715	1129	0.31	C0027497
+3873	C0036341	CHEMBL715	1129	0.31	C0036337
+3874	C0036341	CHEMBL715	1129	0.31	C0497327
+3875	C0036341	CHEMBL715	1129	0.31	C1269683
+3876	C0005586	CHEMBL715	1129	0.31	C0005587
+3877	C0005586	CHEMBL715	1129	0.31	C0027497
+3878	C0005586	CHEMBL715	1129	0.31	C0036337
+3879	C0005586	CHEMBL715	1129	0.31	C0036341
+3880	C0005586	CHEMBL715	1129	0.31	C0497327
+3881	C0005586	CHEMBL715	1129	0.31	C1269683
+3882	C0036341	CHEMBL716	1129	0.31	C0003125
+3883	C0036341	CHEMBL716	1129	0.31	C0005586
+3884	C0036341	CHEMBL716	1129	0.31	C0005587
+3885	C0036341	CHEMBL716	1129	0.31	C0036337
+3886	C0036341	CHEMBL716	1129	0.31	C0497327
+3887	C0036341	CHEMBL716	1129	0.31	C1269683
+3888	C0005586	CHEMBL716	1129	0.31	C0003125
+3889	C0005586	CHEMBL716	1129	0.31	C0005587
+3890	C0005586	CHEMBL716	1129	0.31	C0036337
+3891	C0005586	CHEMBL716	1129	0.31	C0036341
+3892	C0005586	CHEMBL716	1129	0.31	C0497327
+3893	C0005586	CHEMBL716	1129	0.31	C1269683
+3894	C0036341	CHEMBL1112	1129	0.31	C0004352
+3895	C0036341	CHEMBL1112	1129	0.31	C0005586
+3896	C0036341	CHEMBL1112	1129	0.31	C0036337
+3897	C0036341	CHEMBL1112	1129	0.31	C0497327
+3898	C0036341	CHEMBL1112	1129	0.31	C1263846
+3899	C0005586	CHEMBL1112	1129	0.31	C0004352
+3900	C0005586	CHEMBL1112	1129	0.31	C0036337
+3901	C0005586	CHEMBL1112	1129	0.31	C0036341
+3902	C0005586	CHEMBL1112	1129	0.31	C0497327
+3903	C0005586	CHEMBL1112	1129	0.31	C1263846
+3904	C0036341	CHEMBL643	1129	0.31	C0009766
+3905	C0036341	CHEMBL643	1129	0.31	C0010200
+3906	C0036341	CHEMBL643	1129	0.31	C0011615
+3907	C0036341	CHEMBL643	1129	0.31	C0018621
+3908	C0036341	CHEMBL643	1129	0.31	C0027497
+3909	C0036341	CHEMBL643	1129	0.31	C0030305
+3910	C0036341	CHEMBL643	1129	0.31	C0035455
+3911	C0036341	CHEMBL643	1129	0.31	C0042109
+3912	C0036341	CHEMBL643	1129	0.31	C0042963
+3913	C0036341	CHEMBL643	1129	0.31	C0497327
+3914	C0036341	CHEMBL657	1129	0.31	C0009766
+3915	C0036341	CHEMBL657	1129	0.31	C0010200
+3916	C0036341	CHEMBL657	1129	0.31	C0011615
+3917	C0036341	CHEMBL657	1129	0.31	C0018621
+3918	C0036341	CHEMBL657	1129	0.31	C0027497
+3919	C0036341	CHEMBL657	1129	0.31	C0030305
+3920	C0036341	CHEMBL657	1129	0.31	C0035455
+3921	C0036341	CHEMBL657	1129	0.31	C0042963
+3922	C0036341	CHEMBL657	1129	0.31	C0497327
+3923	C0036341	CHEMBL657	1129	0.31	C0917801
+3924	C0036341	CHEMBL11	1129	0.31	C0011581
+3925	C0036341	CHEMBL11	1129	0.31	C0270327
+3926	C0036341	CHEMBL11	1129	0.31	C0497327
+3927	C0036341	CHEMBL21731	1129	0.31	C0011581
+3928	C0036341	CHEMBL21731	1129	0.31	C0497327
+3929	C0036341	CHEMBL1628227	1129	0.31	C0005587
+3930	C0036341	CHEMBL1628227	1129	0.31	C0011581
+3931	C0036341	CHEMBL1628227	1129	0.31	C0011615
+3932	C0036341	CHEMBL1628227	1129	0.31	C0033774
+3933	C0036341	CHEMBL1628227	1129	0.31	C0149922
+3934	C0036341	CHEMBL1628227	1129	0.31	C0497327
+3935	C0036341	CHEMBL1628227	1129	0.31	C0917801
+3936	C0036341	CHEMBL908	1129	0.31	C0497327
+3937	C0036341	CHEMBL42	1129	0.31	C0497327
+3938	C0036341	CHEMBL1764	1129	0.31	C0497327
+3939	C0036341	CHEMBL831	3350	0.4	C0005586
+3940	C0005586	CHEMBL831	3350	0.34	C0036341
+3941	C0036341	CHEMBL716	3350	0.4	C0003125
+3943	C0036341	CHEMBL716	3350	0.4	C0005586
+3945	C0036341	CHEMBL716	3350	0.4	C0005587
+3947	C0036341	CHEMBL716	3350	0.4	C0036337
+3949	C0036341	CHEMBL716	3350	0.4	C0497327
+3951	C0036341	CHEMBL716	3350	0.4	C1269683
+3953	C0005587	CHEMBL716	3350	0.32	C0003125
+3955	C0005587	CHEMBL716	3350	0.32	C0005586
+3957	C0005587	CHEMBL716	3350	0.32	C0036337
+3959	C0005587	CHEMBL716	3350	0.32	C0036341
+3961	C0005587	CHEMBL716	3350	0.32	C0497327
+3963	C0005587	CHEMBL716	3350	0.32	C1269683
+3965	C0005586	CHEMBL716	3350	0.34	C0003125
+3967	C0005586	CHEMBL716	3350	0.34	C0005587
+3969	C0005586	CHEMBL716	3350	0.34	C0036337
+3971	C0005586	CHEMBL716	3350	0.34	C0036341
+3973	C0005586	CHEMBL716	3350	0.34	C0497327
+3975	C0005586	CHEMBL716	3350	0.34	C1269683
+3977	C0036341	CHEMBL85	3350	0.4	C0002395
+3978	C0036341	CHEMBL85	3350	0.4	C0004352
+3979	C0036341	CHEMBL85	3350	0.4	C0030319
+3980	C0036341	CHEMBL85	3350	0.4	C0036337
+3981	C0036341	CHEMBL85	3350	0.4	C0497327
+3982	C0002395	CHEMBL85	3350	0.02	C0004352
+3983	C0002395	CHEMBL85	3350	0.02	C0030319
+3984	C0002395	CHEMBL85	3350	0.02	C0036337
+3985	C0002395	CHEMBL85	3350	0.02	C0036341
+3986	C0002395	CHEMBL85	3350	0.02	C0497327
+3987	C0036341	CHEMBL1112	3350	0.4	C0004352
+3988	C0036341	CHEMBL1112	3350	0.4	C0005586
+3989	C0036341	CHEMBL1112	3350	0.4	C0036337
+3990	C0036341	CHEMBL1112	3350	0.4	C0497327
+3991	C0036341	CHEMBL1112	3350	0.4	C1263846
+3992	C0005586	CHEMBL1112	3350	0.34	C0004352
+3993	C0005586	CHEMBL1112	3350	0.34	C0036337
+3994	C0005586	CHEMBL1112	3350	0.34	C0036341
+3995	C0005586	CHEMBL1112	3350	0.34	C0497327
+3996	C0005586	CHEMBL1112	3350	0.34	C1263846
+3997	C0036341	CHEMBL1621	3350	0.4	C0033975
+3998	C0036341	CHEMBL1621	3350	0.4	C0036337
+3999	C0036341	CHEMBL1621	3350	0.4	C0497327
+4000	C0036341	CHEMBL1237021	3350	0.4	C0005587
+4001	C0036341	CHEMBL1237021	3350	0.4	C1269683
+4002	C0005587	CHEMBL1237021	3350	0.32	C0036341
+4003	C0005587	CHEMBL1237021	3350	0.32	C1269683
+4004	C0036341	CHEMBL71	3350	0.4	C0012734
+4005	C0036341	CHEMBL71	3350	0.4	C0033975
+4006	C0036341	CHEMBL71	3350	0.4	C0162565
+4007	C0036341	CHEMBL46	3350	0.4	C0001973
+4009	C0036341	CHEMBL46	3350	0.4	C0027497
+4011	C0036341	CHEMBL46	3350	0.4	C0028768
+4013	C0036341	CHEMBL46	3350	0.4	C0042963
+4015	C0036341	CHEMBL49	3350	0.4	C0003469
+4016	C0036341	CHEMBL49	3350	0.4	C0014544
+4017	C0036341	CHEMBL49	3350	0.4	C0018801
+4018	C0036341	CHEMBL49	3350	0.4	C0497327
+4019	C0003469	CHEMBL49	3350	0.3	C0014544
+4020	C0003469	CHEMBL49	3350	0.3	C0018801
+4021	C0003469	CHEMBL49	3350	0.3	C0036341
+4022	C0003469	CHEMBL49	3350	0.3	C0497327
+4023	C0036341	CHEMBL629	3350	0.4	C0011581
+4025	C0036341	CHEMBL629	3350	0.4	C0030193
+4027	C0036341	CHEMBL629	3350	0.4	C0149931
+4029	C0036341	CHEMBL629	3350	0.4	C0497327
+4031	C0036341	CHEMBL629	3350	0.4	C0917801
+4033	C0036341	CHEMBL11	3350	0.4	C0011581
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+4035	C0036341	CHEMBL11	3350	0.4	C0497327
+4036	C0036341	CHEMBL445	3350	0.4	C0011581
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+4038	C0036341	CHEMBL644	3350	0.4	C0011581
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+4040	C0036341	CHEMBL1628227	3350	0.4	C0005587
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+4043	C0036341	CHEMBL1628227	3350	0.4	C0033774
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+4045	C0036341	CHEMBL1628227	3350	0.4	C0497327
+4046	C0036341	CHEMBL1628227	3350	0.4	C0917801
+4047	C0005587	CHEMBL1628227	3350	0.32	C0011581
+4048	C0005587	CHEMBL1628227	3350	0.32	C0011615
+4049	C0005587	CHEMBL1628227	3350	0.32	C0033774
+4050	C0005587	CHEMBL1628227	3350	0.32	C0036341
+4051	C0005587	CHEMBL1628227	3350	0.32	C0149922
+4052	C0005587	CHEMBL1628227	3350	0.32	C0497327
+4053	C0005587	CHEMBL1628227	3350	0.32	C0917801
+4054	C0036341	CHEMBL2105760	3350	0.4	C1269683
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+4056	C0036341	CHEMBL6437	3350	0.4	C0497327
+4057	C0036341	CHEMBL6437	3350	0.4	C1269683
+4058	C0036341	CHEMBL621	3350	0.4	C0497327
+4060	C0036341	CHEMBL621	3350	0.4	C1269683
+4062	C0036341	CHEMBL831	3351	0.02	C0005586
+4063	C0005586	CHEMBL831	3351	0.31	C0036341
+4064	C0036341	CHEMBL716	3351	0.02	C0003125
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+4067	C0036341	CHEMBL716	3351	0.02	C0036337
+4068	C0036341	CHEMBL716	3351	0.02	C0497327
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+4071	C0005586	CHEMBL716	3351	0.31	C0005587
+4072	C0005586	CHEMBL716	3351	0.31	C0036337
+4073	C0005586	CHEMBL716	3351	0.31	C0036341
+4074	C0005586	CHEMBL716	3351	0.31	C0497327
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+4076	C0036341	CHEMBL1112	3351	0.02	C0004352
+4078	C0036341	CHEMBL1112	3351	0.02	C0005586
+4080	C0036341	CHEMBL1112	3351	0.02	C0036337
+4082	C0036341	CHEMBL1112	3351	0.02	C0497327
+4084	C0036341	CHEMBL1112	3351	0.02	C1263846
+4086	C0005586	CHEMBL1112	3351	0.31	C0004352
+4088	C0005586	CHEMBL1112	3351	0.31	C0036337
+4090	C0005586	CHEMBL1112	3351	0.31	C0036341
+4092	C0005586	CHEMBL1112	3351	0.31	C0497327
+4094	C0005586	CHEMBL1112	3351	0.31	C1263846
+4096	C0036341	CHEMBL46	3351	0.02	C0001973
+4098	C0036341	CHEMBL46	3351	0.02	C0027497
+4100	C0036341	CHEMBL46	3351	0.02	C0028768
+4102	C0036341	CHEMBL46	3351	0.02	C0042963
+4104	C0028768	CHEMBL46	3351	0.05	C0001973
+4106	C0028768	CHEMBL46	3351	0.05	C0027497
+4108	C0028768	CHEMBL46	3351	0.05	C0036341
+4110	C0028768	CHEMBL46	3351	0.05	C0042963
+4112	C0036341	CHEMBL629	3351	0.02	C0011581
+4113	C0036341	CHEMBL629	3351	0.02	C0030193
+4114	C0036341	CHEMBL629	3351	0.02	C0149931
+4115	C0036341	CHEMBL629	3351	0.02	C0497327
+4116	C0036341	CHEMBL629	3351	0.02	C0917801
+4117	C0036341	CHEMBL42	3351	0.02	C0497327
+4118	C0036341	CHEMBL831	3358	0.4	C0005586
+4119	C0005586	CHEMBL831	3358	0.39	C0036341
+4120	C0036341	CHEMBL715	3358	0.4	C0005586
+4121	C0036341	CHEMBL715	3358	0.4	C0005587
+4122	C0036341	CHEMBL715	3358	0.4	C0027497
+4123	C0036341	CHEMBL715	3358	0.4	C0036337
+4124	C0036341	CHEMBL715	3358	0.4	C0497327
+4125	C0036341	CHEMBL715	3358	0.4	C1269683
+4126	C0005586	CHEMBL715	3358	0.39	C0005587
+4127	C0005586	CHEMBL715	3358	0.39	C0027497
+4128	C0005586	CHEMBL715	3358	0.39	C0036337
+4129	C0005586	CHEMBL715	3358	0.39	C0036341
+4130	C0005586	CHEMBL715	3358	0.39	C0497327
+4131	C0005586	CHEMBL715	3358	0.39	C1269683
+4132	C0036341	CHEMBL716	3358	0.4	C0003125
+4133	C0036341	CHEMBL716	3358	0.4	C0005586
+4134	C0036341	CHEMBL716	3358	0.4	C0005587
+4135	C0036341	CHEMBL716	3358	0.4	C0036337
+4136	C0036341	CHEMBL716	3358	0.4	C0497327
+4137	C0036341	CHEMBL716	3358	0.4	C1269683
+4138	C0005586	CHEMBL716	3358	0.39	C0003125
+4139	C0005586	CHEMBL716	3358	0.39	C0005587
+4140	C0005586	CHEMBL716	3358	0.39	C0036337
+4141	C0005586	CHEMBL716	3358	0.39	C0036341
+4142	C0005586	CHEMBL716	3358	0.39	C0497327
+4143	C0005586	CHEMBL716	3358	0.39	C1269683
+4144	C0036341	CHEMBL85	3358	0.4	C0002395
+4145	C0036341	CHEMBL85	3358	0.4	C0004352
+4146	C0036341	CHEMBL85	3358	0.4	C0030319
+4147	C0036341	CHEMBL85	3358	0.4	C0036337
+4148	C0036341	CHEMBL85	3358	0.4	C0497327
+4149	C0002395	CHEMBL85	3358	0.02	C0004352
+4150	C0002395	CHEMBL85	3358	0.02	C0030319
+4151	C0002395	CHEMBL85	3358	0.02	C0036337
+4152	C0002395	CHEMBL85	3358	0.02	C0036341
+4153	C0002395	CHEMBL85	3358	0.02	C0497327
+4154	C0036341	CHEMBL1112	3358	0.4	C0004352
+4156	C0036341	CHEMBL1112	3358	0.4	C0005586
+4158	C0036341	CHEMBL1112	3358	0.4	C0036337
+4160	C0036341	CHEMBL1112	3358	0.4	C0497327
+4162	C0036341	CHEMBL1112	3358	0.4	C1263846
+4164	C0005586	CHEMBL1112	3358	0.39	C0004352
+4166	C0005586	CHEMBL1112	3358	0.39	C0036337
+4168	C0005586	CHEMBL1112	3358	0.39	C0036341
+4170	C0005586	CHEMBL1112	3358	0.39	C0497327
+4172	C0005586	CHEMBL1112	3358	0.39	C1263846
+4174	C0036341	CHEMBL1621	3358	0.4	C0033975
+4175	C0036341	CHEMBL1621	3358	0.4	C0036337
+4176	C0036341	CHEMBL1621	3358	0.4	C0497327
+4177	C0036341	CHEMBL71	3358	0.4	C0012734
+4178	C0036341	CHEMBL71	3358	0.4	C0033975
+4179	C0036341	CHEMBL71	3358	0.4	C0162565
+4180	C0036341	CHEMBL564	3358	0.4	C0002994
+4181	C0036341	CHEMBL564	3358	0.4	C0009766
+4182	C0036341	CHEMBL564	3358	0.4	C0012734
+4183	C0036341	CHEMBL564	3358	0.4	C0027497
+4184	C0036341	CHEMBL564	3358	0.4	C0033774
+4185	C0036341	CHEMBL564	3358	0.4	C0033975
+4186	C0036341	CHEMBL564	3358	0.4	C0037383
+4187	C0036341	CHEMBL564	3358	0.4	C0042109
+4188	C0036341	CHEMBL564	3358	0.4	C0042963
+4189	C0036341	CHEMBL564	3358	0.4	C0162565
+4190	C0036341	CHEMBL564	3358	0.4	C2607914
+4191	C0036341	CHEMBL41	3358	0.4	C0005586
+4192	C0036341	CHEMBL41	3358	0.4	C0005587
+4193	C0036341	CHEMBL41	3358	0.4	C0011581
+4194	C0036341	CHEMBL41	3358	0.4	C0028768
+4195	C0036341	CHEMBL41	3358	0.4	C0030319
+4196	C0036341	CHEMBL41	3358	0.4	C0497327
+4197	C0036341	CHEMBL41	3358	0.4	C1269683
+4198	C0036341	CHEMBL41	3358	0.4	C2267227
+4199	C0005586	CHEMBL41	3358	0.39	C0005587
+4200	C0005586	CHEMBL41	3358	0.39	C0011581
+4201	C0005586	CHEMBL41	3358	0.39	C0028768
+4202	C0005586	CHEMBL41	3358	0.39	C0030319
+4203	C0005586	CHEMBL41	3358	0.39	C0036341
+4204	C0005586	CHEMBL41	3358	0.39	C0497327
+4205	C0005586	CHEMBL41	3358	0.39	C1269683
+4206	C0005586	CHEMBL41	3358	0.39	C2267227
+4207	C0036341	CHEMBL629	3358	0.4	C0011581
+4208	C0036341	CHEMBL629	3358	0.4	C0030193
+4209	C0036341	CHEMBL629	3358	0.4	C0149931
+4210	C0036341	CHEMBL629	3358	0.4	C0497327
+4211	C0036341	CHEMBL629	3358	0.4	C0917801
+4212	C0036341	CHEMBL11	3358	0.4	C0011581
+4214	C0036341	CHEMBL11	3358	0.4	C0270327
+4216	C0036341	CHEMBL11	3358	0.4	C0497327
+4218	C0036341	CHEMBL445	3358	0.4	C0011581
+4220	C0036341	CHEMBL445	3358	0.4	C0497327
+4222	C0036341	CHEMBL415	3358	0.4	C0028768
+4223	C0036341	CHEMBL415	3358	0.4	C0497327
+4224	C0036341	CHEMBL21731	3358	0.4	C0011581
+4225	C0036341	CHEMBL21731	3358	0.4	C0497327
+4226	C0036341	CHEMBL644	3358	0.4	C0011581
+4227	C0036341	CHEMBL644	3358	0.4	C0497327
+4228	C0036341	CHEMBL1628227	3358	0.4	C0005587
+4229	C0036341	CHEMBL1628227	3358	0.4	C0011581
+4230	C0036341	CHEMBL1628227	3358	0.4	C0011615
+4231	C0036341	CHEMBL1628227	3358	0.4	C0033774
+4232	C0036341	CHEMBL1628227	3358	0.4	C0149922
+4233	C0036341	CHEMBL1628227	3358	0.4	C0497327
+4234	C0036341	CHEMBL1628227	3358	0.4	C0917801
+4235	C0036341	CHEMBL908	3358	0.4	C0497327
+4236	C0036341	CHEMBL42	3358	0.4	C0497327
+4237	C0036341	CHEMBL1764	3358	0.4	C0497327
+4238	C0036341	CHEMBL6437	3358	0.4	C0497327
+4239	C0036341	CHEMBL6437	3358	0.4	C1269683
+4240	C0036341	CHEMBL654	3358	0.4	C0497327
+4241	C0036341	CHEMBL654	3358	0.4	C1269683
+4242	C0036341	CHEMBL479	3358	0.4	C0497327
+4243	C0036341	CHEMBL621	3358	0.4	C0497327
+4244	C0036341	CHEMBL621	3358	0.4	C1269683
+4245	C0036341	CHEMBL831	6530	0.34	C0005586
+4246	C0005586	CHEMBL831	6530	0.33	C0036341
+4247	C0036341	CHEMBL490	6530	0.34	C0011581
+4248	C0036341	CHEMBL490	6530	0.34	C0028768
+4249	C0036341	CHEMBL490	6530	0.34	C0030319
+4250	C0036341	CHEMBL490	6530	0.34	C0038436
+4251	C0036341	CHEMBL490	6530	0.34	C0497327
+4252	C0036341	CHEMBL490	6530	0.34	C0600142
+4253	C0036341	CHEMBL490	6530	0.34	C1269683
+4254	C0036341	CHEMBL809	6530	0.34	C0001973
+4256	C0036341	CHEMBL809	6530	0.34	C0009186
+4258	C0036341	CHEMBL809	6530	0.34	C0010414
+4260	C0036341	CHEMBL809	6530	0.34	C0011581
+4262	C0036341	CHEMBL809	6530	0.34	C0028768
+4264	C0036341	CHEMBL809	6530	0.34	C0030319
+4266	C0036341	CHEMBL809	6530	0.34	C0038436
+4268	C0036341	CHEMBL809	6530	0.34	C0497327
+4270	C0036341	CHEMBL809	6530	0.34	C0917801
+4272	C0036341	CHEMBL809	6530	0.34	C1269683
+4274	C0036341	CHEMBL14370	6530	0.34	C0016053
+4275	C0036341	CHEMBL14370	6530	0.34	C0030193
+4276	C0036341	CHEMBL14370	6530	0.34	C0497327
+4277	C0036341	CHEMBL14370	6530	0.34	C1263846
+4278	C0036341	CHEMBL14370	6530	0.34	C1269683
+4279	C0036341	CHEMBL637	6530	0.34	C0030319
+4280	C0036341	CHEMBL637	6530	0.34	C0497327
+4281	C0036341	CHEMBL637	6530	0.34	C1269683
+4282	C0036341	CHEMBL894	6530	0.34	C0011581
+4283	C0036341	CHEMBL894	6530	0.34	C0028043
+4284	C0036341	CHEMBL894	6530	0.34	C0028754
+4285	C0036341	CHEMBL894	6530	0.34	C0085159
+4286	C0036341	CHEMBL894	6530	0.34	C0497327
+4287	C0036341	CHEMBL894	6530	0.34	C1269683
+4288	C0036341	CHEMBL629	6530	0.34	C0011581
+4289	C0036341	CHEMBL629	6530	0.34	C0030193
+4290	C0036341	CHEMBL629	6530	0.34	C0149931
+4291	C0036341	CHEMBL629	6530	0.34	C0497327
+4292	C0036341	CHEMBL629	6530	0.34	C0917801
+4293	C0036341	CHEMBL11	6530	0.34	C0011581
+4294	C0036341	CHEMBL11	6530	0.34	C0270327
+4295	C0036341	CHEMBL11	6530	0.34	C0497327
+4296	C0036341	CHEMBL445	6530	0.34	C0011581
+4297	C0036341	CHEMBL445	6530	0.34	C0497327
+4298	C0036341	CHEMBL415	6530	0.34	C0028768
+4299	C0036341	CHEMBL415	6530	0.34	C0497327
+4300	C0036341	CHEMBL641	6530	0.34	C0028043
+4301	C0036341	CHEMBL641	6530	0.34	C1263846
+4302	C0036341	CHEMBL21731	6530	0.34	C0011581
+4303	C0036341	CHEMBL21731	6530	0.34	C0497327
+4304	C0036341	CHEMBL644	6530	0.34	C0011581
+4305	C0036341	CHEMBL644	6530	0.34	C0497327
+4306	C0036341	CHEMBL1628227	6530	0.34	C0005587
+4307	C0036341	CHEMBL1628227	6530	0.34	C0011581
+4308	C0036341	CHEMBL1628227	6530	0.34	C0011615
+4309	C0036341	CHEMBL1628227	6530	0.34	C0033774
+4310	C0036341	CHEMBL1628227	6530	0.34	C0149922
+4311	C0036341	CHEMBL1628227	6530	0.34	C0497327
+4312	C0036341	CHEMBL1628227	6530	0.34	C0917801
+4313	C0036341	CHEMBL6437	6530	0.34	C0497327
+4314	C0036341	CHEMBL6437	6530	0.34	C1269683
+4315	C0036341	CHEMBL831	148	0.39	C0005586
+4316	C0005586	CHEMBL831	148	0.31	C0036341
+4317	C0036341	CHEMBL715	148	0.39	C0005586
+4318	C0036341	CHEMBL715	148	0.39	C0005587
+4319	C0036341	CHEMBL715	148	0.39	C0027497
+4320	C0036341	CHEMBL715	148	0.39	C0036337
+4321	C0036341	CHEMBL715	148	0.39	C0497327
+4322	C0036341	CHEMBL715	148	0.39	C1269683
+4323	C0005586	CHEMBL715	148	0.31	C0005587
+4324	C0005586	CHEMBL715	148	0.31	C0027497
+4325	C0005586	CHEMBL715	148	0.31	C0036337
+4326	C0005586	CHEMBL715	148	0.31	C0036341
+4327	C0005586	CHEMBL715	148	0.31	C0497327
+4328	C0005586	CHEMBL715	148	0.31	C1269683
+4329	C0036341	CHEMBL85	148	0.39	C0002395
+4330	C0036341	CHEMBL85	148	0.39	C0004352
+4331	C0036341	CHEMBL85	148	0.39	C0030319
+4332	C0036341	CHEMBL85	148	0.39	C0036337
+4333	C0036341	CHEMBL85	148	0.39	C0497327
+4334	C0036341	CHEMBL1112	148	0.39	C0004352
+4335	C0036341	CHEMBL1112	148	0.39	C0005586
+4336	C0036341	CHEMBL1112	148	0.39	C0036337
+4337	C0036341	CHEMBL1112	148	0.39	C0497327
+4338	C0036341	CHEMBL1112	148	0.39	C1263846
+4339	C0005586	CHEMBL1112	148	0.31	C0004352
+4340	C0005586	CHEMBL1112	148	0.31	C0036337
+4341	C0005586	CHEMBL1112	148	0.31	C0036341
+4342	C0005586	CHEMBL1112	148	0.31	C0497327
+4343	C0005586	CHEMBL1112	148	0.31	C1263846
+4344	C0036341	CHEMBL1621	148	0.39	C0033975
+4345	C0036341	CHEMBL1621	148	0.39	C0036337
+4346	C0036341	CHEMBL1621	148	0.39	C0497327
+4347	C0036341	CHEMBL71	148	0.39	C0012734
+4348	C0036341	CHEMBL71	148	0.39	C0033975
+4349	C0036341	CHEMBL71	148	0.39	C0162565
+4350	C0036341	CHEMBL564	148	0.39	C0002994
+4351	C0036341	CHEMBL564	148	0.39	C0009766
+4352	C0036341	CHEMBL564	148	0.39	C0012734
+4353	C0036341	CHEMBL564	148	0.39	C0027497
+4354	C0036341	CHEMBL564	148	0.39	C0033774
+4355	C0036341	CHEMBL564	148	0.39	C0033975
+4356	C0036341	CHEMBL564	148	0.39	C0037383
+4357	C0036341	CHEMBL564	148	0.39	C0042109
+4358	C0036341	CHEMBL564	148	0.39	C0042963
+4359	C0036341	CHEMBL564	148	0.39	C0162565
+4360	C0036341	CHEMBL564	148	0.39	C2607914
+4361	C0036341	CHEMBL741	148	0.39	C0005586
+4362	C0036341	CHEMBL741	148	0.39	C0014544
+4363	C0036341	CHEMBL741	148	0.39	C0234974
+4364	C0036341	CHEMBL741	148	0.39	C0494475
+4365	C0036341	CHEMBL741	148	0.39	C0497327
+4366	C0005586	CHEMBL741	148	0.31	C0014544
+4367	C0005586	CHEMBL741	148	0.31	C0036341
+4368	C0005586	CHEMBL741	148	0.31	C0234974
+4369	C0005586	CHEMBL741	148	0.31	C0494475
+4370	C0005586	CHEMBL741	148	0.31	C0497327
+4371	C0036341	CHEMBL629	148	0.39	C0011581
+4373	C0036341	CHEMBL629	148	0.39	C0030193
+4375	C0036341	CHEMBL629	148	0.39	C0149931
+4377	C0036341	CHEMBL629	148	0.39	C0497327
+4379	C0036341	CHEMBL629	148	0.39	C0917801
+4381	C0036341	CHEMBL11	148	0.39	C0011581
+4382	C0036341	CHEMBL11	148	0.39	C0270327
+4383	C0036341	CHEMBL11	148	0.39	C0497327
+4384	C0036341	CHEMBL445	148	0.39	C0011581
+4385	C0036341	CHEMBL445	148	0.39	C0497327
+4386	C0036341	CHEMBL644	148	0.39	C0011581
+4387	C0036341	CHEMBL644	148	0.39	C0497327
+4388	C0036341	CHEMBL1628227	148	0.39	C0005587
+4389	C0036341	CHEMBL1628227	148	0.39	C0011581
+4390	C0036341	CHEMBL1628227	148	0.39	C0011615
+4391	C0036341	CHEMBL1628227	148	0.39	C0033774
+4392	C0036341	CHEMBL1628227	148	0.39	C0149922
+4393	C0036341	CHEMBL1628227	148	0.39	C0497327
+4394	C0036341	CHEMBL1628227	148	0.39	C0917801
+4395	C0036341	CHEMBL42	148	0.39	C0497327
+4396	C0036341	CHEMBL1764	148	0.39	C0497327
+4397	C0036341	CHEMBL479	148	0.39	C0497327
+4398	C0036341	CHEMBL621	148	0.39	C0497327
+4399	C0036341	CHEMBL621	148	0.39	C1269683
+4400	C0036341	CHEMBL1372950	148	0.39	C0497327
+4401	C0036341	CHEMBL831	3362	0.4	C0005586
+4402	C0036341	CHEMBL715	3362	0.4	C0005586
+4403	C0036341	CHEMBL715	3362	0.4	C0005587
+4404	C0036341	CHEMBL715	3362	0.4	C0027497
+4405	C0036341	CHEMBL715	3362	0.4	C0036337
+4406	C0036341	CHEMBL715	3362	0.4	C0497327
+4407	C0036341	CHEMBL715	3362	0.4	C1269683
+4408	C0036341	CHEMBL716	3362	0.4	C0003125
+4409	C0036341	CHEMBL716	3362	0.4	C0005586
+4410	C0036341	CHEMBL716	3362	0.4	C0005587
+4411	C0036341	CHEMBL716	3362	0.4	C0036337
+4412	C0036341	CHEMBL716	3362	0.4	C0497327
+4413	C0036341	CHEMBL716	3362	0.4	C1269683
+4414	C0036341	CHEMBL1112	3362	0.4	C0004352
+4415	C0036341	CHEMBL1112	3362	0.4	C0005586
+4416	C0036341	CHEMBL1112	3362	0.4	C0036337
+4417	C0036341	CHEMBL1112	3362	0.4	C0497327
+4418	C0036341	CHEMBL1112	3362	0.4	C1263846
+4419	C0036341	CHEMBL71	3362	0.4	C0012734
+4420	C0036341	CHEMBL71	3362	0.4	C0033975
+4421	C0036341	CHEMBL71	3362	0.4	C0162565
+4422	C0036341	CHEMBL629	3362	0.4	C0011581
+4423	C0036341	CHEMBL629	3362	0.4	C0030193
+4424	C0036341	CHEMBL629	3362	0.4	C0149931
+4425	C0036341	CHEMBL629	3362	0.4	C0497327
+4426	C0036341	CHEMBL629	3362	0.4	C0917801
+4427	C0036341	CHEMBL11	3362	0.4	C0011581
+4428	C0036341	CHEMBL11	3362	0.4	C0270327
+4429	C0036341	CHEMBL11	3362	0.4	C0497327
+4430	C0036341	CHEMBL1628227	3362	0.4	C0005587
+4431	C0036341	CHEMBL1628227	3362	0.4	C0011581
+4432	C0036341	CHEMBL1628227	3362	0.4	C0011615
+4433	C0036341	CHEMBL1628227	3362	0.4	C0033774
+4434	C0036341	CHEMBL1628227	3362	0.4	C0149922
+4435	C0036341	CHEMBL1628227	3362	0.4	C0497327
+4436	C0036341	CHEMBL1628227	3362	0.4	C0917801
+4437	C0036341	CHEMBL42	3362	0.4	C0497327
+4438	C0036341	CHEMBL6437	3362	0.4	C0497327
+4439	C0036341	CHEMBL6437	3362	0.4	C1269683
+4440	C0036341	CHEMBL831	3269	0.31	C0005586
+4441	C0036341	CHEMBL715	3269	0.31	C0005586
+4442	C0036341	CHEMBL715	3269	0.31	C0005587
+4443	C0036341	CHEMBL715	3269	0.31	C0027497
+4444	C0036341	CHEMBL715	3269	0.31	C0036337
+4445	C0036341	CHEMBL715	3269	0.31	C0497327
+4446	C0036341	CHEMBL715	3269	0.31	C1269683
+4447	C0036341	CHEMBL716	3269	0.31	C0003125
+4448	C0036341	CHEMBL716	3269	0.31	C0005586
+4449	C0036341	CHEMBL716	3269	0.31	C0005587
+4450	C0036341	CHEMBL716	3269	0.31	C0036337
+4451	C0036341	CHEMBL716	3269	0.31	C0497327
+4452	C0036341	CHEMBL716	3269	0.31	C1269683
+4453	C0036341	CHEMBL85	3269	0.31	C0002395
+4454	C0036341	CHEMBL85	3269	0.31	C0004352
+4455	C0036341	CHEMBL85	3269	0.31	C0030319
+4456	C0036341	CHEMBL85	3269	0.31	C0036337
+4457	C0036341	CHEMBL85	3269	0.31	C0497327
+4458	C0036341	CHEMBL1112	3269	0.31	C0004352
+4459	C0036341	CHEMBL1112	3269	0.31	C0005586
+4460	C0036341	CHEMBL1112	3269	0.31	C0036337
+4461	C0036341	CHEMBL1112	3269	0.31	C0497327
+4462	C0036341	CHEMBL1112	3269	0.31	C1263846
+4463	C0036341	CHEMBL1621	3269	0.31	C0033975
+4464	C0036341	CHEMBL1621	3269	0.31	C0036337
+4465	C0036341	CHEMBL1621	3269	0.31	C0497327
+4466	C0036341	CHEMBL71	3269	0.31	C0012734
+4467	C0036341	CHEMBL71	3269	0.31	C0033975
+4468	C0036341	CHEMBL71	3269	0.31	C0162565
+4469	C0036341	CHEMBL564	3269	0.31	C0002994
+4470	C0036341	CHEMBL564	3269	0.31	C0009766
+4471	C0036341	CHEMBL564	3269	0.31	C0012734
+4472	C0036341	CHEMBL564	3269	0.31	C0027497
+4473	C0036341	CHEMBL564	3269	0.31	C0033774
+4474	C0036341	CHEMBL564	3269	0.31	C0033975
+4475	C0036341	CHEMBL564	3269	0.31	C0037383
+4476	C0036341	CHEMBL564	3269	0.31	C0042109
+4477	C0036341	CHEMBL564	3269	0.31	C0042963
+4478	C0036341	CHEMBL564	3269	0.31	C0162565
+4479	C0036341	CHEMBL564	3269	0.31	C2607914
+4480	C0036341	CHEMBL741	3269	0.31	C0005586
+4481	C0036341	CHEMBL741	3269	0.31	C0014544
+4482	C0036341	CHEMBL741	3269	0.31	C0234974
+4483	C0036341	CHEMBL741	3269	0.31	C0494475
+4484	C0036341	CHEMBL741	3269	0.31	C0497327
+4485	C0036341	CHEMBL549	3269	0.31	C0003469
+4486	C0036341	CHEMBL549	3269	0.31	C0011581
+4487	C0036341	CHEMBL549	3269	0.31	C0038436
+4488	C0036341	CHEMBL549	3269	0.31	C0497327
+4489	C0036341	CHEMBL549	3269	0.31	C0917801
+4490	C0036341	CHEMBL549	3269	0.31	C0948089
+4491	C0036341	CHEMBL549	3269	0.31	C1269683
+4492	C0036341	CHEMBL490	3269	0.31	C0011581
+4493	C0036341	CHEMBL490	3269	0.31	C0028768
+4494	C0036341	CHEMBL490	3269	0.31	C0030319
+4495	C0036341	CHEMBL490	3269	0.31	C0038436
+4496	C0036341	CHEMBL490	3269	0.31	C0497327
+4497	C0036341	CHEMBL490	3269	0.31	C0600142
+4498	C0036341	CHEMBL490	3269	0.31	C1269683
+4499	C0036341	CHEMBL643	3269	0.31	C0009766
+4500	C0036341	CHEMBL643	3269	0.31	C0010200
+4501	C0036341	CHEMBL643	3269	0.31	C0011615
+4502	C0036341	CHEMBL643	3269	0.31	C0018621
+4503	C0036341	CHEMBL643	3269	0.31	C0027497
+4504	C0036341	CHEMBL643	3269	0.31	C0030305
+4505	C0036341	CHEMBL643	3269	0.31	C0035455
+4506	C0036341	CHEMBL643	3269	0.31	C0042109
+4507	C0036341	CHEMBL643	3269	0.31	C0042963
+4508	C0036341	CHEMBL643	3269	0.31	C0497327
+4509	C0036341	CHEMBL657	3269	0.31	C0009766
+4510	C0036341	CHEMBL657	3269	0.31	C0010200
+4511	C0036341	CHEMBL657	3269	0.31	C0011615
+4512	C0036341	CHEMBL657	3269	0.31	C0018621
+4513	C0036341	CHEMBL657	3269	0.31	C0027497
+4514	C0036341	CHEMBL657	3269	0.31	C0030305
+4515	C0036341	CHEMBL657	3269	0.31	C0035455
+4516	C0036341	CHEMBL657	3269	0.31	C0042963
+4517	C0036341	CHEMBL657	3269	0.31	C0497327
+4518	C0036341	CHEMBL657	3269	0.31	C0917801
+4519	C0036341	CHEMBL629	3269	0.31	C0011581
+4520	C0036341	CHEMBL629	3269	0.31	C0030193
+4521	C0036341	CHEMBL629	3269	0.31	C0149931
+4522	C0036341	CHEMBL629	3269	0.31	C0497327
+4523	C0036341	CHEMBL629	3269	0.31	C0917801
+4524	C0036341	CHEMBL896	3269	0.31	C0009766
+4525	C0036341	CHEMBL896	3269	0.31	C0011615
+4526	C0036341	CHEMBL896	3269	0.31	C0033774
+4527	C0036341	CHEMBL896	3269	0.31	C0042109
+4528	C0036341	CHEMBL896	3269	0.31	C0497327
+4529	C0036341	CHEMBL896	3269	0.31	C2607914
+4530	C0036341	CHEMBL11	3269	0.31	C0011581
+4531	C0036341	CHEMBL11	3269	0.31	C0270327
+4532	C0036341	CHEMBL11	3269	0.31	C0497327
+4533	C0036341	CHEMBL445	3269	0.31	C0011581
+4534	C0036341	CHEMBL445	3269	0.31	C0497327
+4535	C0036341	CHEMBL21731	3269	0.31	C0011581
+4536	C0036341	CHEMBL21731	3269	0.31	C0497327
+4537	C0036341	CHEMBL644	3269	0.31	C0011581
+4538	C0036341	CHEMBL644	3269	0.31	C0497327
+4539	C0036341	CHEMBL1628227	3269	0.31	C0005587
+4540	C0036341	CHEMBL1628227	3269	0.31	C0011581
+4541	C0036341	CHEMBL1628227	3269	0.31	C0011615
+4542	C0036341	CHEMBL1628227	3269	0.31	C0033774
+4543	C0036341	CHEMBL1628227	3269	0.31	C0149922
+4544	C0036341	CHEMBL1628227	3269	0.31	C0497327
+4545	C0036341	CHEMBL1628227	3269	0.31	C0917801
+4546	C0036341	CHEMBL908	3269	0.31	C0497327
+4547	C0036341	CHEMBL42	3269	0.31	C0497327
+4548	C0036341	CHEMBL1764	3269	0.31	C0497327
+4549	C0036341	CHEMBL6437	3269	0.31	C0497327
+4550	C0036341	CHEMBL6437	3269	0.31	C1269683
+4551	C0036341	CHEMBL654	3269	0.31	C0497327
+4552	C0036341	CHEMBL654	3269	0.31	C1269683
+4553	C0036341	CHEMBL621	3269	0.31	C0497327
+4554	C0036341	CHEMBL621	3269	0.31	C1269683
+4555	C0036341	CHEMBL831	151	0.03	C0005586
+4556	C0036341	CHEMBL716	151	0.03	C0003125
+4557	C0036341	CHEMBL716	151	0.03	C0005586
+4558	C0036341	CHEMBL716	151	0.03	C0005587
+4559	C0036341	CHEMBL716	151	0.03	C0036337
+4560	C0036341	CHEMBL716	151	0.03	C0497327
+4561	C0036341	CHEMBL716	151	0.03	C1269683
+4562	C0036341	CHEMBL85	151	0.03	C0002395
+4563	C0036341	CHEMBL85	151	0.03	C0004352
+4564	C0036341	CHEMBL85	151	0.03	C0030319
+4565	C0036341	CHEMBL85	151	0.03	C0036337
+4566	C0036341	CHEMBL85	151	0.03	C0497327
+4567	C0036341	CHEMBL1112	151	0.03	C0004352
+4569	C0036341	CHEMBL1112	151	0.03	C0005586
+4571	C0036341	CHEMBL1112	151	0.03	C0036337
+4573	C0036341	CHEMBL1112	151	0.03	C0497327
+4575	C0036341	CHEMBL1112	151	0.03	C1263846
+4577	C0036341	CHEMBL1621	151	0.03	C0033975
+4578	C0036341	CHEMBL1621	151	0.03	C0036337
+4579	C0036341	CHEMBL1621	151	0.03	C0497327
+4580	C0036341	CHEMBL644	151	0.03	C0011581
+4582	C0036341	CHEMBL644	151	0.03	C0497327
+4584	C0036341	CHEMBL42	151	0.03	C0497327
+4585	C0036341	CHEMBL1764	151	0.03	C0497327
+4586	C0036341	CHEMBL6437	151	0.03	C0497327
+4587	C0036341	CHEMBL6437	151	0.03	C1269683
+4588	C0036341	CHEMBL831	1128	0.38	C0005586
+4589	C0036341	CHEMBL715	1128	0.38	C0005586
+4590	C0036341	CHEMBL715	1128	0.38	C0005587
+4591	C0036341	CHEMBL715	1128	0.38	C0027497
+4592	C0036341	CHEMBL715	1128	0.38	C0036337
+4593	C0036341	CHEMBL715	1128	0.38	C0497327
+4594	C0036341	CHEMBL715	1128	0.38	C1269683
+4595	C0036341	CHEMBL716	1128	0.38	C0003125
+4596	C0036341	CHEMBL716	1128	0.38	C0005586
+4597	C0036341	CHEMBL716	1128	0.38	C0005587
+4598	C0036341	CHEMBL716	1128	0.38	C0036337
+4599	C0036341	CHEMBL716	1128	0.38	C0497327
+4600	C0036341	CHEMBL716	1128	0.38	C1269683
+4601	C0036341	CHEMBL1112	1128	0.38	C0004352
+4602	C0036341	CHEMBL1112	1128	0.38	C0005586
+4603	C0036341	CHEMBL1112	1128	0.38	C0036337
+4604	C0036341	CHEMBL1112	1128	0.38	C0497327
+4605	C0036341	CHEMBL1112	1128	0.38	C1263846
+4606	C0036341	CHEMBL71	1128	0.38	C0012734
+4607	C0036341	CHEMBL71	1128	0.38	C0033975
+4608	C0036341	CHEMBL71	1128	0.38	C0162565
+4609	C0036341	CHEMBL564	1128	0.38	C0002994
+4610	C0036341	CHEMBL564	1128	0.38	C0009766
+4611	C0036341	CHEMBL564	1128	0.38	C0012734
+4612	C0036341	CHEMBL564	1128	0.38	C0027497
+4613	C0036341	CHEMBL564	1128	0.38	C0033774
+4614	C0036341	CHEMBL564	1128	0.38	C0033975
+4615	C0036341	CHEMBL564	1128	0.38	C0037383
+4616	C0036341	CHEMBL564	1128	0.38	C0042109
+4617	C0036341	CHEMBL564	1128	0.38	C0042963
+4618	C0036341	CHEMBL564	1128	0.38	C0162565
+4619	C0036341	CHEMBL564	1128	0.38	C2607914
+4620	C0036341	CHEMBL643	1128	0.38	C0009766
+4621	C0036341	CHEMBL643	1128	0.38	C0010200
+4622	C0036341	CHEMBL643	1128	0.38	C0011615
+4623	C0036341	CHEMBL643	1128	0.38	C0018621
+4624	C0036341	CHEMBL643	1128	0.38	C0027497
+4625	C0036341	CHEMBL643	1128	0.38	C0030305
+4626	C0036341	CHEMBL643	1128	0.38	C0035455
+4627	C0036341	CHEMBL643	1128	0.38	C0042109
+4628	C0036341	CHEMBL643	1128	0.38	C0042963
+4629	C0036341	CHEMBL643	1128	0.38	C0497327
+4630	C0036341	CHEMBL11	1128	0.38	C0011581
+4631	C0036341	CHEMBL11	1128	0.38	C0270327
+4632	C0036341	CHEMBL11	1128	0.38	C0497327
+4633	C0036341	CHEMBL1101	1128	0.38	C0015371
+4634	C0036341	CHEMBL1101	1128	0.38	C0030567
+4635	C0036341	CHEMBL1101	1128	0.38	C0242422
+4636	C0036341	CHEMBL1101	1128	0.38	C0497327
+4637	C0036341	CHEMBL21731	1128	0.38	C0011581
+4638	C0036341	CHEMBL21731	1128	0.38	C0497327
+4639	C0036341	CHEMBL1628227	1128	0.38	C0005587
+4640	C0036341	CHEMBL1628227	1128	0.38	C0011581
+4641	C0036341	CHEMBL1628227	1128	0.38	C0011615
+4642	C0036341	CHEMBL1628227	1128	0.38	C0033774
+4643	C0036341	CHEMBL1628227	1128	0.38	C0149922
+4644	C0036341	CHEMBL1628227	1128	0.38	C0497327
+4645	C0036341	CHEMBL1628227	1128	0.38	C0917801
+4646	C0036341	CHEMBL908	1128	0.38	C0497327
+4647	C0036341	CHEMBL42	1128	0.38	C0497327
+4648	C0036341	CHEMBL1764	1128	0.38	C0497327
+4649	C0036341	CHEMBL831	3361	0.35	C0005586
+4650	C0005586	CHEMBL831	3361	0.32	C0036341
+4651	C0036341	CHEMBL1112	3361	0.35	C0004352
+4652	C0036341	CHEMBL1112	3361	0.35	C0005586
+4653	C0036341	CHEMBL1112	3361	0.35	C0036337
+4654	C0036341	CHEMBL1112	3361	0.35	C0497327
+4655	C0036341	CHEMBL1112	3361	0.35	C1263846
+4656	C0005586	CHEMBL1112	3361	0.32	C0004352
+4657	C0005586	CHEMBL1112	3361	0.32	C0036337
+4658	C0005586	CHEMBL1112	3361	0.32	C0036341
+4659	C0005586	CHEMBL1112	3361	0.32	C0497327
+4660	C0005586	CHEMBL1112	3361	0.32	C1263846
+4661	C0036341	CHEMBL831	1816	0.07	C0005586
+4662	C0005586	CHEMBL831	1816	0.53	C0036341
+4663	C0036341	CHEMBL715	1816	0.07	C0005586
+4664	C0036341	CHEMBL715	1816	0.07	C0005587
+4665	C0036341	CHEMBL715	1816	0.07	C0027497
+4666	C0036341	CHEMBL715	1816	0.07	C0036337
+4667	C0036341	CHEMBL715	1816	0.07	C0497327
+4668	C0036341	CHEMBL715	1816	0.07	C1269683
+4669	C0005587	CHEMBL715	1816	0.3	C0005586
+4670	C0005587	CHEMBL715	1816	0.3	C0027497
+4671	C0005587	CHEMBL715	1816	0.3	C0036337
+4672	C0005587	CHEMBL715	1816	0.3	C0036341
+4673	C0005587	CHEMBL715	1816	0.3	C0497327
+4674	C0005587	CHEMBL715	1816	0.3	C1269683
+4675	C0005586	CHEMBL715	1816	0.53	C0005587
+4676	C0005586	CHEMBL715	1816	0.53	C0027497
+4677	C0005586	CHEMBL715	1816	0.53	C0036337
+4678	C0005586	CHEMBL715	1816	0.53	C0036341
+4679	C0005586	CHEMBL715	1816	0.53	C0497327
+4680	C0005586	CHEMBL715	1816	0.53	C1269683
+4681	C0036341	CHEMBL716	1816	0.07	C0003125
+4682	C0036341	CHEMBL716	1816	0.07	C0005586
+4683	C0036341	CHEMBL716	1816	0.07	C0005587
+4684	C0036341	CHEMBL716	1816	0.07	C0036337
+4685	C0036341	CHEMBL716	1816	0.07	C0497327
+4686	C0036341	CHEMBL716	1816	0.07	C1269683
+4687	C0005587	CHEMBL716	1816	0.3	C0003125
+4688	C0005587	CHEMBL716	1816	0.3	C0005586
+4689	C0005587	CHEMBL716	1816	0.3	C0036337
+4690	C0005587	CHEMBL716	1816	0.3	C0036341
+4691	C0005587	CHEMBL716	1816	0.3	C0497327
+4692	C0005587	CHEMBL716	1816	0.3	C1269683
+4693	C0005586	CHEMBL716	1816	0.53	C0003125
+4694	C0005586	CHEMBL716	1816	0.53	C0005587
+4695	C0005586	CHEMBL716	1816	0.53	C0036337
+4696	C0005586	CHEMBL716	1816	0.53	C0036341
+4697	C0005586	CHEMBL716	1816	0.53	C0497327
+4698	C0005586	CHEMBL716	1816	0.53	C1269683
+4699	C0036341	CHEMBL1112	1816	0.07	C0004352
+4702	C0036341	CHEMBL1112	1816	0.07	C0005586
+4705	C0036341	CHEMBL1112	1816	0.07	C0036337
+4708	C0036341	CHEMBL1112	1816	0.07	C0497327
+4711	C0036341	CHEMBL1112	1816	0.07	C1263846
+4714	C0005586	CHEMBL1112	1816	0.53	C0004352
+4717	C0005586	CHEMBL1112	1816	0.53	C0036337
+4720	C0005586	CHEMBL1112	1816	0.53	C0036341
+4723	C0005586	CHEMBL1112	1816	0.53	C0497327
+4726	C0005586	CHEMBL1112	1816	0.53	C1263846
+4729	C0036341	CHEMBL71	1816	0.07	C0012734
+4730	C0036341	CHEMBL71	1816	0.07	C0033975
+4731	C0036341	CHEMBL71	1816	0.07	C0162565
+4732	C0036341	CHEMBL741	1816	0.07	C0005586
+4733	C0036341	CHEMBL741	1816	0.07	C0014544
+4734	C0036341	CHEMBL741	1816	0.07	C0234974
+4735	C0036341	CHEMBL741	1816	0.07	C0494475
+4736	C0036341	CHEMBL741	1816	0.07	C0497327
+4737	C0005586	CHEMBL741	1816	0.53	C0014544
+4738	C0005586	CHEMBL741	1816	0.53	C0036341
+4739	C0005586	CHEMBL741	1816	0.53	C0234974
+4740	C0005586	CHEMBL741	1816	0.53	C0494475
+4741	C0005586	CHEMBL741	1816	0.53	C0497327
+4742	C0036341	CHEMBL490	1816	0.07	C0011581
+4744	C0036341	CHEMBL490	1816	0.07	C0028768
+4746	C0036341	CHEMBL490	1816	0.07	C0030319
+4748	C0036341	CHEMBL490	1816	0.07	C0038436
+4750	C0036341	CHEMBL490	1816	0.07	C0497327
+4752	C0036341	CHEMBL490	1816	0.07	C0600142
+4754	C0036341	CHEMBL490	1816	0.07	C1269683
+4756	C0036341	CHEMBL11	1816	0.07	C0011581
+4757	C0036341	CHEMBL11	1816	0.07	C0270327
+4758	C0036341	CHEMBL11	1816	0.07	C0497327
+4759	C0036341	CHEMBL644	1816	0.07	C0011581
+4760	C0036341	CHEMBL644	1816	0.07	C0497327
+4761	C0036341	CHEMBL1764	1816	0.07	C0497327
+4762	C0036341	CHEMBL6437	1816	0.07	C0497327
+4763	C0036341	CHEMBL6437	1816	0.07	C1269683
+4764	C0036341	CHEMBL831	3274	0.02	C0005586
+4765	C0036341	CHEMBL1112	3274	0.02	C0004352
+4766	C0036341	CHEMBL1112	3274	0.02	C0005586
+4767	C0036341	CHEMBL1112	3274	0.02	C0036337
+4768	C0036341	CHEMBL1112	3274	0.02	C0497327
+4769	C0036341	CHEMBL1112	3274	0.02	C1263846
+4770	C0036341	CHEMBL643	3274	0.02	C0009766
+4771	C0036341	CHEMBL643	3274	0.02	C0010200
+4772	C0036341	CHEMBL643	3274	0.02	C0011615
+4773	C0036341	CHEMBL643	3274	0.02	C0018621
+4774	C0036341	CHEMBL643	3274	0.02	C0027497
+4775	C0036341	CHEMBL643	3274	0.02	C0030305
+4776	C0036341	CHEMBL643	3274	0.02	C0035455
+4777	C0036341	CHEMBL643	3274	0.02	C0042109
+4778	C0036341	CHEMBL643	3274	0.02	C0042963
+4779	C0036341	CHEMBL643	3274	0.02	C0497327
+4780	C0036341	CHEMBL629	3274	0.02	C0011581
+4781	C0036341	CHEMBL629	3274	0.02	C0030193
+4782	C0036341	CHEMBL629	3274	0.02	C0149931
+4783	C0036341	CHEMBL629	3274	0.02	C0497327
+4784	C0036341	CHEMBL629	3274	0.02	C0917801
+4785	C0036341	CHEMBL1628227	3274	0.02	C0005587
+4786	C0036341	CHEMBL1628227	3274	0.02	C0011581
+4787	C0036341	CHEMBL1628227	3274	0.02	C0011615
+4788	C0036341	CHEMBL1628227	3274	0.02	C0033774
+4789	C0036341	CHEMBL1628227	3274	0.02	C0149922
+4790	C0036341	CHEMBL1628227	3274	0.02	C0497327
+4791	C0036341	CHEMBL1628227	3274	0.02	C0917801
+4792	C0036341	CHEMBL831	1133	0.31	C0005586
+4793	C0036341	CHEMBL716	1133	0.31	C0003125
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+4795	C0036341	CHEMBL716	1133	0.31	C0005587
+4796	C0036341	CHEMBL716	1133	0.31	C0036337
+4797	C0036341	CHEMBL716	1133	0.31	C0497327
+4798	C0036341	CHEMBL716	1133	0.31	C1269683
+4799	C0036341	CHEMBL1112	1133	0.31	C0004352
+4800	C0036341	CHEMBL1112	1133	0.31	C0005586
+4801	C0036341	CHEMBL1112	1133	0.31	C0036337
+4802	C0036341	CHEMBL1112	1133	0.31	C0497327
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+4804	C0036341	CHEMBL490	1133	0.31	C0011581
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+4810	C0036341	CHEMBL490	1133	0.31	C1269683
+4811	C0036341	CHEMBL643	1133	0.31	C0009766
+4812	C0036341	CHEMBL643	1133	0.31	C0010200
+4813	C0036341	CHEMBL643	1133	0.31	C0011615
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+4816	C0036341	CHEMBL643	1133	0.31	C0030305
+4817	C0036341	CHEMBL643	1133	0.31	C0035455
+4818	C0036341	CHEMBL643	1133	0.31	C0042109
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+4820	C0036341	CHEMBL643	1133	0.31	C0497327
+4821	C0036341	CHEMBL629	1133	0.31	C0011581
+4822	C0036341	CHEMBL629	1133	0.31	C0030193
+4823	C0036341	CHEMBL629	1133	0.31	C0149931
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+4826	C0036341	CHEMBL11	1133	0.31	C0011581
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+4829	C0036341	CHEMBL445	1133	0.31	C0011581
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+4838	C0036341	CHEMBL1628227	1133	0.31	C0033774
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+5097	C0028754	CHEMBL405	1813	0.3	C0027404
+5098	C0028754	CHEMBL405	1813	0.3	C1263846
+5099	C0028754	CHEMBL405	6532	0.1	C0027404
+5100	C0028754	CHEMBL405	6532	0.1	C1263846
+5101	C0028754	CHEMBL1574	6532	0.1	C0020649
+5102	C0028754	CHEMBL1201201	6532	0.1	C1263846
+5103	C0028754	CHEMBL405	6531	0.02	C0027404
+5104	C0028754	CHEMBL405	6531	0.02	C1263846
+5105	C0028754	CHEMBL1574	6531	0.02	C0020649
+5106	C0028754	CHEMBL1201201	6531	0.02	C1263846
+5107	C0028754	CHEMBL405	155	0.5	C0027404
+5108	C0028754	CHEMBL405	155	0.5	C1263846
+5109	C0030567	CHEMBL1437	6571	0.6	C0002170
+5110	C0030567	CHEMBL1437	6571	0.6	C0004096
+5111	C0030567	CHEMBL1437	6571	0.6	C0006267
+5112	C0030567	CHEMBL1437	6571	0.6	C0006277
+5113	C0030567	CHEMBL1437	6571	0.6	C0020649
+5114	C0030567	CHEMBL1437	6571	0.6	C0020651
+5115	C0030567	CHEMBL1437	6571	0.6	C0034067
+5116	C0030567	CHEMBL1437	6571	0.6	C0917798
+5117	C0036341	CHEMBL715	155	0.02	C0005586
+5118	C0036341	CHEMBL715	155	0.02	C0005587
+5119	C0036341	CHEMBL715	155	0.02	C0027497
+5120	C0036341	CHEMBL715	155	0.02	C0036337
+5121	C0036341	CHEMBL715	155	0.02	C0497327
+5122	C0036341	CHEMBL715	155	0.02	C1269683
+5123	C0036341	CHEMBL490	155	0.02	C0011581
+5124	C0036341	CHEMBL490	155	0.02	C0028768
+5125	C0036341	CHEMBL490	155	0.02	C0030319
+5126	C0036341	CHEMBL490	155	0.02	C0038436
+5127	C0036341	CHEMBL490	155	0.02	C0497327
+5128	C0036341	CHEMBL490	155	0.02	C0600142
+5129	C0036341	CHEMBL490	155	0.02	C1269683
+5130	C0036341	CHEMBL445	155	0.02	C0011581
+5131	C0036341	CHEMBL445	155	0.02	C0497327
+5132	C0036341	CHEMBL644	155	0.02	C0011581
+5133	C0036341	CHEMBL644	155	0.02	C0497327
+5134	C0036341	CHEMBL715	3355	0.37	C0005586
+5135	C0036341	CHEMBL715	3355	0.37	C0005587
+5136	C0036341	CHEMBL715	3355	0.37	C0027497
+5137	C0036341	CHEMBL715	3355	0.37	C0036337
+5138	C0036341	CHEMBL715	3355	0.37	C0497327
+5139	C0036341	CHEMBL715	3355	0.37	C1269683
+5140	C0036341	CHEMBL6437	3355	0.37	C0497327
+5141	C0036341	CHEMBL6437	3355	0.37	C1269683
+5142	C1140680	CHEMBL428647	596	0.1	C0007129
+5143	C1140680	CHEMBL428647	596	0.1	C0007131
+5144	C1140680	CHEMBL428647	596	0.1	C0007137
+5145	C1140680	CHEMBL428647	596	0.1	C0007138
+5146	C1140680	CHEMBL428647	596	0.1	C0017612
+5147	C1140680	CHEMBL428647	596	0.1	C0020538
+5148	C1140680	CHEMBL428647	596	0.1	C0028840
+5149	C1140680	CHEMBL428647	596	0.1	C0036220
+5150	C1140680	CHEMBL428647	596	0.1	C0238122
+5151	C1140680	CHEMBL428647	596	0.1	C0678222
+5152	C1140680	CHEMBL428647	596	0.1	C1621958
+5153	C1140680	CHEMBL428647	8856	0.02	C0007129
+5154	C1140680	CHEMBL428647	8856	0.02	C0007131
+5155	C1140680	CHEMBL428647	8856	0.02	C0007137
+5156	C1140680	CHEMBL428647	8856	0.02	C0007138
+5157	C1140680	CHEMBL428647	8856	0.02	C0017612
+5158	C1140680	CHEMBL428647	8856	0.02	C0020538
+5159	C1140680	CHEMBL428647	8856	0.02	C0028840
+5160	C1140680	CHEMBL428647	8856	0.02	C0036220
+5161	C1140680	CHEMBL428647	8856	0.02	C0238122
+5162	C1140680	CHEMBL428647	8856	0.02	C0678222
+5163	C1140680	CHEMBL428647	8856	0.02	C1621958
+5164	C0014544	CHEMBL40	8856	0.02	C0009088
+5165	C0014544	CHEMBL40	8856	0.02	C0014549
+5166	C0014544	CHEMBL40	8856	0.02	C0036341
+5167	C0014544	CHEMBL40	8856	0.02	C0038220
+5168	C0014544	CHEMBL40	8856	0.02	C0042376
+5169	C0014544	CHEMBL40	8856	0.02	C0149931
+5170	C0014544	CHEMBL40	8856	0.02	C0234974
+5171	C0014544	CHEMBL40	8856	0.02	C0494475
+5172	C0014544	CHEMBL40	8856	0.02	C0497327
+5173	C0014544	CHEMBL861	8856	0.02	C0014547
+5174	C0014544	CHEMBL45029	8856	0.02	C0014549
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+5176	C0014544	CHEMBL448	8856	0.02	C0917798
+5177	C0014544	CHEMBL448	8856	0.02	C0917801
+5178	C0014544	CHEMBL108	8856	0.02	C0014547
+5179	C0014544	CHEMBL108	8856	0.02	C0014549
+5180	C0014544	CHEMBL108	8856	0.02	C0036341
+5181	C0014544	CHEMBL108	8856	0.02	C0040997
+5182	C0014544	CHEMBL108	8856	0.02	C0154731
+5183	C0014544	CHEMBL108	8856	0.02	C0234974
+5184	C0014544	CHEMBL108	8856	0.02	C0494475
+5185	C0014544	CHEMBL108	8856	0.02	C0497327
+5186	C0014544	CHEMBL452	8856	0.02	C0014550
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+5188	C0014544	CHEMBL452	8856	0.02	C0030319
+5189	C0014544	CHEMBL452	8856	0.02	C0036341
+5190	C0014544	CHEMBL452	8856	0.02	C0270846
+5191	C0014544	CHEMBL452	8856	0.02	C0497327
+5192	C0014544	CHEMBL40	1137	0.1	C0009088
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+5194	C0014544	CHEMBL40	1137	0.1	C0036341
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+5201	C0036341	CHEMBL40	1137	0.38	C0009088
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+5203	C0036341	CHEMBL40	1137	0.38	C0014549
+5204	C0036341	CHEMBL40	1137	0.38	C0038220
+5205	C0036341	CHEMBL40	1137	0.38	C0042376
+5206	C0036341	CHEMBL40	1137	0.38	C0149931
+5207	C0036341	CHEMBL40	1137	0.38	C0234974
+5208	C0036341	CHEMBL40	1137	0.38	C0494475
+5209	C0036341	CHEMBL40	1137	0.38	C0497327
+5210	C0014544	CHEMBL45029	1137	0.1	C0014549
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+5212	C0014544	CHEMBL448	1137	0.1	C0917798
+5213	C0014544	CHEMBL448	1137	0.1	C0917801
+5214	C0014544	CHEMBL856	1137	0.1	C0014547
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+5220	C0014544	CHEMBL267894	1137	0.1	C0038220
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+5233	C0036341	CHEMBL40	2554	0.34	C0009088
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+5249	C0014544	CHEMBL220492	2554	0.04	C0036341
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+5312	C0014544	CHEMBL40	2891	0.06	C0036341
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+5415	C0005586	CHEMBL1112	152	0.31	C0497327
+5418	C0005586	CHEMBL1112	152	0.31	C1263846
+5421	C0005586	CHEMBL831	152	0.31	C0036341
+5422	C0036341	CHEMBL1112	4988	0.34	C0004352
+5423	C0036341	CHEMBL1112	4988	0.34	C0005586
+5424	C0036341	CHEMBL1112	4988	0.34	C0036337
+5425	C0036341	CHEMBL1112	4988	0.34	C0497327
+5426	C0036341	CHEMBL1112	4988	0.34	C1263846
+5427	C0036341	CHEMBL46	4988	0.34	C0001973
+5429	C0036341	CHEMBL46	4988	0.34	C0027497
+5431	C0036341	CHEMBL46	4988	0.34	C0028768
+5433	C0036341	CHEMBL46	4988	0.34	C0042963
+5435	C0036341	CHEMBL629	4988	0.34	C0011581
+5436	C0036341	CHEMBL629	4988	0.34	C0030193
+5437	C0036341	CHEMBL629	4988	0.34	C0149931
+5438	C0036341	CHEMBL629	4988	0.34	C0497327
+5439	C0036341	CHEMBL629	4988	0.34	C0917801
+5440	C0036341	CHEMBL1112	4985	0.1	C0004352
+5441	C0036341	CHEMBL1112	4985	0.1	C0005586
+5442	C0036341	CHEMBL1112	4985	0.1	C0036337
+5443	C0036341	CHEMBL1112	4985	0.1	C0497327
+5444	C0036341	CHEMBL1112	4985	0.1	C1263846
+5445	C0036341	CHEMBL19019	4985	0.1	C0001973
+5446	C0036341	CHEMBL19019	4985	0.1	C0009324
+5447	C0036341	CHEMBL19019	4985	0.1	C0010346
+5448	C0036341	CHEMBL19019	4985	0.1	C0021390
+5449	C0036341	CHEMBL19019	4985	0.1	C0028754
+5450	C0036341	CHEMBL19019	4985	0.1	C0028768
+5451	C0036341	CHEMBL19019	4985	0.1	C0029408
+5452	C0036341	CHEMBL19019	4985	0.1	C0150055
+5453	C0036341	CHEMBL19019	4985	0.1	C0152020
+5454	C0036341	CHEMBL629	4985	0.1	C0011581
+5455	C0036341	CHEMBL629	4985	0.1	C0030193
+5456	C0036341	CHEMBL629	4985	0.1	C0149931
+5457	C0036341	CHEMBL629	4985	0.1	C0497327
+5458	C0036341	CHEMBL629	4985	0.1	C0917801
+5459	C0038436	CHEMBL796	6531	0.03	C0027404
+5460	C0038436	CHEMBL796	6531	0.03	C1263846
+5461	C0007134	CHEMBL413	2247	0.02	C0003873
+5463	C0007134	CHEMBL413	2247	0.02	C0004153
+5465	C0007134	CHEMBL413	2247	0.02	C0006413
+5467	C0007134	CHEMBL413	2247	0.02	C0007131
+5469	C0007134	CHEMBL413	2247	0.02	C0007137
+5471	C0007134	CHEMBL413	2247	0.02	C0007138
+5473	C0007134	CHEMBL413	2247	0.02	C0020459
+5475	C0007134	CHEMBL413	2247	0.02	C0021670
+5477	C0007134	CHEMBL413	2247	0.02	C0026764
+5479	C0007134	CHEMBL413	2247	0.02	C0027819
+5481	C0007134	CHEMBL413	2247	0.02	C0030807
+5483	C0007134	CHEMBL413	2247	0.02	C0334634
+5485	C0007134	CHEMBL413	2247	0.02	C1621958
+5487	C0004153	CHEMBL413	2247	0.03	C0003873
+5489	C0004153	CHEMBL413	2247	0.03	C0006413
+5491	C0004153	CHEMBL413	2247	0.03	C0007131
+5493	C0004153	CHEMBL413	2247	0.03	C0007134
+5495	C0004153	CHEMBL413	2247	0.03	C0007137
+5497	C0004153	CHEMBL413	2247	0.03	C0007138
+5499	C0004153	CHEMBL413	2247	0.03	C0020459
+5501	C0004153	CHEMBL413	2247	0.03	C0021670
+5503	C0004153	CHEMBL413	2247	0.03	C0026764
+5505	C0004153	CHEMBL413	2247	0.03	C0027819
+5507	C0004153	CHEMBL413	2247	0.03	C0030807
+5509	C0004153	CHEMBL413	2247	0.03	C0334634
+5511	C0004153	CHEMBL413	2247	0.03	C1621958
+5513	C0027819	CHEMBL413	2247	0.1	C0003873
+5515	C0027819	CHEMBL413	2247	0.1	C0004153
+5517	C0027819	CHEMBL413	2247	0.1	C0006413
+5519	C0027819	CHEMBL413	2247	0.1	C0007131
+5521	C0027819	CHEMBL413	2247	0.1	C0007134
+5523	C0027819	CHEMBL413	2247	0.1	C0007137
+5525	C0027819	CHEMBL413	2247	0.1	C0007138
+5527	C0027819	CHEMBL413	2247	0.1	C0020459
+5529	C0027819	CHEMBL413	2247	0.1	C0021670
+5531	C0027819	CHEMBL413	2247	0.1	C0026764
+5533	C0027819	CHEMBL413	2247	0.1	C0030807
+5535	C0027819	CHEMBL413	2247	0.1	C0334634
+5537	C0027819	CHEMBL413	2247	0.1	C1621958
+5539	C0003873	CHEMBL413	2247	0.07	C0004153
+5541	C0003873	CHEMBL413	2247	0.07	C0006413
+5543	C0003873	CHEMBL413	2247	0.07	C0007131
+5545	C0003873	CHEMBL413	2247	0.07	C0007134
+5547	C0003873	CHEMBL413	2247	0.07	C0007137
+5549	C0003873	CHEMBL413	2247	0.07	C0007138
+5551	C0003873	CHEMBL413	2247	0.07	C0020459
+5553	C0003873	CHEMBL413	2247	0.07	C0021670
+5555	C0003873	CHEMBL413	2247	0.07	C0026764
+5557	C0003873	CHEMBL413	2247	0.07	C0027819
+5559	C0003873	CHEMBL413	2247	0.07	C0030807
+5561	C0003873	CHEMBL413	2247	0.07	C0334634
+5563	C0003873	CHEMBL413	2247	0.07	C1621958
+5565	C0007134	CHEMBL1336	3815	0.06	C0007131
+5566	C0007134	CHEMBL1336	3815	0.06	C0036220
+5567	C0007134	CHEMBL1336	3815	0.06	C2239176
+5568	C0007134	CHEMBL535	3815	0.06	C0003962
+5569	C0007134	CHEMBL535	3815	0.06	C0007131
+5570	C0007134	CHEMBL535	3815	0.06	C0023480
+5571	C0007134	CHEMBL535	3815	0.06	C0238198
+5572	C0007134	CHEMBL535	3815	0.06	C1621958
+5573	C0007134	CHEMBL477772	3815	0.06	C1261473
+5574	C0007134	CHEMBL1289601	3815	0.06	C0206682
+5575	C0007134	CHEMBL1289601	3815	0.06	C0238463
+5576	C0007134	CHEMBL1336	673	0.03	C0007131
+5577	C0007134	CHEMBL1336	673	0.03	C0036220
+5578	C0007134	CHEMBL1336	673	0.03	C2239176
+5579	C0007134	CHEMBL1336	3791	0.09	C0007131
+5580	C0007134	CHEMBL1336	3791	0.09	C0036220
+5581	C0007134	CHEMBL1336	3791	0.09	C2239176
+5582	C0007134	CHEMBL535	3791	0.09	C0003962
+5583	C0007134	CHEMBL535	3791	0.09	C0007131
+5584	C0007134	CHEMBL535	3791	0.09	C0023480
+5585	C0007134	CHEMBL535	3791	0.09	C0238198
+5586	C0007134	CHEMBL535	3791	0.09	C1621958
+5587	C0007134	CHEMBL477772	3791	0.09	C1261473
+5588	C0007134	CHEMBL1289926	3791	0.09	C1621958
+5589	C0007134	CHEMBL1289601	3791	0.09	C0206682
+5590	C0007134	CHEMBL1289601	3791	0.09	C0238463
+5591	C0007134	CHEMBL1336	5894	0.03	C0007131
+5592	C0007134	CHEMBL1336	5894	0.03	C0036220
+5593	C0007134	CHEMBL1336	5894	0.03	C2239176
+5594	C0007134	CHEMBL1336	5159	0.02	C0007131
+5595	C0007134	CHEMBL1336	5159	0.02	C0036220
+5596	C0007134	CHEMBL1336	5159	0.02	C2239176
+5597	C0007134	CHEMBL535	5159	0.02	C0003962
+5598	C0007134	CHEMBL535	5159	0.02	C0007131
+5599	C0007134	CHEMBL535	5159	0.02	C0023480
+5600	C0007134	CHEMBL535	5159	0.02	C0238198
+5601	C0007134	CHEMBL535	5159	0.02	C1621958
+5602	C0007134	CHEMBL477772	5159	0.02	C1261473
+5603	C0020538	CHEMBL1393	2908	0.7	C0003962
+5604	C0020538	CHEMBL1393	2908	0.7	C0013604
+5605	C0020538	CHEMBL1393	2908	0.7	C0020428
+5606	C0020538	CHEMBL1393	1585	0.2	C0003962
+5607	C0020538	CHEMBL1393	1585	0.2	C0013604
+5608	C0020538	CHEMBL1393	1585	0.2	C0020428
+5609	C0020538	CHEMBL1393	1586	0.2	C0003962
+5610	C0020538	CHEMBL1393	1586	0.2	C0013604
+5611	C0020538	CHEMBL1393	1586	0.2	C0020428
+5612	C0020538	CHEMBL1393	6462	0.1	C0003962
+5613	C0020538	CHEMBL1393	6462	0.1	C0013604
+5614	C0020538	CHEMBL1393	6462	0.1	C0020428
+5615	C0020538	CHEMBL1393	4306	0.2	C0003962
+5616	C0020538	CHEMBL1393	4306	0.2	C0013604
+5617	C0020538	CHEMBL1393	4306	0.2	C0020428
+5618	C0003873	CHEMBL15770	5595	0.03	C0003868
+5619	C0003873	CHEMBL15770	5595	0.03	C0006444
+5620	C0003873	CHEMBL15770	5595	0.03	C0029408
+5621	C0003873	CHEMBL15770	5595	0.03	C0038013
+5622	C0003873	CHEMBL15770	5595	0.03	C0039503
+5623	C0024623	CHEMBL185	7298	0.4	C0007102
+5624	C0024623	CHEMBL185	7298	0.4	C0007129
+5625	C0024623	CHEMBL185	7298	0.4	C0007131
+5626	C0024623	CHEMBL185	7298	0.4	C0007134
+5627	C0024623	CHEMBL185	7298	0.4	C0007137
+5628	C0024623	CHEMBL185	7298	0.4	C0011991
+5629	C0024623	CHEMBL185	7298	0.4	C0022602
+5630	C0024623	CHEMBL185	7298	0.4	C0030193
+5631	C0024623	CHEMBL185	7298	0.4	C0206754
+5632	C0007134	CHEMBL185	7298	0.02	C0007102
+5633	C0007134	CHEMBL185	7298	0.02	C0007129
+5634	C0007134	CHEMBL185	7298	0.02	C0007131
+5635	C0007134	CHEMBL185	7298	0.02	C0007137
+5636	C0007134	CHEMBL185	7298	0.02	C0011991
+5637	C0007134	CHEMBL185	7298	0.02	C0022602
+5638	C0007134	CHEMBL185	7298	0.02	C0024623
+5639	C0007134	CHEMBL185	7298	0.02	C0030193
+5640	C0007134	CHEMBL185	7298	0.02	C0206754
+5641	C0024623	CHEMBL1773	7298	0.4	C0007129
+5642	C0024623	CHEMBL1773	7298	0.4	C0007131
+5643	C0024623	CHEMBL1773	7298	0.4	C0030193
+5644	C0030567	CHEMBL1324	1312	0.1	C0027819
+5645	C0030567	CHEMBL1324	1312	0.1	C0036341
+5646	C0036341	CHEMBL1324	1312	0.4	C0027819
+5647	C0036341	CHEMBL1324	1312	0.4	C0030567
+5648	C0020538	CHEMBL1148	6558	0.52	C0013604
+5649	C0020538	CHEMBL1148	6558	0.52	C0018801
+5650	C0014544	CHEMBL109	7915	0.25	C0011644
+5651	C0014544	CHEMBL109	7915	0.25	C0014553
+5652	C0014544	CHEMBL109	7915	0.25	C0025202
+5653	C0014544	CHEMBL109	7915	0.25	C0027796
+5654	C0014544	CHEMBL109	7915	0.25	C0027819
+5655	C0014544	CHEMBL109	7915	0.25	C0036341
+5656	C0014544	CHEMBL109	7915	0.25	C0497327
+5657	C0014544	CHEMBL109	9734	0.11	C0011644
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+5660	C0014544	CHEMBL109	9734	0.11	C0027796
+5661	C0014544	CHEMBL109	9734	0.11	C0027819
+5662	C0014544	CHEMBL109	9734	0.11	C0036341
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+5664	C0027819	CHEMBL109	9734	0.04	C0011644
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+5669	C0027819	CHEMBL109	9734	0.04	C0036341
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+5671	C0036341	CHEMBL109	9734	0.32	C0011644
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+5674	C0036341	CHEMBL109	9734	0.32	C0025202
+5675	C0036341	CHEMBL109	9734	0.32	C0027796
+5676	C0036341	CHEMBL109	9734	0.32	C0027819
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+5692	C0035579	CHEMBL1042	7421	0.7	C0004096
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+5717	C0011849	CHEMBL1042	7421	0.1	C0036337
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+5727	C0026769	CHEMBL1042	7421	0.4	C0028754
+5728	C0026769	CHEMBL1042	7421	0.4	C0029456
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+5786	C0028754	CHEMBL111	1268	0.6	C0036341
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+5788	C0036341	CHEMBL111	1268	0.4	C0011860
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+5790	C0036341	CHEMBL111	1268	0.4	C0036337
+5791	C0036341	CHEMBL111	1268	0.4	C0242339
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+7077	C0003125	CHEMBL135	2100	0.03	C0029458
+7078	C0003125	CHEMBL135	2100	0.03	C0162836
+7079	C0003125	CHEMBL135	2100	0.03	C0221074
+7080	C0003125	CHEMBL135	2100	0.03	C0600142
+7081	C0003125	CHEMBL135	2099	0.03	C0001144
+7082	C0003125	CHEMBL135	2099	0.03	C0013390
+7083	C0003125	CHEMBL135	2099	0.03	C0014175
+7084	C0003125	CHEMBL135	2099	0.03	C0029456
+7085	C0003125	CHEMBL135	2099	0.03	C0029458
+7086	C0003125	CHEMBL135	2099	0.03	C0162836
+7087	C0003125	CHEMBL135	2099	0.03	C0221074
+7088	C0003125	CHEMBL135	2099	0.03	C0600142
+7089	C0003125	CHEMBL691	2099	0.03	C0001144
+7090	C0003125	CHEMBL691	2099	0.03	C0029458
+7091	C0003125	CHEMBL691	2099	0.03	C0162836
+7092	C0003125	CHEMBL691	2099	0.03	C0600142
+7093	C0036341	CHEMBL741	135	0.36	C0005586
+7094	C0036341	CHEMBL741	135	0.36	C0014544
+7095	C0036341	CHEMBL741	135	0.36	C0234974
+7096	C0036341	CHEMBL741	135	0.36	C0494475
+7097	C0036341	CHEMBL741	135	0.36	C0497327
+7098	C0036341	CHEMBL741	134	0.31	C0005586
+7099	C0036341	CHEMBL741	134	0.31	C0014544
+7100	C0036341	CHEMBL741	134	0.31	C0234974
+7101	C0036341	CHEMBL741	134	0.31	C0494475
+7102	C0036341	CHEMBL741	134	0.31	C0497327
+7103	C0036341	CHEMBL940	134	0.31	C0030193
+7104	C0036341	CHEMBL940	134	0.31	C0032768
+7105	C0036341	CHEMBL940	134	0.31	C0035258
+7106	C0036341	CHEMBL940	134	0.31	C0150055
+7107	C0036341	CHEMBL940	134	0.31	C0497327
+7108	C0011849	CHEMBL294199	7442	0.03	C0004604
+7109	C0011849	CHEMBL294199	7442	0.03	C0019360
+7110	C0011849	CHEMBL294199	7442	0.03	C0027796
+7111	C0011849	CHEMBL294199	7442	0.03	C0030193
+7112	C0011849	CHEMBL294199	7442	0.03	C0032768
+7113	C0004153	CHEMBL1140	142	0.31	C0001144
+7114	C0004153	CHEMBL1140	142	0.31	C0020473
+7115	C0004153	CHEMBL1140	142	0.31	C0027051
+7116	C0004153	CHEMBL1140	142	0.31	C0027819
+7117	C0004153	CHEMBL1140	142	0.31	C0028754
+7118	C0004153	CHEMBL1140	142	0.31	C0030783
+7119	C0004153	CHEMBL1140	142	0.31	C0035412
+7120	C0004153	CHEMBL1140	142	0.31	C0038454
+7121	C0004153	CHEMBL1140	142	0.31	C0242339
+7122	C0028754	CHEMBL1140	142	0.31	C0001144
+7123	C0028754	CHEMBL1140	142	0.31	C0004153
+7124	C0028754	CHEMBL1140	142	0.31	C0020473
+7125	C0028754	CHEMBL1140	142	0.31	C0027051
+7126	C0028754	CHEMBL1140	142	0.31	C0027819
+7127	C0028754	CHEMBL1140	142	0.31	C0030783
+7128	C0028754	CHEMBL1140	142	0.31	C0035412
+7129	C0028754	CHEMBL1140	142	0.31	C0038454
+7130	C0028754	CHEMBL1140	142	0.31	C0242339
+7131	C0027819	CHEMBL1140	142	0.06	C0001144
+7132	C0027819	CHEMBL1140	142	0.06	C0004153
+7133	C0027819	CHEMBL1140	142	0.06	C0020473
+7134	C0027819	CHEMBL1140	142	0.06	C0027051
+7135	C0027819	CHEMBL1140	142	0.06	C0028754
+7136	C0027819	CHEMBL1140	142	0.06	C0030783
+7137	C0027819	CHEMBL1140	142	0.06	C0035412
+7138	C0027819	CHEMBL1140	142	0.06	C0038454
+7139	C0027819	CHEMBL1140	142	0.06	C0242339
+7140	C0028754	CHEMBL573	4837	0.03	C0004153
+7141	C0028754	CHEMBL573	4837	0.03	C0020443
+7142	C0028754	CHEMBL573	4837	0.03	C0020473
+7143	C0028754	CHEMBL573	4837	0.03	C0020474
+7144	C0028754	CHEMBL573	4837	0.03	C0020557
+7145	C0028754	CHEMBL573	4837	0.03	C0027051
+7146	C0028754	CHEMBL573	4837	0.03	C0038454
+7147	C0028754	CHEMBL573	4837	0.03	C0242339
+7148	C0007134	CHEMBL1489	1786	0.03	C0007131
+7149	C0007134	CHEMBL1489	1786	0.03	C0007137
+7150	C0007134	CHEMBL1489	1786	0.03	C0023467
+7151	C0007134	CHEMBL1489	1786	0.03	C0023480
+7152	C0007134	CHEMBL1489	1786	0.03	C0026764
+7153	C0007134	CHEMBL1489	1786	0.03	C0030193
+7154	C0007134	CHEMBL1201129	1786	0.03	C0023467
+7155	C0007134	CHEMBL1201129	1786	0.03	C0023480
+7156	C0036341	CHEMBL807	2902	0.1	C0002395
+7157	C0036341	CHEMBL807	2902	0.1	C0026769
+7158	C0036341	CHEMBL807	2902	0.1	C0036337
+7159	C0036341	CHEMBL807	2902	0.1	C0497327
+7160	C0002395	CHEMBL807	2902	0.02	C0026769
+7161	C0002395	CHEMBL807	2902	0.02	C0036337
+7162	C0002395	CHEMBL807	2902	0.02	C0036341
+7163	C0002395	CHEMBL807	2902	0.02	C0497327
+7164	C0007134	CHEMBL225072	7298	0.02	C0007131
+7165	C0036341	CHEMBL502	3553	0.4	C0002395
+7167	C0036341	CHEMBL502	3553	0.4	C0026769
+7169	C0036341	CHEMBL502	3553	0.4	C0030567
+7171	C0036341	CHEMBL502	3553	0.4	C0497327
+7173	C0030567	CHEMBL502	3553	0.28	C0002395
+7175	C0030567	CHEMBL502	3553	0.28	C0026769
+7177	C0030567	CHEMBL502	3553	0.28	C0036341
+7179	C0030567	CHEMBL502	3553	0.28	C0497327
+7181	C0026769	CHEMBL502	3553	0.4	C0002395
+7183	C0026769	CHEMBL502	3553	0.4	C0030567
+7185	C0026769	CHEMBL502	3553	0.4	C0036341
+7187	C0026769	CHEMBL502	3553	0.4	C0497327
+7189	C0002395	CHEMBL502	3553	0.6	C0026769
+7191	C0002395	CHEMBL502	3553	0.6	C0030567
+7193	C0002395	CHEMBL502	3553	0.6	C0036341
+7195	C0002395	CHEMBL502	3553	0.6	C0497327
+7197	C0036341	CHEMBL502	4790	0.1	C0002395
+7198	C0036341	CHEMBL502	4790	0.1	C0026769
+7199	C0036341	CHEMBL502	4790	0.1	C0030567
+7200	C0036341	CHEMBL502	4790	0.1	C0497327
+7201	C0030567	CHEMBL502	4790	0.03	C0002395
+7202	C0030567	CHEMBL502	4790	0.03	C0026769
+7203	C0030567	CHEMBL502	4790	0.03	C0036341
+7204	C0030567	CHEMBL502	4790	0.03	C0497327
+7205	C0026769	CHEMBL502	4790	0.03	C0002395
+7206	C0026769	CHEMBL502	4790	0.03	C0030567
+7207	C0026769	CHEMBL502	4790	0.03	C0036341
+7208	C0026769	CHEMBL502	4790	0.03	C0497327
+7209	C0002395	CHEMBL502	4790	0.09	C0026769
+7210	C0002395	CHEMBL502	4790	0.09	C0030567
+7211	C0002395	CHEMBL502	4790	0.09	C0036341
+7212	C0002395	CHEMBL502	4790	0.09	C0497327
+7213	C0036341	CHEMBL502	4842	0.5	C0002395
+7215	C0036341	CHEMBL502	4842	0.5	C0026769
+7217	C0036341	CHEMBL502	4842	0.5	C0030567
+7219	C0036341	CHEMBL502	4842	0.5	C0497327
+7221	C0030567	CHEMBL502	4842	0.38	C0002395
+7223	C0030567	CHEMBL502	4842	0.38	C0026769
+7225	C0030567	CHEMBL502	4842	0.38	C0036341
+7227	C0030567	CHEMBL502	4842	0.38	C0497327
+7229	C0002395	CHEMBL502	4842	0.06	C0026769
+7231	C0002395	CHEMBL502	4842	0.06	C0030567
+7233	C0002395	CHEMBL502	4842	0.06	C0036341
+7235	C0002395	CHEMBL502	4842	0.06	C0497327
+7237	C0036341	CHEMBL502	43	0.3	C0002395
+7238	C0036341	CHEMBL502	43	0.3	C0026769
+7239	C0036341	CHEMBL502	43	0.3	C0030567
+7240	C0036341	CHEMBL502	43	0.3	C0497327
+7241	C0030567	CHEMBL502	43	0.03	C0002395
+7242	C0030567	CHEMBL502	43	0.03	C0026769
+7243	C0030567	CHEMBL502	43	0.03	C0036341
+7244	C0030567	CHEMBL502	43	0.03	C0497327
+7245	C0002395	CHEMBL502	43	0.4	C0026769
+7246	C0002395	CHEMBL502	43	0.4	C0030567
+7247	C0002395	CHEMBL502	43	0.4	C0036341
+7248	C0002395	CHEMBL502	43	0.4	C0497327
+7249	C0036341	CHEMBL659	43	0.3	C0002395
+7250	C0036341	CHEMBL659	43	0.3	C0036337
+7251	C0036341	CHEMBL659	43	0.3	C0038436
+7252	C0036341	CHEMBL659	43	0.3	C0497327
+7253	C0002395	CHEMBL659	43	0.4	C0036337
+7254	C0002395	CHEMBL659	43	0.4	C0036341
+7255	C0002395	CHEMBL659	43	0.4	C0038436
+7256	C0002395	CHEMBL659	43	0.4	C0497327
+7257	C0036341	CHEMBL636	43	0.3	C0002395
+7258	C0036341	CHEMBL636	43	0.3	C0497327
+7259	C0002395	CHEMBL636	43	0.4	C0036341
+7260	C0002395	CHEMBL636	43	0.4	C0497327
+7261	C0030567	CHEMBL502	590	0.02	C0002395
+7262	C0030567	CHEMBL502	590	0.02	C0026769
+7263	C0030567	CHEMBL502	590	0.02	C0036341
+7264	C0030567	CHEMBL502	590	0.02	C0497327
+7265	C0026769	CHEMBL502	590	0.3	C0002395
+7266	C0026769	CHEMBL502	590	0.3	C0030567
+7267	C0026769	CHEMBL502	590	0.3	C0036341
+7268	C0026769	CHEMBL502	590	0.3	C0497327
+7269	C0002395	CHEMBL502	590	0.4	C0026769
+7270	C0002395	CHEMBL502	590	0.4	C0030567
+7271	C0002395	CHEMBL502	590	0.4	C0036341
+7272	C0002395	CHEMBL502	590	0.4	C0497327
+7273	C0025202	CHEMBL109	3066	0.3	C0011644
+7274	C0025202	CHEMBL109	3066	0.3	C0014544
+7275	C0025202	CHEMBL109	3066	0.3	C0014553
+7276	C0025202	CHEMBL109	3066	0.3	C0027796
+7277	C0025202	CHEMBL109	3066	0.3	C0027819
+7278	C0025202	CHEMBL109	3066	0.3	C0036341
+7279	C0025202	CHEMBL109	3066	0.3	C0497327
+7280	C0027819	CHEMBL109	3066	0.04	C0011644
+7281	C0027819	CHEMBL109	3066	0.04	C0014544
+7282	C0027819	CHEMBL109	3066	0.04	C0014553
+7283	C0027819	CHEMBL109	3066	0.04	C0025202
+7284	C0027819	CHEMBL109	3066	0.04	C0027796
+7285	C0027819	CHEMBL109	3066	0.04	C0036341
+7286	C0027819	CHEMBL109	3066	0.04	C0497327
+7287	C0036341	CHEMBL109	3066	0.33	C0011644
+7288	C0036341	CHEMBL109	3066	0.33	C0014544
+7289	C0036341	CHEMBL109	3066	0.33	C0014553
+7290	C0036341	CHEMBL109	3066	0.33	C0025202
+7291	C0036341	CHEMBL109	3066	0.33	C0027796
+7292	C0036341	CHEMBL109	3066	0.33	C0027819
+7293	C0036341	CHEMBL109	3066	0.33	C0497327
+7294	C0025202	CHEMBL503	3066	0.3	C0003850
+7295	C0025202	CHEMBL503	3066	0.3	C0003873
+7296	C0025202	CHEMBL503	3066	0.3	C0020443
+7297	C0025202	CHEMBL503	3066	0.3	C0020473
+7298	C0025202	CHEMBL503	3066	0.3	C0020474
+7299	C0025202	CHEMBL503	3066	0.3	C0020557
+7300	C0025202	CHEMBL503	3066	0.3	C0473527
+7301	C0036341	CHEMBL98	3066	0.33	C0007131
+7302	C0036341	CHEMBL98	3066	0.33	C0023269
+7303	C0036341	CHEMBL98	3066	0.33	C0026764
+7304	C0036341	CHEMBL98	3066	0.33	C0079773
+7305	C0036341	CHEMBL98	3066	0.33	C0079774
+7306	C0036341	CHEMBL98	3066	0.33	C0334634
+7307	C0036341	CHEMBL98	3066	0.33	C1621958
+7308	C0036341	CHEMBL465	1268	0.4	C0026769
+7309	C0036341	CHEMBL465	1268	0.4	C0026838
+7310	C0036341	CHEMBL465	1268	0.4	C0027497
+7311	C0036341	CHEMBL465	1268	0.4	C0042963
+7312	C0036341	CHEMBL465	1268	0.4	C0150055
+7313	C0028754	CHEMBL220492	761	0.3	C0001973
+7314	C0028754	CHEMBL220492	761	0.3	C0014544
+7315	C0028754	CHEMBL220492	761	0.3	C0014549
+7316	C0028754	CHEMBL220492	761	0.3	C0020473
+7317	C0028754	CHEMBL220492	761	0.3	C0020557
+7318	C0028754	CHEMBL220492	761	0.3	C0030567
+7319	C0028754	CHEMBL220492	761	0.3	C0032897
+7320	C0028754	CHEMBL220492	761	0.3	C0036341
+7321	C0028754	CHEMBL220492	761	0.3	C0149931
+7322	C0028754	CHEMBL220492	761	0.3	C0234974
+7323	C0028754	CHEMBL220492	761	0.3	C0497327
+7324	C0028754	CHEMBL220492	762	0.1	C0001973
+7325	C0028754	CHEMBL220492	762	0.1	C0014544
+7326	C0028754	CHEMBL220492	762	0.1	C0014549
+7327	C0028754	CHEMBL220492	762	0.1	C0020473
+7328	C0028754	CHEMBL220492	762	0.1	C0020557
+7329	C0028754	CHEMBL220492	762	0.1	C0030567
+7330	C0028754	CHEMBL220492	762	0.1	C0032897
+7331	C0028754	CHEMBL220492	762	0.1	C0036341
+7332	C0028754	CHEMBL220492	762	0.1	C0149931
+7333	C0028754	CHEMBL220492	762	0.1	C0234974
+7334	C0028754	CHEMBL220492	762	0.1	C0497327
+7335	C0036341	CHEMBL911	2554	0.34	C0030567
+7336	C0036341	CHEMBL911	2554	0.34	C0497327
+7337	C0036341	CHEMBL911	2554	0.34	C0917801
+7338	C0036341	CHEMBL220492	2900	0.34	C0001973
+7339	C0036341	CHEMBL220492	2900	0.34	C0014544
+7340	C0036341	CHEMBL220492	2900	0.34	C0014549
+7341	C0036341	CHEMBL220492	2900	0.34	C0020473
+7342	C0036341	CHEMBL220492	2900	0.34	C0020557
+7343	C0036341	CHEMBL220492	2900	0.34	C0028754
+7344	C0036341	CHEMBL220492	2900	0.34	C0030567
+7345	C0036341	CHEMBL220492	2900	0.34	C0032897
+7346	C0036341	CHEMBL220492	2900	0.34	C0149931
+7347	C0036341	CHEMBL220492	2900	0.34	C0234974
+7348	C0036341	CHEMBL220492	2900	0.34	C0497327
+7349	C0036341	CHEMBL220492	2901	0.31	C0001973
+7350	C0036341	CHEMBL220492	2901	0.31	C0014544
+7351	C0036341	CHEMBL220492	2901	0.31	C0014549
+7352	C0036341	CHEMBL220492	2901	0.31	C0020473
+7353	C0036341	CHEMBL220492	2901	0.31	C0020557
+7354	C0036341	CHEMBL220492	2901	0.31	C0028754
+7355	C0036341	CHEMBL220492	2901	0.31	C0030567
+7356	C0036341	CHEMBL220492	2901	0.31	C0032897
+7357	C0036341	CHEMBL220492	2901	0.31	C0149931
+7358	C0036341	CHEMBL220492	2901	0.31	C0234974
+7359	C0036341	CHEMBL220492	2901	0.31	C0497327
+7360	C0036341	CHEMBL809	10280	0.35	C0001973
+7362	C0036341	CHEMBL809	10280	0.35	C0009186
+7364	C0036341	CHEMBL809	10280	0.35	C0010414
+7366	C0036341	CHEMBL809	10280	0.35	C0011581
+7368	C0036341	CHEMBL809	10280	0.35	C0028768
+7370	C0036341	CHEMBL809	10280	0.35	C0030319
+7372	C0036341	CHEMBL809	10280	0.35	C0038436
+7374	C0036341	CHEMBL809	10280	0.35	C0497327
+7376	C0036341	CHEMBL809	10280	0.35	C0917801
+7378	C0036341	CHEMBL809	10280	0.35	C1269683
+7380	C0036341	CHEMBL629	10280	0.35	C0011581
+7381	C0036341	CHEMBL629	10280	0.35	C0030193
+7382	C0036341	CHEMBL629	10280	0.35	C0149931
+7383	C0036341	CHEMBL629	10280	0.35	C0497327
+7384	C0036341	CHEMBL629	10280	0.35	C0917801
+7385	C0036341	CHEMBL445	10280	0.35	C0011581
+7386	C0036341	CHEMBL445	10280	0.35	C0497327
+7387	C0005586	CHEMBL1112	154	0.31	C0004352
+7388	C0005586	CHEMBL1112	154	0.31	C0036337
+7389	C0005586	CHEMBL1112	154	0.31	C0036341
+7390	C0005586	CHEMBL1112	154	0.31	C0497327
+7391	C0005586	CHEMBL1112	154	0.31	C1263846
+7392	C0014544	CHEMBL1286	9900	0.02	C0001973
+7393	C0014544	CHEMBL1286	9900	0.02	C0028768
+7394	C0014544	CHEMBL1286	9900	0.02	C0036341
+7395	C0014544	CHEMBL1286	9900	0.02	C0038220
+7396	C0014544	CHEMBL1286	9900	0.02	C0234974
+7397	C0014544	CHEMBL1286	9900	0.02	C0497327
+7398	C0036341	CHEMBL1286	9900	0.31	C0001973
+7399	C0036341	CHEMBL1286	9900	0.31	C0014544
+7400	C0036341	CHEMBL1286	9900	0.31	C0028768
+7401	C0036341	CHEMBL1286	9900	0.31	C0038220
+7402	C0036341	CHEMBL1286	9900	0.31	C0234974
+7403	C0036341	CHEMBL1286	9900	0.31	C0497327
+7404	C0036341	CHEMBL1286	774	0.42	C0001973
+7405	C0036341	CHEMBL1286	774	0.42	C0014544
+7406	C0036341	CHEMBL1286	774	0.42	C0028768
+7407	C0036341	CHEMBL1286	774	0.42	C0038220
+7408	C0036341	CHEMBL1286	774	0.42	C0234974
+7409	C0036341	CHEMBL1286	774	0.42	C0497327
+7410	C0036341	CHEMBL940	774	0.42	C0030193
+7411	C0036341	CHEMBL940	774	0.42	C0032768
+7412	C0036341	CHEMBL940	774	0.42	C0035258
+7413	C0036341	CHEMBL940	774	0.42	C0150055
+7414	C0036341	CHEMBL940	774	0.42	C0497327
+7415	C0003873	CHEMBL503	3683	0.03	C0003850
+7416	C0003873	CHEMBL503	3683	0.03	C0020443
+7417	C0003873	CHEMBL503	3683	0.03	C0020473
+7418	C0003873	CHEMBL503	3683	0.03	C0020474
+7419	C0003873	CHEMBL503	3683	0.03	C0020557
+7420	C0003873	CHEMBL503	3683	0.03	C0025202
+7421	C0003873	CHEMBL503	3683	0.03	C0473527
+7422	C0027819	CHEMBL553	1956	0.09	C0007131
+7423	C0027819	CHEMBL553	1956	0.09	C0007134
+7424	C0027819	CHEMBL553	1956	0.09	C0007137
+7425	C0027819	CHEMBL553	1956	0.09	C0032463
+7426	C0027819	CHEMBL553	1956	0.09	C0033860
+7427	C0027819	CHEMBL553	1956	0.09	C0035412
+7428	C0027819	CHEMBL553	1956	0.09	C0553580
+7429	C0027819	CHEMBL553	1956	0.09	C1621958
+7430	C0007134	CHEMBL553	1956	0.1	C0007131
+7431	C0007134	CHEMBL553	1956	0.1	C0007137
+7432	C0007134	CHEMBL553	1956	0.1	C0027819
+7433	C0007134	CHEMBL553	1956	0.1	C0032463
+7434	C0007134	CHEMBL553	1956	0.1	C0033860
+7435	C0007134	CHEMBL553	1956	0.1	C0035412
+7436	C0007134	CHEMBL553	1956	0.1	C0553580
+7437	C0007134	CHEMBL553	1956	0.1	C1621958
+7438	C0007134	CHEMBL553	8856	0.03	C0007131
+7439	C0007134	CHEMBL553	8856	0.03	C0007137
+7440	C0007134	CHEMBL553	8856	0.03	C0027819
+7441	C0007134	CHEMBL553	8856	0.03	C0032463
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+7443	C0007134	CHEMBL553	8856	0.03	C0035412
+7444	C0007134	CHEMBL553	8856	0.03	C0553580
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+7446	C0028754	CHEMBL672	8856	0.32	C0008312
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+7448	C0028754	CHEMBL672	8856	0.32	C0020473
+7449	C0028754	CHEMBL672	8856	0.32	C0020474
+7450	C0028754	CHEMBL672	8856	0.32	C0020557
+7451	C0028754	CHEMBL672	8856	0.32	C0026764
+7452	C0028754	CHEMBL672	8856	0.32	C0242339
+7453	C0028754	CHEMBL672	8856	0.32	C0473527
+7454	C0011849	CHEMBL1431	5564	0.05	C0004238
+7456	C0011849	CHEMBL1431	5564	0.05	C0007131
+7458	C0011849	CHEMBL1431	5564	0.05	C0007137
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+7462	C0011849	CHEMBL1431	5564	0.05	C0242339
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+7466	C0026769	CHEMBL1434	7422	0.05	C0001144
+7467	C0026769	CHEMBL1434	7422	0.05	C0001261
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+7469	C0026769	CHEMBL1434	7422	0.05	C0006277
+7470	C0026769	CHEMBL1434	7422	0.05	C0006309
+7471	C0026769	CHEMBL1434	7422	0.05	C0010674
+7472	C0026769	CHEMBL1434	7422	0.05	C0011581
+7473	C0026769	CHEMBL1434	7422	0.05	C0018081
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+7516	C0026769	CHEMBL1434	3553	0.4	C0035854
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+7518	C0026769	CHEMBL1434	3553	0.4	C0039128
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+7574	C0028754	CHEMBL679	154	0.5	C0001627
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+7579	C0028754	CHEMBL679	154	0.5	C0013404
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+7747	C0036341	CHEMBL773	2903	0.5	C0026764
+7748	C0036341	CHEMBL773	2903	0.5	C0035455
+7749	C0036341	CHEMBL773	2903	0.5	C2607914
+7750	C0036341	CHEMBL773	2905	0.34	C0009443
+7751	C0036341	CHEMBL773	2905	0.34	C0010200
+7752	C0036341	CHEMBL773	2905	0.34	C0019345
+7753	C0036341	CHEMBL773	2905	0.34	C0026764
+7754	C0036341	CHEMBL773	2905	0.34	C0035455
+7755	C0036341	CHEMBL773	2905	0.34	C2607914
+7756	C0036341	CHEMBL773	6470	0.31	C0009443
+7757	C0036341	CHEMBL773	6470	0.31	C0010200
+7758	C0036341	CHEMBL773	6470	0.31	C0019345
+7759	C0036341	CHEMBL773	6470	0.31	C0026764
+7760	C0036341	CHEMBL773	6470	0.31	C0035455
+7761	C0036341	CHEMBL773	6470	0.31	C2607914
+7762	C0026769	CHEMBL386630	2099	0.02	C0010417
+7763	C0026769	CHEMBL386630	2099	0.02	C0018801
+7764	C0026769	CHEMBL386630	2099	0.02	C0020635
+7765	C0026769	CHEMBL386630	2099	0.02	C0022735
+7766	C0026769	CHEMBL386630	2099	0.02	C0034012
+7767	C0026769	CHEMBL386630	2099	0.02	C0271623
+7768	C0026769	CHEMBL386630	2099	0.02	C0600142
+7769	C0026769	CHEMBL386630	2099	0.02	C0948896
+7770	C0025202	CHEMBL554	1956	0.1	C0007137
+7771	C0025202	CHEMBL554	2064	0.1	C0007137
+7772	C0028754	CHEMBL266481	2740	0.3	C0020615
+7773	C0028754	CHEMBL266481	2642	0.02	C0020615
+7774	C0036341	CHEMBL629	4914	0.34	C0011581
+7776	C0036341	CHEMBL629	4914	0.34	C0030193
+7778	C0036341	CHEMBL629	4914	0.34	C0149931
+7780	C0036341	CHEMBL629	4914	0.34	C0497327
+7782	C0036341	CHEMBL629	4914	0.34	C0917801
+7784	C0036341	CHEMBL629	4915	0.37	C0011581
+7785	C0036341	CHEMBL629	4915	0.37	C0030193
+7786	C0036341	CHEMBL629	4915	0.37	C0149931
+7787	C0036341	CHEMBL629	4915	0.37	C0497327
+7788	C0036341	CHEMBL629	4915	0.37	C0917801
+7789	C0036341	CHEMBL629	3785	0.32	C0011581
+7790	C0036341	CHEMBL629	3785	0.32	C0030193
+7791	C0036341	CHEMBL629	3785	0.32	C0149931
+7792	C0036341	CHEMBL629	3785	0.32	C0497327
+7793	C0036341	CHEMBL629	3785	0.32	C0917801
+7794	C0036341	CHEMBL629	81033	0.3	C0011581
+7795	C0036341	CHEMBL629	81033	0.3	C0030193
+7796	C0036341	CHEMBL629	81033	0.3	C0149931
+7797	C0036341	CHEMBL629	81033	0.3	C0497327
+7798	C0036341	CHEMBL629	81033	0.3	C0917801
+7799	C0036341	CHEMBL395429	5021	0.33	C0001973
+7800	C0036341	CHEMBL395429	5021	0.33	C0028754
+7801	C0036341	CHEMBL395429	5021	0.33	C0032797
+7802	C0028754	CHEMBL395429	5021	0.02	C0001973
+7803	C0028754	CHEMBL395429	5021	0.02	C0032797
+7804	C0028754	CHEMBL395429	5021	0.02	C0036341
+7805	C0036341	CHEMBL911	2566	0.34	C0030567
+7806	C0036341	CHEMBL911	2566	0.34	C0497327
+7807	C0036341	CHEMBL911	2566	0.34	C0917801
+7808	C0036341	CHEMBL1396	1137	0.38	C0001973
+7809	C0036341	CHEMBL1396	1137	0.38	C0028043
+7810	C0036341	CHEMBL1396	1137	0.38	C0028754
+7811	C0036341	CHEMBL659	1139	0.4	C0002395
+7812	C0036341	CHEMBL659	1139	0.4	C0036337
+7813	C0036341	CHEMBL659	1139	0.4	C0038436
+7814	C0036341	CHEMBL659	1139	0.4	C0497327
+7815	C0002395	CHEMBL659	1139	0.4	C0036337
+7816	C0002395	CHEMBL659	1139	0.4	C0036341
+7817	C0002395	CHEMBL659	1139	0.4	C0038436
+7818	C0002395	CHEMBL659	1139	0.4	C0497327
+7819	C0036341	CHEMBL1396	1139	0.4	C0001973
+7820	C0036341	CHEMBL1396	1139	0.4	C0028043
+7821	C0036341	CHEMBL1396	1139	0.4	C0028754
+7822	C0036341	CHEMBL40	89832	0.4	C0009088
+7823	C0036341	CHEMBL40	89832	0.4	C0014544
+7824	C0036341	CHEMBL40	89832	0.4	C0014549
+7825	C0036341	CHEMBL40	89832	0.4	C0038220
+7826	C0036341	CHEMBL40	89832	0.4	C0042376
+7827	C0036341	CHEMBL40	89832	0.4	C0149931
+7828	C0036341	CHEMBL40	89832	0.4	C0234974
+7829	C0036341	CHEMBL40	89832	0.4	C0494475
+7830	C0036341	CHEMBL40	89832	0.4	C0497327
+7831	C0036341	CHEMBL659	89832	0.4	C0002395
+7832	C0036341	CHEMBL659	89832	0.4	C0036337
+7833	C0036341	CHEMBL659	89832	0.4	C0038436
+7834	C0036341	CHEMBL659	89832	0.4	C0497327
+7835	C0002395	CHEMBL659	89832	0.02	C0036337
+7836	C0002395	CHEMBL659	89832	0.02	C0036341
+7837	C0002395	CHEMBL659	89832	0.02	C0038436
+7838	C0002395	CHEMBL659	89832	0.02	C0497327
+7839	C0036341	CHEMBL1396	89832	0.4	C0001973
+7840	C0036341	CHEMBL1396	89832	0.4	C0028043
+7841	C0036341	CHEMBL1396	89832	0.4	C0028754
+7842	C0036341	CHEMBL40	2898	0.34	C0009088
+7843	C0036341	CHEMBL40	2898	0.34	C0014544
+7844	C0036341	CHEMBL40	2898	0.34	C0014549
+7845	C0036341	CHEMBL40	2898	0.34	C0038220
+7846	C0036341	CHEMBL40	2898	0.34	C0042376
+7847	C0036341	CHEMBL40	2898	0.34	C0149931
+7848	C0036341	CHEMBL40	2898	0.34	C0234974
+7849	C0036341	CHEMBL40	2898	0.34	C0494475
+7850	C0036341	CHEMBL40	2898	0.34	C0497327
+7851	C0036341	CHEMBL1201293	2915	0.4	C0001973
+7852	C0036341	CHEMBL1201293	2915	0.4	C0497327
+7853	C0036341	CHEMBL415	2950	0.36	C0028768
+7854	C0036341	CHEMBL415	2950	0.36	C0497327
+7855	C0028754	CHEMBL1581	1636	0.3	C0020538
+7856	C0007134	CHEMBL848	5743	0.59	C0007131
+7857	C0007134	CHEMBL848	5743	0.59	C0024305
+7858	C0007134	CHEMBL848	5743	0.59	C0024419
+7859	C0007134	CHEMBL848	5743	0.59	C0026764
+7860	C0007134	CHEMBL848	5743	0.59	C0030193
+7861	C0007134	CHEMBL848	5743	0.59	C0079774
+7862	C0007134	CHEMBL848	5743	0.59	C0334634
+7863	C0036341	CHEMBL641	3760	0.31	C0028043
+7864	C0036341	CHEMBL641	3760	0.31	C1263846
+7865	C0010674	CHEMBL1434	836	0.02	C0001144
+7866	C0010674	CHEMBL1434	836	0.02	C0001261
+7867	C0010674	CHEMBL1434	836	0.02	C0003175
+7868	C0010674	CHEMBL1434	836	0.02	C0006277
+7869	C0010674	CHEMBL1434	836	0.02	C0006309
+7870	C0010674	CHEMBL1434	836	0.02	C0011581
+7871	C0010674	CHEMBL1434	836	0.02	C0018081
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+7873	C0010674	CHEMBL1434	836	0.02	C0026769
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+7876	C0010674	CHEMBL1434	836	0.02	C0032064
+7877	C0010674	CHEMBL1434	836	0.02	C0032285
+7878	C0010674	CHEMBL1434	836	0.02	C0034362
+7879	C0010674	CHEMBL1434	836	0.02	C0035854
+7880	C0010674	CHEMBL1434	836	0.02	C0037199
+7881	C0010674	CHEMBL1434	836	0.02	C0039128
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+7883	C0028768	CHEMBL600	2904	0.02	C0002726
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+7885	C0028768	CHEMBL600	2904	0.02	C0006277
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+7887	C0028768	CHEMBL600	2904	0.02	C0392164
+7888	C0028768	CHEMBL600	2904	0.02	C2267227
+7889	C0028754	CHEMBL1201497	3643	0.1	C0011854
+7890	C0028754	CHEMBL1201497	3643	0.1	C0011860
+7891	C0028754	CHEMBL384467	190	0.02	C0001403
+7892	C0028754	CHEMBL384467	190	0.02	C0002726
+7893	C0028754	CHEMBL384467	190	0.02	C0002880
+7894	C0028754	CHEMBL384467	190	0.02	C0002994
+7895	C0028754	CHEMBL384467	190	0.02	C0003868
+7896	C0028754	CHEMBL384467	190	0.02	C0003872
+7897	C0028754	CHEMBL384467	190	0.02	C0003873
+7898	C0028754	CHEMBL384467	190	0.02	C0004096
+7899	C0028754	CHEMBL384467	190	0.02	C0005138
+7900	C0028754	CHEMBL384467	190	0.02	C0006114
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+7902	C0028754	CHEMBL384467	190	0.02	C0006444
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+7904	C0028754	CHEMBL384467	190	0.02	C0007134
+7905	C0028754	CHEMBL384467	190	0.02	C0009766
+7906	C0028754	CHEMBL384467	190	0.02	C0010032
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+7908	C0028754	CHEMBL384467	190	0.02	C0010346
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+7910	C0028754	CHEMBL384467	190	0.02	C0011608
+7911	C0028754	CHEMBL384467	190	0.02	C0011615
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+7913	C0028754	CHEMBL384467	190	0.02	C0014742
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+7915	C0028754	CHEMBL384467	190	0.02	C0015397
+7916	C0028754	CHEMBL384467	190	0.02	C0019829
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+8076	C0014544	CHEMBL723	3757	0.03	C0020538
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+8078	C0014544	CHEMBL723	3757	0.03	C2973725
+8079	C0014544	CHEMBL16	773	0.18	C0014547
+8080	C0014544	CHEMBL16	773	0.18	C0014549
+8081	C0014544	CHEMBL16	773	0.18	C0027819
+8082	C0014544	CHEMBL16	773	0.18	C0036341
+8083	C0014544	CHEMBL16	773	0.18	C0038220
+8084	C0014544	CHEMBL16	773	0.18	C0234974
+8085	C0014544	CHEMBL16	773	0.18	C0494475
+8086	C0014544	CHEMBL16	773	0.18	C0497327
+8087	C0014544	CHEMBL16	6334	0.7	C0014547
+8088	C0014544	CHEMBL16	6334	0.7	C0014549
+8089	C0014544	CHEMBL16	6334	0.7	C0027819
+8090	C0014544	CHEMBL16	6334	0.7	C0036341
+8091	C0014544	CHEMBL16	6334	0.7	C0038220
+8092	C0014544	CHEMBL16	6334	0.7	C0234974
+8093	C0014544	CHEMBL16	6334	0.7	C0494475
+8094	C0014544	CHEMBL16	6334	0.7	C0497327
+8095	C0002395	CHEMBL659	590	0.4	C0036337
+8096	C0002395	CHEMBL659	590	0.4	C0036341
+8097	C0002395	CHEMBL659	590	0.4	C0038436
+8098	C0002395	CHEMBL659	590	0.4	C0497327
+8099	C0002395	CHEMBL636	590	0.4	C0036341
+8100	C0002395	CHEMBL636	590	0.4	C0497327
+8101	C0002395	CHEMBL94	43	0.4	C0017612
+8102	C0003873	CHEMBL1535	54106	0.02	C0007131
+8103	C0003873	CHEMBL1535	54106	0.02	C0007134
+8104	C0003873	CHEMBL1535	54106	0.02	C0024138
+8105	C0003873	CHEMBL1535	54106	0.02	C0024141
+8106	C0003873	CHEMBL1535	54106	0.02	C0024535
+8107	C0003873	CHEMBL1535	54106	0.02	C0024537
+8108	C0003873	CHEMBL76	54106	0.02	C0024138
+8109	C0003873	CHEMBL76	54106	0.02	C0024141
+8110	C0003873	CHEMBL76	54106	0.02	C0024530
+8111	C0003873	CHEMBL76	54106	0.02	C0024535
+8112	C0003873	CHEMBL76	54106	0.02	C0024537
+8113	C0003873	CHEMBL76	54106	0.02	C0026764
+8114	C0003873	CHEMBL521	1080	0.02	C0009443
+8115	C0003873	CHEMBL521	1080	0.02	C0013274
+8116	C0003873	CHEMBL521	1080	0.02	C0013390
+8117	C0003873	CHEMBL521	1080	0.02	C0015967
+8118	C0003873	CHEMBL521	1080	0.02	C0029408
+8119	C0003873	CHEMBL521	1080	0.02	C0030193
+8120	C0003873	CHEMBL521	1080	0.02	C0030201
+8121	C0003873	CHEMBL521	1080	0.02	C0393735
+8122	C0003873	CHEMBL521	1080	0.02	C2215257
+8123	C0003873	CHEMBL521	1080	0.02	C3495559
+8124	C0003873	CHEMBL521	5468	0.02	C0009443
+8125	C0003873	CHEMBL521	5468	0.02	C0013274
+8126	C0003873	CHEMBL521	5468	0.02	C0013390
+8127	C0003873	CHEMBL521	5468	0.02	C0015967
+8128	C0003873	CHEMBL521	5468	0.02	C0029408
+8129	C0003873	CHEMBL521	5468	0.02	C0030193
+8130	C0003873	CHEMBL521	5468	0.02	C0030201
+8131	C0003873	CHEMBL521	5468	0.02	C0393735
+8132	C0003873	CHEMBL521	5468	0.02	C2215257
+8133	C0003873	CHEMBL521	5468	0.02	C3495559
+8134	C0003873	CHEMBL6	5468	0.02	C0006444
+8135	C0003873	CHEMBL6	5468	0.02	C0013274
+8136	C0003873	CHEMBL6	5468	0.02	C0018099
+8137	C0003873	CHEMBL6	5468	0.02	C0029408
+8138	C0003873	CHEMBL6	5468	0.02	C0035435
+8139	C0003873	CHEMBL6	5468	0.02	C0038013
+8140	C0003873	CHEMBL6	5468	0.02	C0039103
+8141	C0003873	CHEMBL6	5468	0.02	C0039503
+8142	C0003873	CHEMBL421	5468	0.02	C0009324
+8143	C0003873	CHEMBL421	5468	0.02	C3495559
+8144	C0003873	CHEMBL521	596	0.1	C0009443
+8145	C0003873	CHEMBL521	596	0.1	C0013274
+8146	C0003873	CHEMBL521	596	0.1	C0013390
+8147	C0003873	CHEMBL521	596	0.1	C0015967
+8148	C0003873	CHEMBL521	596	0.1	C0029408
+8149	C0003873	CHEMBL521	596	0.1	C0030193
+8150	C0003873	CHEMBL521	596	0.1	C0030201
+8151	C0003873	CHEMBL521	596	0.1	C0393735
+8152	C0003873	CHEMBL521	596	0.1	C2215257
+8153	C0003873	CHEMBL521	596	0.1	C3495559
+8154	C0003873	CHEMBL6	5320	0.02	C0006444
+8155	C0003873	CHEMBL6	5320	0.02	C0013274
+8156	C0003873	CHEMBL6	5320	0.02	C0018099
+8157	C0003873	CHEMBL6	5320	0.02	C0029408
+8158	C0003873	CHEMBL6	5320	0.02	C0035435
+8159	C0003873	CHEMBL6	5320	0.02	C0038013
+8160	C0003873	CHEMBL6	5320	0.02	C0039103
+8161	C0003873	CHEMBL6	5320	0.02	C0039503
+8162	C0003873	CHEMBL571	3577	0.02	C0006444
+8163	C0003873	CHEMBL571	3577	0.02	C0013390
+8164	C0003873	CHEMBL571	3577	0.02	C0029408
+8165	C0003873	CHEMBL571	3577	0.02	C0030193
+8166	C0003873	CHEMBL571	3577	0.02	C0149931
+8167	C0020538	CHEMBL1237	5972	0.6	C0027051
+8168	C0005586	CHEMBL742	6530	0.33	C0008311
+8169	C0005586	CHEMBL742	6530	0.33	C0011581
+8170	C0005586	CHEMBL742	6530	0.33	C0014544
+8171	C0005586	CHEMBL742	6530	0.33	C0028768
+8172	C0005586	CHEMBL742	6530	0.33	C0030193
+8173	C0005586	CHEMBL742	6530	0.33	C0030305
+8174	C0005586	CHEMBL742	6530	0.33	C0038220
+8175	C0005586	CHEMBL742	6530	0.33	C0150055
+8176	C0005586	CHEMBL742	6530	0.33	C0184567
+8177	C0005586	CHEMBL742	6530	0.33	C1269683
+8178	C0003873	CHEMBL509	240	0.35	C0013390
+8179	C0003873	CHEMBL509	240	0.35	C0025323
+8180	C0003873	CHEMBL509	240	0.35	C0029408
+8181	C0003873	CHEMBL509	240	0.35	C0030193
+8182	C0003873	CHEMBL421	240	0.35	C0009324
+8183	C0003873	CHEMBL421	240	0.35	C3495559
+8184	C0014544	CHEMBL45029	2559	0.02	C0014549
+8185	C0014544	CHEMBL448	2559	0.02	C0038220
+8186	C0014544	CHEMBL448	2559	0.02	C0917798
+8187	C0014544	CHEMBL448	2559	0.02	C0917801
+8188	C0014544	CHEMBL856	2559	0.02	C0014547
+8189	C0014544	CHEMBL856	2559	0.02	C0014549
+8190	C0014544	CHEMBL856	2559	0.02	C0234974
+8191	C0014544	CHEMBL856	2559	0.02	C0494475
+8192	C0014544	CHEMBL441	2559	0.02	C0033845
+8193	C0014544	CHEMBL441	2559	0.02	C0038220
+8194	C0014544	CHEMBL267894	2559	0.02	C0038220
+8195	C0014544	CHEMBL267894	2559	0.02	C0917801
+8196	C0014544	CHEMBL447	2559	0.02	C0038220
+8197	C0014544	CHEMBL447	2559	0.02	C0917801
+8198	C0014544	CHEMBL45029	2556	0.02	C0014549
+8199	C0014544	CHEMBL448	2556	0.02	C0038220
+8200	C0014544	CHEMBL448	2556	0.02	C0917798
+8201	C0014544	CHEMBL448	2556	0.02	C0917801
+8202	C0014544	CHEMBL856	2556	0.02	C0014547
+8203	C0014544	CHEMBL856	2556	0.02	C0014549
+8204	C0014544	CHEMBL856	2556	0.02	C0234974
+8205	C0014544	CHEMBL856	2556	0.02	C0494475
+8206	C0014544	CHEMBL441	2556	0.02	C0033845
+8207	C0014544	CHEMBL441	2556	0.02	C0038220
+8208	C0014544	CHEMBL267894	2556	0.02	C0038220
+8209	C0014544	CHEMBL267894	2556	0.02	C0917801
+8210	C0014544	CHEMBL447	2556	0.02	C0038220
+8211	C0014544	CHEMBL447	2556	0.02	C0917801
+8212	C0017205	CHEMBL1029	7357	0.03	C0220756
+8213	C0030567	CHEMBL972	4128	0.4	C1269683
+8214	C0030567	CHEMBL972	4129	0.6	C1269683
+8215	C0003873	CHEMBL421	3551	0.02	C0009324
+8216	C0003873	CHEMBL421	3551	0.02	C3495559
+8217	C0003873	CHEMBL421	5319	0.06	C0009324
+8218	C0003873	CHEMBL421	5319	0.06	C3495559
+8219	C0010308	CHEMBL1624	7067	0.4	C0018021
+8220	C0010308	CHEMBL1624	7067	0.4	C0020473
+8221	C0010308	CHEMBL1624	7067	0.4	C0020676
+8222	C0010308	CHEMBL1624	7067	0.4	C0027145
+8223	C0010308	CHEMBL1624	7067	0.4	C0677607
+8224	C0010308	CHEMBL1544	7067	0.4	C0018021
+8225	C0010308	CHEMBL1544	7067	0.4	C0020676
+8226	C0010308	CHEMBL1544	7067	0.4	C0027145
+8227	C0003873	CHEMBL1542	5879	0.02	C0009324
+8228	C0003873	CHEMBL1542	5879	0.02	C0010346
+8229	C0003873	CHEMBL1542	5879	0.02	C0024141
+8230	C0020538	CHEMBL611	7040	0.6	C1739363
+8231	C0007134	CHEMBL477772	2261	0.12	C1261473
+8232	C0007134	CHEMBL1289601	2261	0.12	C0206682
+8233	C0007134	CHEMBL1289601	2261	0.12	C0238463
+8234	C0023434	CHEMBL2216870	5293	0.1	C0024301
+8235	C0003873	CHEMBL1201570	3554	0.03	C0409818
+8236	C0003873	CHEMBL1201570	3554	0.03	C2316212
+8237	C0003873	CHEMBL76	2944	0.07	C0024138
+8238	C0003873	CHEMBL76	2944	0.07	C0024141
+8239	C0003873	CHEMBL76	2944	0.07	C0024530
+8240	C0003873	CHEMBL76	2944	0.07	C0024535
+8241	C0003873	CHEMBL76	2944	0.07	C0024537
+8242	C0003873	CHEMBL76	2944	0.07	C0026764
+8243	C0003873	CHEMBL76	3146	0.08	C0024138
+8244	C0003873	CHEMBL76	3146	0.08	C0024141
+8245	C0003873	CHEMBL76	3146	0.08	C0024530
+8246	C0003873	CHEMBL76	3146	0.08	C0024535
+8247	C0003873	CHEMBL76	3146	0.08	C0024537
+8248	C0003873	CHEMBL76	3146	0.08	C0026764
+8249	C0004153	CHEMBL1464	79001	0.03	C0004238
+8250	C0004153	CHEMBL1464	79001	0.03	C0007780
+8251	C0004153	CHEMBL1464	79001	0.03	C0019080
+8252	C0004153	CHEMBL1464	79001	0.03	C0020542
+8253	C0004153	CHEMBL1464	79001	0.03	C0026764
+8254	C0004153	CHEMBL1464	79001	0.03	C0040038
+8255	C0004153	CHEMBL1464	79001	0.03	C0040053
+8256	C0004153	CHEMBL1464	79001	0.03	C0149871
+8257	C0004153	CHEMBL1464	79001	0.03	C0524702
+8258	C0003873	CHEMBL468	4790	0.1	C0011644
+8259	C0003873	CHEMBL468	4790	0.1	C0014175
+8260	C0003873	CHEMBL468	4790	0.1	C0019829
+8261	C0003873	CHEMBL468	4790	0.1	C0026764
+8262	C0003873	CHEMBL468	4790	0.1	C0042164
+8263	C0002395	CHEMBL1276308	2908	0.08	C0011581
+8264	C0002395	CHEMBL1276308	2908	0.08	C0028043
+8265	C0002395	CHEMBL121	5468	0.4	C0011849
+8266	C0002395	CHEMBL121	5468	0.4	C0014175
+8267	C0002395	CHEMBL121	5468	0.4	C0024530
+8268	C0002395	CHEMBL121	5468	0.4	C0242339
+8269	C0002395	CHEMBL1064	3066	0.02	C0003850
+8270	C0002395	CHEMBL1064	3066	0.02	C0004153
+8271	C0002395	CHEMBL1064	3066	0.02	C0005586
+8272	C0002395	CHEMBL1064	3066	0.02	C0010674
+8273	C0002395	CHEMBL1064	3066	0.02	C0011849
+8274	C0002395	CHEMBL1064	3066	0.02	C0020443
+8275	C0002395	CHEMBL1064	3066	0.02	C0020473
+8276	C0002395	CHEMBL1064	3066	0.02	C0020474
+8277	C0002395	CHEMBL1064	3066	0.02	C0020479
+8278	C0002395	CHEMBL1064	3066	0.02	C0020557
+8279	C0002395	CHEMBL1064	3066	0.02	C0027051
+8280	C0002395	CHEMBL1064	3066	0.02	C0032285
+8281	C0002395	CHEMBL1064	3066	0.02	C0038454
+8282	C0002395	CHEMBL1064	3066	0.02	C0242339
+8283	C0002395	CHEMBL1064	3066	0.02	C0473527
+8284	C0002395	CHEMBL1064	3066	0.02	C0751967
+8285	C0003873	CHEMBL1622	2350	0.03	C0007134
+8286	C0003873	CHEMBL1622	2350	0.03	C0016412
+8287	C0003873	CHEMBL1622	2350	0.03	C0033860
+8288	C0003873	CHEMBL1622	2350	0.03	C0162316
+8289	C0003125	CHEMBL716	3352	0.04	C0005586
+8290	C0003125	CHEMBL716	3352	0.04	C0005587
+8291	C0003125	CHEMBL716	3352	0.04	C0036337
+8292	C0003125	CHEMBL716	3352	0.04	C0036341
+8293	C0003125	CHEMBL716	3352	0.04	C0497327
+8294	C0003125	CHEMBL716	3352	0.04	C1269683
+8295	C0005586	CHEMBL742	590	0.31	C0008311
+8296	C0005586	CHEMBL742	590	0.31	C0011581
+8297	C0005586	CHEMBL742	590	0.31	C0014544
+8298	C0005586	CHEMBL742	590	0.31	C0028768
+8299	C0005586	CHEMBL742	590	0.31	C0030193
+8300	C0005586	CHEMBL742	590	0.31	C0030305
+8301	C0005586	CHEMBL742	590	0.31	C0038220
+8302	C0005586	CHEMBL742	590	0.31	C0150055
+8303	C0005586	CHEMBL742	590	0.31	C0184567
+8304	C0005586	CHEMBL742	590	0.31	C1269683
+8305	C0005586	CHEMBL742	4842	0.05	C0008311
+8306	C0005586	CHEMBL742	4842	0.05	C0011581
+8307	C0005586	CHEMBL742	4842	0.05	C0014544
+8308	C0005586	CHEMBL742	4842	0.05	C0028768
+8309	C0005586	CHEMBL742	4842	0.05	C0030193
+8310	C0005586	CHEMBL742	4842	0.05	C0030305
+8311	C0005586	CHEMBL742	4842	0.05	C0038220
+8312	C0005586	CHEMBL742	4842	0.05	C0150055
+8313	C0005586	CHEMBL742	4842	0.05	C0184567
+8314	C0005586	CHEMBL742	4842	0.05	C1269683
+8315	C0005586	CHEMBL742	6869	0.52	C0008311
+8316	C0005586	CHEMBL742	6869	0.52	C0011581
+8317	C0005586	CHEMBL742	6869	0.52	C0014544
+8318	C0005586	CHEMBL742	6869	0.52	C0028768
+8319	C0005586	CHEMBL742	6869	0.52	C0030193
+8320	C0005586	CHEMBL742	6869	0.52	C0030305
+8321	C0005586	CHEMBL742	6869	0.52	C0038220
+8322	C0005586	CHEMBL742	6869	0.52	C0150055
+8323	C0005586	CHEMBL742	6869	0.52	C0184567
+8324	C0005586	CHEMBL742	6869	0.52	C1269683
+8325	C0005586	CHEMBL742	116443	0.31	C0008311
+8326	C0005586	CHEMBL742	116443	0.31	C0011581
+8327	C0005586	CHEMBL742	116443	0.31	C0014544
+8328	C0005586	CHEMBL742	116443	0.31	C0028768
+8329	C0005586	CHEMBL742	116443	0.31	C0030193
+8330	C0005586	CHEMBL742	116443	0.31	C0030305
+8331	C0005586	CHEMBL742	116443	0.31	C0038220
+8332	C0005586	CHEMBL742	116443	0.31	C0150055
+8333	C0005586	CHEMBL742	116443	0.31	C0184567
+8334	C0005586	CHEMBL742	116443	0.31	C1269683
+8335	C0011849	CHEMBL472	19	0.08	C0011860
+8336	C0011849	CHEMBL472	1080	0.05	C0011860
+8337	C0011849	CHEMBL472	1374	0.31	C0011860
+8338	C0011849	CHEMBL472	3767	0.2	C0011860
+8339	C0026769	CHEMBL314854	1901	0.05	C0751964
+8340	C0026769	CHEMBL314854	1901	0.05	C0751967
+8341	C0036341	CHEMBL1201222	134864	0.31	C0596170
+8342	C0036341	CHEMBL1201222	134864	0.31	C1263846
+8343	C0036341	CHEMBL1201222	134864	0.31	C1269683
+8344	C0025202	CHEMBL1229517	673	1.0	C0026764
+8345	C0003873	CHEMBL932	100	0.02	C0004238
+8346	C0036341	CHEMBL19224	5142	0.4	C0085096
+8347	C0036341	CHEMBL19224	5142	0.4	C0917798
+8348	C0036341	CHEMBL19224	10846	0.06	C0085096
+8349	C0036341	CHEMBL19224	10846	0.06	C0917798
+8350	C0025202	CHEMBL1131	5914	0.02	C0033860
+8351	C0025202	CHEMBL1131	5915	0.02	C0033860
+8352	C0025202	CHEMBL1131	6256	0.02	C0033860
+8353	C0010674	CHEMBL1520	8654	0.03	C0242350
+8354	C0026769	CHEMBL1201563	3454	0.03	C0751967
+8355	C0026769	CHEMBL1201563	3455	0.02	C0751967
diff --git a/Data/Input/DISNET/score_gdas_two_repodb.tsv b/Data/Input/DISNET/score_gdas_two_repodb.tsv
new file mode 100644
index 0000000000000000000000000000000000000000..87a64dd3223445dda8da0e8a888939866721c349
--- /dev/null
+++ b/Data/Input/DISNET/score_gdas_two_repodb.tsv
@@ -0,0 +1,165 @@
+	drug_id	disease_id	gene_id	score
+0	CHEMBL59	C0242422	6531	0.2
+1	CHEMBL1201203	C0242422	6531	0.2
+2	CHEMBL1201236	C0242422	1644	0.31
+3	CHEMBL1237	C0027051	5972	0.4
+4	CHEMBL1237	C0027051	5972	0.4
+5	CHEMBL1237	C0027051	5972	0.4
+6	CHEMBL1237	C0027051	5972	0.4
+7	CHEMBL25	C0027051	834	0.02
+8	CHEMBL25	C0027051	834	0.02
+9	CHEMBL25	C0027051	834	0.02
+10	CHEMBL25	C0027051	834	0.02
+11	CHEMBL25	C0027051	834	0.02
+12	CHEMBL25	C0027051	834	0.02
+13	CHEMBL25	C0029408	834	0.02
+14	CHEMBL25	C0029408	834	0.02
+15	CHEMBL25	C0029408	834	0.02
+16	CHEMBL25	C0029408	834	0.02
+17	CHEMBL25	C0029408	834	0.02
+18	CHEMBL25	C0029408	834	0.02
+19	CHEMBL25	C0027051	836	0.32
+20	CHEMBL25	C0027051	836	0.32
+21	CHEMBL25	C0027051	836	0.32
+22	CHEMBL25	C0027051	836	0.32
+23	CHEMBL25	C0027051	836	0.32
+24	CHEMBL25	C0027051	836	0.32
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diff --git a/Data/Input/DISNET/triplets_total.csv b/Data/Input/DISNET/triplets_total.csv
new file mode 100644
index 0000000000000000000000000000000000000000..c635f8918a55fe1d73949d262aed400625afc13f
--- /dev/null
+++ b/Data/Input/DISNET/triplets_total.csv
@@ -0,0 +1,165 @@
+disease_PwB;drug_id;disease_no_PwB
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diff --git a/Data/Output/count_drug_target.csv b/Data/Output/count_drug_target.csv
new file mode 100644
index 0000000000000000000000000000000000000000..c7f041474cd82219b2d093f3437bac7c2b215db3
--- /dev/null
+++ b/Data/Output/count_drug_target.csv
@@ -0,0 +1,15 @@
+ATC_LEVEL
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diff --git a/Notebooks/Results/.ipynb_checkpoints/1.1 Patterns DREBIOP - Pathway-based  treated disease-checkpoint.ipynb b/Notebooks/Results/.ipynb_checkpoints/1.1 Patterns DREBIOP - Pathway-based  treated disease-checkpoint.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..b088a7bed451f46abfe01fd1068295d20fe56270
--- /dev/null
+++ b/Notebooks/Results/.ipynb_checkpoints/1.1 Patterns DREBIOP - Pathway-based  treated disease-checkpoint.ipynb	
@@ -0,0 +1,523 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "from sqlalchemy import create_engine\n",
+    "from sklearn import preprocessing\n",
+    "import mysql.connector\n",
+    "from pandas import DataFrame"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Triples_target_final = pd.read_csv(\"./Data/Input/DISNET/Triples_target_final.tsv\", sep='\\t')\n",
+    "Triples_target_final = Triples_target_final.drop([\"Unnamed: 0\"],axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "triplets_total = pd.read_csv('./Data/Input/DISNET/triplets_total.csv', sep=';')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "triplets_total = triplets_total.drop_duplicates()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "disease_id = triplets_total[\"disease_PwB\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def convert(lista):\n",
+    "    return tuple(i for i in lista)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "('C0020538', 'C0020538', 'C0020538', 'C0020538', 'C0030567', 'C0030567', 'C0030567', 'C0020538', 'C0020538', 'C0020538', 'C0020538', 'C0020538', 'C0020538', 'C0020538', 'C0020538', 'C0035579', 'C0035579', 'C0035579', 'C0035579', 'C0035579', 'C0035579', 'C0035579', 'C0035579', 'C0035579', 'C0035579', 'C0035579', 'C0030567', 'C0035579', 'C0035579', 'C0020538', 'C0030567', 'C0030567', 'C0035579', 'C0035579', 'C0035579', 'C0035579', 'C0035579', 'C0035579', 'C0035579', 'C0035579', 'C0035579', 'C0026769', 'C0026769', 'C0026769', 'C0026769', 'C0026769', 'C0026769', 'C0026769', 'C0026769', 'C0026769', 'C0026769', 'C0026769', 'C0026769', 'C0026769', 'C0026769', 'C0026769', 'C0030567', 'C0030567', 'C0030567', 'C0030567', 'C0030567', 'C0030567', 'C0030567', 'C0020538', 'C0020538', 'C0020538', 'C0020538', 'C0035579', 'C0035579', 'C0035579', 'C0030567', 'C0020538', 'C0002892', 'C0002892', 'C0002892', 'C0002892', 'C0002892', 'C0035579', 'C0030567', 'C0030567', 'C0002395', 'C0002395', 'C0002395', 'C0002395', 'C0030567', 'C0030567', 'C0035579', 'C0035579', 'C0035579', 'C0035579', 'C0035579', 'C0035579', 'C0035579', 'C0026769', 'C0026769', 'C0026769', 'C0026769', 'C0026769', 'C0026769', 'C0026769', 'C0026769', 'C0026769', 'C0026769', 'C0026769', 'C0026769', 'C0026769', 'C0026769', 'C0026769', 'C0026769', 'C0026769', 'C0025202', 'C0030567', 'C0030567', 'C0030567', 'C0030567', 'C0030567', 'C0020538')\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Driver function\n",
+    "lista = disease_id\n",
+    "print(convert(lista))\n",
+    "list_disease_id = convert(lista)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dis_gen = f'''SELECT disease_id, gene_id FROM disnet_biolayer.disease_gene\n",
+    "where sio_id != 'SIO_001120'\n",
+    "and sio_id != 'NO_CURATED'\n",
+    "and disease_id IN {list_disease_id}\n",
+    ";'''"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dis_gen=pd.read_sql(dis_gen, con=disnet_db_ares)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dis_gen_num_gen = dis_gen.groupby(['disease_id']).count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dis_gen_num_gen = dis_gen_num_gen.reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "581.8571428571429"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dis_gen_num_gen[\"gene_id\"].mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "count       7.000000\n",
+       "mean      581.857143\n",
+       "std       464.301780\n",
+       "min         3.000000\n",
+       "25%       267.500000\n",
+       "50%       559.000000\n",
+       "75%       854.500000\n",
+       "max      1267.000000\n",
+       "Name: gene_id, dtype: float64"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dis_gen_num_gen[\"gene_id\"].describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#### pw via gene"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dis_gen_pw = f'''\n",
+    "SELECT dg.disease_id,gp.pathway_id\n",
+    "        FROM disnet_biolayer.disease_gene dg \n",
+    "    JOIN disnet_biolayer.disease ds ON ds.disease_id = dg.disease_id\n",
+    "    JOIN disnet_biolayer.tmp_gene_pathway gp ON gp.gene_id = dg.gene_id\n",
+    "    where dg.disease_id in {list_disease_id}\n",
+    "'''"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dis_gen_pw=pd.read_sql(dis_gen_pw, con=disnet_db_ares)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dis_gen_pw = dis_gen_pw.groupby(['disease_id']).count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dis_gen_pw = dis_gen_pw.reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1847.142857142857"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dis_gen_pw[\"pathway_id\"].mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "count       7.000000\n",
+       "mean     1847.142857\n",
+       "std      1531.396251\n",
+       "min         3.000000\n",
+       "25%       795.000000\n",
+       "50%      1640.000000\n",
+       "75%      2748.500000\n",
+       "max      4200.000000\n",
+       "Name: pathway_id, dtype: float64"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dis_gen_pw[\"pathway_id\"].describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#### pw direct"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dis_path_direct = pd.read_csv('./Data/Input/DISNET/disease_pathway.tsv', sep='\\t')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "triplets_total_fil = triplets_total.drop([\"disease_no_PwB\",\"drug_id\"],axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "triplets_total_fil = triplets_total_fil.rename(columns={\"disease_PwB\": \"disease_id\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dr_pw = triplets_total_fil.merge(dis_path_direct,on=\"disease_id\",how= \"inner\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dr_pw = dr_pw.groupby(['disease_id']).count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dr_pw = dr_pw.reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "42.0"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dr_pw[\"pathway_id\"].mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "### drug"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "drug = f'''SELECT disease_id,drug_id FROM disnet_drugslayer.drug_disease\n",
+    "where disease_id in {list_disease_id}'''"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "drug=pd.read_sql(drug, con=disnet_db_ares)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "drug = drug.groupby(['disease_id']).count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "drug = drug.reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "685.5714285714286"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "drug[\"drug_id\"].mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "### symptom"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sint = f'''SELECT DISTINCT\n",
+    "        ds.disease_id,s.cui as symptom \n",
+    "        FROM disnet_biolayer.disease ds \n",
+    "            JOIN edsssdb.layersmappings lm on ds.disease_id = lm.cui\n",
+    "            JOIN edsssdb.disease_symptom dsy ON lm.disnet_id = dsy.disease_id\n",
+    "            JOIN edsssdb.symptom s ON dsy.cui = s.cui\n",
+    "       where ds.disease_id in {list_disease_id}\n",
+    "'''"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sint_all=pd.read_sql(sint, con=disnet_db_ares)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sint_all = sint_all.groupby(['disease_id']).count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sint_all = sint_all.reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "83.71428571428571"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sint_all[\"symptom\"].mean()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Notebooks/Results/.ipynb_checkpoints/1.2  Patterns DREBIOP - Target gene-based  treated disease-checkpoint.ipynb b/Notebooks/Results/.ipynb_checkpoints/1.2  Patterns DREBIOP - Target gene-based  treated disease-checkpoint.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..c9b32c969e6c6e3a00ea360da104a4d3436568ea
--- /dev/null
+++ b/Notebooks/Results/.ipynb_checkpoints/1.2  Patterns DREBIOP - Target gene-based  treated disease-checkpoint.ipynb	
@@ -0,0 +1,495 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "from sqlalchemy import create_engine\n",
+    "from sklearn import preprocessing\n",
+    "import mysql.connector\n",
+    "from pandas import DataFrame"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Triples_target_final = pd.read_csv(\"./Data/Input/DISNET/Triples_target_final.tsv\", sep='\\t')\n",
+    "Triples_target_final = Triples_target_final.drop([\"Unnamed: 0\"],axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "triplets_total = pd.read_csv('./Data/Input/DISNET/triplets_total.csv', sep=';')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "triplets_total = triplets_total.drop_duplicates()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "disease_id = triplets_total[\"disease_no_PwB\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def convert(lista):\n",
+    "    return tuple(i for i in lista)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "('C0018802', 'C0018802', 'C0004238', 'C0011881', 'C0001206', 'C0020649', 'C0024586', 'C0010674', 'C0011881', 'C0004238', 'C0003962', 'C0013604', 'C0020428', 'C0020473', 'C0018801', 'C0004096', 'C0009324', 'C0010346', 'C0011849', 'C0020598', 'C0020626', 'C0024141', 'C0026769', 'C0028754', 'C0029456', 'C0029458', 'C0015371', 'C0020598', 'C0035086', 'C0011881', 'C0002395', 'C0026769', 'C0020598', 'C0020626', 'C0029456', 'C0029458', 'C0020598', 'C0020626', 'C0020598', 'C0020626', 'C0035086', 'C0003862', 'C0003873', 'C0004153', 'C0004604', 'C0009443', 'C0026764', 'C0001144', 'C0001261', 'C0003175', 'C0006277', 'C0006309', 'C0010674', 'C0011581', 'C0018081', 'C0023860', 'C0027404', 'C0030193', 'C0016053', 'C0184567', 'C0242422', 'C0600177', 'C1621958', 'C0027051', 'C0028754', 'C0038454', 'C0038454', 'C0036337', 'C0036341', 'C0042870', 'C0242422', 'C1739363', 'C0042847', 'C0162316', 'C0006114', 'C0033860', 'C0042847', 'C0085682', 'C0184567', 'C0242422', 'C0026769', 'C0030567', 'C0036341', 'C0497327', 'C0036341', 'C0497327', 'C0042870', 'C3536984', 'C0039621', 'C0085682', 'C0042870', 'C0085682', 'C1527383', 'C0027051', 'C0029408', 'C0030193', 'C0032463', 'C0040460', 'C0149931', 'C0393735', 'C0948089', 'C0031099', 'C0031350', 'C0032064', 'C0032285', 'C0034362', 'C0035854', 'C0037199', 'C0039128', 'C0042029', 'C0026764', 'C0036341', 'C1269683', 'C0036341', 'C0497327', 'C1269683', 'C0002395')\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Driver function\n",
+    "lista = disease_id\n",
+    "print(convert(lista))\n",
+    "list_disease_id = convert(lista)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dis_gen = f'''SELECT disease_id, gene_id FROM disnet_biolayer.disease_gene\n",
+    "where sio_id != 'SIO_001120'\n",
+    "and sio_id != 'NO_CURATED'\n",
+    "and disease_id IN {list_disease_id}\n",
+    ";'''"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dis_gen=pd.read_sql(dis_gen, con=disnet_db_ares)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dis_gen_num_gen = dis_gen.groupby(['disease_id']).count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dis_gen_num_gen = dis_gen_num_gen.reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "228.91780821917808"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dis_gen_num_gen[\"gene_id\"].mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "count      73.000000\n",
+       "mean      228.917808\n",
+       "std       301.082480\n",
+       "min         1.000000\n",
+       "25%        14.000000\n",
+       "50%        79.000000\n",
+       "75%       392.000000\n",
+       "max      1369.000000\n",
+       "Name: gene_id, dtype: float64"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dis_gen_num_gen[\"gene_id\"].describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#### pw via gene"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dis_gen_pw = f'''\n",
+    "SELECT dg.disease_id,gp.pathway_id\n",
+    "        FROM disnet_biolayer.disease_gene dg \n",
+    "    JOIN disnet_biolayer.disease ds ON ds.disease_id = dg.disease_id\n",
+    "    JOIN disnet_biolayer.tmp_gene_pathway gp ON gp.gene_id = dg.gene_id\n",
+    "    where dg.disease_id in {list_disease_id}\n",
+    "'''"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dis_gen_pw=pd.read_sql(dis_gen_pw, con=disnet_db_ares)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dis_gen_pw = dis_gen_pw.groupby(['disease_id']).count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dis_gen_pw = dis_gen_pw.reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "766.2361111111111"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dis_gen_pw[\"pathway_id\"].mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#### pw direct"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dis_path_direct = pd.read_csv('./Data/Input/DISNET/disease_pathway.tsv', sep='\\t')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "triplets_total_fil = triplets_total.drop([\"disease_PwB\",\"drug_id\"],axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "triplets_total_fil = triplets_total_fil.rename(columns={\"disease_no_PwB\": \"disease_id\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dr_pw = triplets_total_fil.merge(dis_path_direct,on=\"disease_id\",how= \"inner\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dr_pw = dr_pw.groupby(['disease_id']).count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dr_pw = dr_pw.reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "6.4"
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dr_pw[\"pathway_id\"].mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "### drug"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "drug = f'''SELECT disease_id,drug_id FROM disnet_drugslayer.drug_disease\n",
+    "where disease_id in {list_disease_id}'''"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "drug=pd.read_sql(drug, con=disnet_db_ares)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "drug = drug.groupby(['disease_id']).count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "drug = drug.reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "441.88607594936707"
+      ]
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "drug[\"drug_id\"].mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "### sintomas"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sint = f'''SELECT DISTINCT\n",
+    "        ds.disease_id,s.cui as symptom \n",
+    "        FROM disnet_biolayer.disease ds \n",
+    "            JOIN edsssdb.layersmappings lm on ds.disease_id = lm.cui\n",
+    "            JOIN edsssdb.disease_symptom dsy ON lm.disnet_id = dsy.disease_id\n",
+    "            JOIN edsssdb.symptom s ON dsy.cui = s.cui\n",
+    "       where ds.disease_id in {list_disease_id}\n",
+    "'''"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sint_all=pd.read_sql(sint, con=disnet_db_ares)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sint_all = sint_all.groupby(['disease_id']).count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sint_all = sint_all.reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "76.81333333333333"
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sint_all[\"symptom\"].mean()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Notebooks/Results/.ipynb_checkpoints/2. GDAs pathways DREGE-DREBIOP-DISNET-checkpoint.ipynb b/Notebooks/Results/.ipynb_checkpoints/2. GDAs pathways DREGE-DREBIOP-DISNET-checkpoint.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..2e768167905b286ba40c2cea86560d1b38dabe98
--- /dev/null
+++ b/Notebooks/Results/.ipynb_checkpoints/2. GDAs pathways DREGE-DREBIOP-DISNET-checkpoint.ipynb	
@@ -0,0 +1,1071 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "from pandas import DataFrame\n",
+    "from scipy import stats\n",
+    "from statsmodels.stats.diagnostic import lilliefors\n",
+    "from scipy.stats import mannwhitneyu, levene"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# DISNET"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dis_gen = pd.read_csv('./Data/Input/DISNET/dis_genes.tsv', sep='\\t')\n",
+    "dis_gen = dis_gen.drop([\"Unnamed: 0\"],axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "disnet_score = dis_gen[\"score\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "disnet_score = pd.DataFrame(disnet_score)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.13747265487982685"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dis_gen[\"score\"].mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "count    353628.000000\n",
+       "mean          0.137473\n",
+       "std           0.129536\n",
+       "min           0.010000\n",
+       "25%           0.050000\n",
+       "50%           0.100000\n",
+       "75%           0.130000\n",
+       "max           1.000000\n",
+       "Name: score, dtype: float64"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dis_gen[\"score\"].describe()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# REPODB"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cases_repodb_target = pd.read_csv(\"./Data/Input/DISNET/score_gdas_repodb_target_final.tsv\", sep='\\t')\n",
+    "cases_repodb_target = cases_repodb_target.drop([\"Unnamed: 0\"],axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>disease_id</th>\n",
+       "      <th>drug_id</th>\n",
+       "      <th>gene_id</th>\n",
+       "      <th>score</th>\n",
+       "      <th>disease_new</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>C0007134</td>\n",
+       "      <td>CHEMBL1908360</td>\n",
+       "      <td>2475</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>C0003873</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>C0007134</td>\n",
+       "      <td>CHEMBL1908360</td>\n",
+       "      <td>2475</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>C0004153</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>C0007134</td>\n",
+       "      <td>CHEMBL1908360</td>\n",
+       "      <td>2475</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>C0006413</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>C0007134</td>\n",
+       "      <td>CHEMBL1908360</td>\n",
+       "      <td>2475</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>C0007131</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>C0007134</td>\n",
+       "      <td>CHEMBL1908360</td>\n",
+       "      <td>2475</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>C0007137</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7769</th>\n",
+       "      <td>C0025202</td>\n",
+       "      <td>CHEMBL1131</td>\n",
+       "      <td>5915</td>\n",
+       "      <td>0.02</td>\n",
+       "      <td>C0033860</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7770</th>\n",
+       "      <td>C0025202</td>\n",
+       "      <td>CHEMBL1131</td>\n",
+       "      <td>6256</td>\n",
+       "      <td>0.02</td>\n",
+       "      <td>C0033860</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7771</th>\n",
+       "      <td>C0010674</td>\n",
+       "      <td>CHEMBL1520</td>\n",
+       "      <td>8654</td>\n",
+       "      <td>0.03</td>\n",
+       "      <td>C0242350</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7772</th>\n",
+       "      <td>C0026769</td>\n",
+       "      <td>CHEMBL1201563</td>\n",
+       "      <td>3454</td>\n",
+       "      <td>0.03</td>\n",
+       "      <td>C0751967</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7773</th>\n",
+       "      <td>C0026769</td>\n",
+       "      <td>CHEMBL1201563</td>\n",
+       "      <td>3455</td>\n",
+       "      <td>0.02</td>\n",
+       "      <td>C0751967</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>7774 rows × 5 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     disease_id        drug_id  gene_id  score disease_new\n",
+       "0      C0007134  CHEMBL1908360     2475   0.50    C0003873\n",
+       "1      C0007134  CHEMBL1908360     2475   0.50    C0004153\n",
+       "2      C0007134  CHEMBL1908360     2475   0.50    C0006413\n",
+       "3      C0007134  CHEMBL1908360     2475   0.50    C0007131\n",
+       "4      C0007134  CHEMBL1908360     2475   0.50    C0007137\n",
+       "...         ...            ...      ...    ...         ...\n",
+       "7769   C0025202     CHEMBL1131     5915   0.02    C0033860\n",
+       "7770   C0025202     CHEMBL1131     6256   0.02    C0033860\n",
+       "7771   C0010674     CHEMBL1520     8654   0.03    C0242350\n",
+       "7772   C0026769  CHEMBL1201563     3454   0.03    C0751967\n",
+       "7773   C0026769  CHEMBL1201563     3455   0.02    C0751967\n",
+       "\n",
+       "[7774 rows x 5 columns]"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cases_repodb_target"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.21210059171595477"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cases_repodb_target[\"score\"].mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "count    7774.000000\n",
+       "mean        0.212101\n",
+       "std         0.173242\n",
+       "min         0.020000\n",
+       "25%         0.050000\n",
+       "50%         0.220000\n",
+       "75%         0.340000\n",
+       "max         1.000000\n",
+       "Name: score, dtype: float64"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cases_repodb_target[\"score\"].describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "score_gdas_two_repodb = pd.read_csv('./Data/Input/DISNET/score_gdas_two_repodb.tsv', sep='\\t')\n",
+    "score_gdas_two_repodb = score_gdas_two_repodb.drop([\"Unnamed: 0\"],axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "score_gdas_one_repodb = pd.read_csv('./Data/Input/DISNET/score_gdas_one_repodb.tsv', sep='\\t')\n",
+    "score_gdas_one_repodb = score_gdas_one_repodb.drop([\"Unnamed: 0\"],axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "score_gdas_repodb = pd.concat([score_gdas_two_repodb,score_gdas_one_repodb])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.1623303834808263"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "score_gdas_repodb[\"score\"].mean()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# CSBJ"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cases_csbj_target = pd.read_csv('./Data/Input/DISNET/score_gdas_csbj_target_filtergen.tsv', sep='\\t')\n",
+    "cases_csbj_target = cases_csbj_target.drop([\"Unnamed: 0\"],axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cases_csbj_target = cases_csbj_target.drop([\"Original Condition\",\"New Condition\",\"Drugs\"],axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cases_csbj_target = cases_csbj_target.rename(columns={\"New Condition CUI\": \"disease_new\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.28196850393700795"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cases_csbj_target[\"score\"].mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "score_gdas_csbj = pd.read_csv('./Data/Input/DISNET/score_gdas_csbj.tsv', sep='\\t')\n",
+    "score_gdas_csbj = score_gdas_csbj.drop([\"Unnamed: 0\"],axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.6"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "score_gdas_csbj[\"score\"].mean()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# All data  DREBIOP"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "all_gdas = pd.concat([score_gdas_csbj,score_gdas_repodb])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.16361764705882384"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "all_gdas[\"score\"].mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "count    340.000000\n",
+       "mean       0.163618\n",
+       "std        0.165744\n",
+       "min        0.020000\n",
+       "25%        0.030000\n",
+       "50%        0.100000\n",
+       "75%        0.300000\n",
+       "max        0.700000\n",
+       "Name: score, dtype: float64"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "all_gdas[\"score\"].describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pathways_score = all_gdas[\"score\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pathways_score = pd.DataFrame(pathways_score)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "all_gdas_target_ = pd.concat([cases_csbj_target,cases_repodb_target])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "all_gdas_target_ = all_gdas_target_.drop_duplicates()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# DREGE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "all_gdas_target_.to_csv(\"./Data/Input/DISNET/Triples_target_final.tsv\", sep='\\t')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "target_score = all_gdas_target_[\"score\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "target_score = pd.DataFrame(target_score)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.21280592063287349"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "all_gdas_target_[\"score\"].mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "count    7837.000000\n",
+       "mean        0.212806\n",
+       "std         0.173944\n",
+       "min         0.020000\n",
+       "25%         0.050000\n",
+       "50%         0.220000\n",
+       "75%         0.340000\n",
+       "max         1.000000\n",
+       "Name: score, dtype: float64"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "all_gdas_target_[\"score\"].describe()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Normality Test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(0.21647426452840834, 0.0009999999999998899)"
+      ]
+     },
+     "execution_count": 70,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    " lilliefors(all_gdas_target_[\"score\"], dist ='norm')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(array([3.745e+03, 1.500e+02, 1.329e+03, 2.175e+03, 1.280e+02, 2.290e+02,\n",
+       "        4.600e+01, 2.300e+01, 1.100e+01, 1.000e+00]),\n",
+       " array([0.02 , 0.118, 0.216, 0.314, 0.412, 0.51 , 0.608, 0.706, 0.804,\n",
+       "        0.902, 1.   ]),\n",
+       " <BarContainer object of 10 artists>)"
+      ]
+     },
+     "execution_count": 71,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.hist(all_gdas_target_[\"score\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(0.2729778045817372, 0.0009999999999998899)"
+      ]
+     },
+     "execution_count": 72,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    " lilliefors(all_gdas[\"score\"], dist ='norm')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(array([154.,  65.,  20.,   2.,  39.,  45.,   1.,   4.,   5.,   5.]),\n",
+       " array([0.02 , 0.088, 0.156, 0.224, 0.292, 0.36 , 0.428, 0.496, 0.564,\n",
+       "        0.632, 0.7  ]),\n",
+       " <BarContainer object of 10 artists>)"
+      ]
+     },
+     "execution_count": 73,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXcAAAD6CAYAAABamQdMAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8vihELAAAACXBIWXMAAAsTAAALEwEAmpwYAAARbUlEQVR4nO3dfYxldX3H8fenbEXRWJfuLCLLumjXBzAY7Uh8aA0WrQjqYqrp2lo3SrLRUKtNrS41kSYNCX1Ia5uWmo1S1tRANj6xEbXStUpaeXBRRBZEtkJhZGUHabVqgy5++8cc9DrM7L1z78zcmR/vV0LuPb/zu/d8OJn5zNlz7z03VYUkqS2/MO4AkqTFZ7lLUoMsd0lqkOUuSQ2y3CWpQZa7JDWob7knuSTJoSQ3zxp/W5LbkuxP8hc94+cnOdCte/lShJYkHdmaAeZcCvw98KGHBpK8BNgCnFpVDyRZ342fDGwFTgGeBPxrkqdV1YNH2sC6detq06ZNQ/0PSNIj1Q033HBfVU3Mta5vuVfV1Uk2zRp+K3BRVT3QzTnUjW8BLu/G70hyADgNuOZI29i0aRP79u3rF0WS1CPJf823bthz7k8Dfj3JdUm+kOR53fgJwN0986a6MUnSMhrktMx8j1sLPB94HrA7yVOAzDF3zusbJNkObAfYuHHjkDEkSXMZ9sh9CvhYzbge+Amwrhs/sWfeBuCeuZ6gqnZW1WRVTU5MzHnKSJI0pGHL/RPAbwAkeRrwKOA+YA+wNcnRSU4CNgPXL0JOSdIC9D0tk+Qy4HRgXZIp4ALgEuCS7u2RPwK21czlJfcn2Q3cAhwGzuv3ThlJ0uLLSrjk7+TkZPluGUlamCQ3VNXkXOv8hKokNchyl6QGWe6S1KBh3+e+omzaceVYtnvnRWePZbuS1I9H7pLUIMtdkhpkuUtSgyx3SWqQ5S5JDbLcJalBlrskNchyl6QGWe6S1CDLXZIaZLlLUoMsd0lqkOUuSQ2y3CWpQX3LPcklSQ5135c6e907k1SSdT1j5yc5kOS2JC9f7MCSpP4GOXK/FDhz9mCSE4GXAXf1jJ0MbAVO6R5zcZKjFiWpJGlgfcu9qq4G7p9j1d8A7wJ6v2F7C3B5VT1QVXcAB4DTFiOoJGlwQ51zT/Jq4FtV9dVZq04A7u5ZnurGJEnLaMFfs5fkGOA9wG/OtXqOsZpjjCTbge0AGzduXGgMSdIRDHPk/lTgJOCrSe4ENgBfTvJEZo7UT+yZuwG4Z64nqaqdVTVZVZMTExNDxJAkzWfB5V5VX6uq9VW1qao2MVPoz62qbwN7gK1Jjk5yErAZuH5RE0uS+hrkrZCXAdcAT08yleTc+eZW1X5gN3AL8BngvKp6cLHCSpIG0/ece1W9vs/6TbOWLwQuHC2WJGkUfkJVkhpkuUtSgyx3SWqQ5S5JDbLcJalBlrskNchyl6QGWe6S1CDLXZIaZLlLUoMsd0lqkOUuSQ2y3CWpQZa7JDXIcpekBlnuktQgy12SGmS5S1KDBvkO1UuSHEpyc8/YXyb5epKbknw8yRN61p2f5ECS25K8fIlyS5KOYJAj90uBM2eNXQU8q6pOBb4BnA+Q5GRgK3BK95iLkxy1aGklSQPpW+5VdTVw/6yxz1bV4W7xWmBDd38LcHlVPVBVdwAHgNMWMa8kaQCLcc79zcCnu/snAHf3rJvqxh4myfYk+5Lsm56eXoQYkqSHjFTuSd4DHAY+/NDQHNNqrsdW1c6qmqyqyYmJiVFiSJJmWTPsA5NsA14JnFFVDxX4FHBiz7QNwD3Dx5MkDWOoI/ckZwLvBl5dVT/sWbUH2Jrk6CQnAZuB60ePKUlaiL5H7kkuA04H1iWZAi5g5t0xRwNXJQG4tqreUlX7k+wGbmHmdM15VfXgUoWXJM2tb7lX1evnGP7gEeZfCFw4SihJ0mj8hKokNchyl6QGWe6S1CDLXZIaZLlLUoMsd0lqkOUuSQ2y3CWpQZa7JDXIcpekBlnuktQgy12SGmS5S1KDLHdJapDlLkkNstwlqUGWuyQ1yHKXpAb1LfcklyQ5lOTmnrFjk1yV5Pbudm3PuvOTHEhyW5KXL1VwSdL8BjlyvxQ4c9bYDmBvVW0G9nbLJDkZ2Aqc0j3m4iRHLVpaSdJA+pZ7VV0N3D9reAuwq7u/CzinZ/zyqnqgqu4ADgCnLU5USdKghj3nflxVHQTobtd34ycAd/fMm+rGHibJ9iT7kuybnp4eMoYkaS6L/YJq5hiruSZW1c6qmqyqyYmJiUWOIUmPbMOW+71Jjgfobg9141PAiT3zNgD3DB9PkjSMYct9D7Ctu78NuKJnfGuSo5OcBGwGrh8toiRpodb0m5DkMuB0YF2SKeAC4CJgd5JzgbuA1wFU1f4ku4FbgMPAeVX14BJllyTNo2+5V9Xr51l1xjzzLwQuHCWUJGk0fkJVkhpkuUtSgyx3SWqQ5S5JDbLcJalBlrskNchyl6QGWe6S1CDLXZIaZLlLUoMsd0lqkOUuSQ2y3CWpQZa7JDXIcpekBlnuktQgy12SGmS5S1KDRir3JH+YZH+Sm5NcluTRSY5NclWS27vbtYsVVpI0mKHLPckJwB8Ak1X1LOAoYCuwA9hbVZuBvd2yJGkZjXpaZg3wmCRrgGOAe4AtwK5u/S7gnBG3IUlaoKHLvaq+BfwVcBdwEPhuVX0WOK6qDnZzDgLr53p8ku1J9iXZNz09PWwMSdIcRjkts5aZo/STgCcBj03yhkEfX1U7q2qyqiYnJiaGjSFJmsMop2VeCtxRVdNV9WPgY8ALgXuTHA/Q3R4aPaYkaSFGKfe7gOcnOSZJgDOAW4E9wLZuzjbgitEiSpIWas2wD6yq65J8BPgycBj4CrATeBywO8m5zPwBeN1iBJUkDW7ocgeoqguAC2YNP8DMUbwkaUz8hKokNchyl6QGWe6S1CDLXZIaZLlLUoMsd0lqkOUuSQ2y3CWpQZa7JDXIcpekBlnuktQgy12SGmS5S1KDLHdJatBIl/x9pNu048qxbPfOi84ey3YlrR4euUtSgyx3SWqQ5S5JDRqp3JM8IclHknw9ya1JXpDk2CRXJbm9u127WGElSYMZ9cj9b4HPVNUzgGcDtwI7gL1VtRnY2y1LkpbR0OWe5PHAi4EPAlTVj6rqf4AtwK5u2i7gnNEiSpIWapQj96cA08A/JflKkg8keSxwXFUdBOhu18/14CTbk+xLsm96enqEGJKk2UYp9zXAc4F/rKrnAD9gAadgqmpnVU1W1eTExMQIMSRJs41S7lPAVFVd1y1/hJmyvzfJ8QDd7aHRIkqSFmrocq+qbwN3J3l6N3QGcAuwB9jWjW0DrhgpoSRpwUa9/MDbgA8neRTwTeBNzPzB2J3kXOAu4HUjbkOStEAjlXtV3QhMzrHqjFGeV5I0Gj+hKkkNstwlqUGWuyQ1yHKXpAZZ7pLUIMtdkhpkuUtSgyx3SWqQ5S5JDbLcJalBlrskNchyl6QGWe6S1CDLXZIaNOr13KXmbdpx5Vi2e+dFZ49lu2qDR+6S1CDLXZIaZLlLUoNGLvckRyX5SpJPdsvHJrkqye3d7drRY0qSFmIxjtzfDtzas7wD2FtVm4G93bIkaRmNVO5JNgBnAx/oGd4C7Oru7wLOGWUbkqSFG/XI/X3Au4Cf9IwdV1UHAbrb9XM9MMn2JPuS7Juenh4xhiSp19Dvc0/ySuBQVd2Q5PSFPr6qdgI7ASYnJ2vYHHpkGNd7zaXVapQPMb0IeHWSs4BHA49P8s/AvUmOr6qDSY4HDi1GUEnS4IY+LVNV51fVhqraBGwFPldVbwD2ANu6aduAK0ZOKUlakKV4n/tFwMuS3A68rFuWJC2jRbm2TFV9Hvh8d/87wBmL8bySpOH4CVVJapDlLkkNstwlqUGWuyQ1yHKXpAZZ7pLUIMtdkhpkuUtSgyx3SWqQ5S5JDbLcJalBlrskNchyl6QGWe6S1CDLXZIaZLlLUoMsd0lq0NDlnuTEJP+W5NYk+5O8vRs/NslVSW7vbtcuXlxJ0iBGOXI/DPxRVT0TeD5wXpKTgR3A3qraDOztliVJy2jocq+qg1X15e7+/wK3AicAW4Bd3bRdwDkjZpQkLdCinHNPsgl4DnAdcFxVHYSZPwDA+sXYhiRpcGtGfYIkjwM+Cryjqr6XZNDHbQe2A2zcuHHUGI8om3ZcObZt33nR2WPbtqTBjXTknuQXmSn2D1fVx7rhe5Mc360/Hjg012OramdVTVbV5MTExCgxJEmzjPJumQAfBG6tqr/uWbUH2Nbd3wZcMXw8SdIwRjkt8yLg94CvJbmxG/sT4CJgd5JzgbuA142UUJK0YEOXe1X9OzDfCfYzhn1eSdLo/ISqJDXIcpekBlnuktQgy12SGmS5S1KDLHdJapDlLkkNstwlqUGWuyQ1yHKXpAZZ7pLUIMtdkhpkuUtSgyx3SWqQ5S5JDRr5O1QlabGM8/uBx2WpvpfYcpf0MI/Ekm2Np2UkqUFLVu5JzkxyW5IDSXYs1XYkSQ+3JKdlkhwF/APwMmAK+FKSPVV1y1JsT8vHf65Lq8NSnXM/DThQVd8ESHI5sAWw3KUB+YdUo1iq0zInAHf3LE91Y5KkZbBUR+6ZY6x+bkKyHdjeLX4/yW3zPNc64L5FzLbUVlteMPNyWW2ZV1teWIWZ8+cjZX7yfCuWqtyngBN7ljcA9/ROqKqdwM5+T5RkX1VNLm68pbPa8oKZl8tqy7za8oKZey3VaZkvAZuTnJTkUcBWYM8SbUuSNMuSHLlX1eEkvw/8C3AUcElV7V+KbUmSHm7JPqFaVZ8CPrUIT9X31M0Ks9rygpmXy2rLvNrygpl/KlXVf5YkaVXx8gOS1KAVUe79LlWQGX/Xrb8pyXPHkXNWpn6Zn5HkmiQPJHnnODLONkDm3+32701Jvpjk2ePI2ZOnX94tXdYbk+xL8mvjyDkr00CX3UjyvCQPJnntcuabJ0u//Xx6ku92+/nGJO8dR85Zmfru5y73jUn2J/nCcmecI0+//fzHPfv45u7n49ihN1hVY/2PmRdc/xN4CvAo4KvAybPmnAV8mpn3zz8fuG4VZF4PPA+4EHjnKtnPLwTWdvdfMc79PGDex/GzU4unAl9f6fu4Z97nmHlN6rUrPTNwOvDJceYcIvMTmPlE/MZuef1Kzzxr/quAz42yzZVw5P7TSxVU1Y+Ahy5V0GsL8KGacS3whCTHL3fQHn0zV9WhqvoS8ONxBJzDIJm/WFX/3S1ey8znE8ZlkLzfr+43AXgssz4oNwaD/CwDvA34KHBoOcPNY9DMK8kgmX8H+FhV3QUzv4/LnHG2he7n1wOXjbLBlVDug1yqYKVdzmCl5RnEQjOfy8y/lsZloLxJXpPk68CVwJuXKdt8+mZOcgLwGuD9y5jrSAb9uXhBkq8m+XSSU5Yn2rwGyfw0YG2Szye5Ickbly3d3Ab+/UtyDHAmMwcAQ1sJX9bR91IFA85ZTistzyAGzpzkJcyU+zjPYQ+Ut6o+Dnw8yYuBPwNeutTBjmCQzO8D3l1VDyZzTV92g2T+MvDkqvp+krOATwCblzrYEQySeQ3wq8AZwGOAa5JcW1XfWOpw81hIZ7wK+I+qun+UDa6Ecu97qYIB5yynlZZnEANlTnIq8AHgFVX1nWXKNpcF7eOqujrJU5Osq6pxXVtkkMyTwOVdsa8DzkpyuKo+sSwJH26QS4V8r+f+p5JcvAr28xRwX1X9APhBkquBZwPjKveF/DxvZcRTMsCKeEF1DfBN4CR+9kLDKbPmnM3Pv6B6/UrP3DP3T1kZL6gOsp83AgeAF66SvL/Cz15QfS7wrYeWV2rmWfMvZfwvqA6yn5/Ys59PA+5a6fsZeCawt5t7DHAz8KyVnLmb90vA/cBjR93m2I/ca55LFSR5S7f+/cy8q+AsZornh8CbxpW3y9Q3c5InAvuAxwM/SfIOZl4d/958zzvuzMB7gV8GLu6OLA/XmC7CNGDe3wLemOTHwP8Bv13db8gKzryiDJj5tcBbkxxmZj9vXen7uapuTfIZ4CbgJ8AHqurmlZy5m/oa4LM18y+OkfgJVUlq0Ep4t4wkaZFZ7pLUIMtdkhpkuUtSgyx3SWqQ5S5JDbLcJalBlrskNej/AfKXL9Gx3ToWAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.hist(all_gdas[\"score\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(0.34968164864294105, 0.0009999999999998899)"
+      ]
+     },
+     "execution_count": 74,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    " lilliefors(dis_gen[\"score\"], dist ='norm')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(array([260222.,  13748.,  52148.,  17653.,   3423.,   2842.,   1791.,\n",
+       "          1066.,    327.,    408.]),\n",
+       " array([0.01 , 0.109, 0.208, 0.307, 0.406, 0.505, 0.604, 0.703, 0.802,\n",
+       "        0.901, 1.   ]),\n",
+       " <BarContainer object of 10 artists>)"
+      ]
+     },
+     "execution_count": 75,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.hist(dis_gen[\"score\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# MannWhitney-U Test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "MannwhitneyuResult(statistic=1127106.5, pvalue=6.441560639405658e-07)"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mannwhitneyu(all_gdas[\"score\"], all_gdas_target_[\"score\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "MannwhitneyuResult(statistic=59656820.5, pvalue=0.3988562703545171)"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mannwhitneyu(all_gdas[\"score\"],dis_gen[\"score\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Plots"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "disnet_score[\"Drug_repositioning_type\"] = \"DISNET\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pathways_score[\"Drug_repositioning_type\"] = \"DREBIOP\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "target_score[\"Drug_repositioning_type\"] = \"DREGE\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "type_gdas_all = pd.concat([disnet_score,pathways_score,target_score])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>score</th>\n",
+       "      <th>Drug_repositioning_type</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.10</td>\n",
+       "      <td>DISNET</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.10</td>\n",
+       "      <td>DISNET</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.10</td>\n",
+       "      <td>DISNET</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.10</td>\n",
+       "      <td>DISNET</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.10</td>\n",
+       "      <td>DISNET</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7769</th>\n",
+       "      <td>0.02</td>\n",
+       "      <td>DREGE</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7770</th>\n",
+       "      <td>0.02</td>\n",
+       "      <td>DREGE</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7771</th>\n",
+       "      <td>0.03</td>\n",
+       "      <td>DREGE</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7772</th>\n",
+       "      <td>0.03</td>\n",
+       "      <td>DREGE</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7773</th>\n",
+       "      <td>0.02</td>\n",
+       "      <td>DREGE</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>361805 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      score Drug_repositioning_type\n",
+       "0      0.10                  DISNET\n",
+       "1      0.10                  DISNET\n",
+       "2      0.10                  DISNET\n",
+       "3      0.10                  DISNET\n",
+       "4      0.10                  DISNET\n",
+       "...     ...                     ...\n",
+       "7769   0.02                   DREGE\n",
+       "7770   0.02                   DREGE\n",
+       "7771   0.03                   DREGE\n",
+       "7772   0.03                   DREGE\n",
+       "7773   0.02                   DREGE\n",
+       "\n",
+       "[361805 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "type_gdas_all"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "my_colors = [\"#4ea8af\",\"#d76b73\", \"#2ecc71\"] \n",
+    "sns.set_palette( my_colors ) \n",
+    "fig = plt.figure(figsize=(12, 6))\n",
+    "sns.boxplot(x=\"Drug_repositioning_type\", y=\"score\", data=type_gdas_all, \n",
+    "            width=0.7, order=[\"DREBIOP\", \"DREGE\", \"DISNET\"],\n",
+    "            showfliers = False)\n",
+    "plt.xlabel(\"\")\n",
+    "plt.ylabel(\"Value GDAs\")\n",
+    "sns.despine()\n",
+    "plt.savefig(\"plot_GDAS.svg\")\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Notebooks/Results/.ipynb_checkpoints/3.1 Type of drugs - MESHPA-checkpoint.ipynb b/Notebooks/Results/.ipynb_checkpoints/3.1 Type of drugs - MESHPA-checkpoint.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..90064908ba6f360131378c5857a314c370de24ef
--- /dev/null
+++ b/Notebooks/Results/.ipynb_checkpoints/3.1 Type of drugs - MESHPA-checkpoint.ipynb	
@@ -0,0 +1,300 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "from pandas import DataFrame\n",
+    "from scipy import stats"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Triples_target_final = pd.read_csv(\"./Data/Input/DISNET/Triples_target_final.tsv\", sep='\\t')\n",
+    "Triples_target_final = Triples_target_final.drop([\"Unnamed: 0\"],axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "target_drugs = Triples_target_final[\"drug_id\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "target_drugs = pd.DataFrame(target_drugs)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "267"
+      ]
+     },
+     "execution_count": 64,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(target_drugs[\"drug_id\"].unique())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "triplets_total = pd.read_csv('./Data/Input/DISNET/triplets_total.csv', sep=';')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "triplets_total = triplets_total.drop_duplicates()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pathways_drug = triplets_total[\"drug_id\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pathways_drug = pd.DataFrame(pathways_drug)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "## union de los farmacos con su tipo"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "type_drug =pd.read_excel(\"./Data/Input/DISNET/Drug_Categories.xlsx\", engine='openpyxl')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cases_type_drug = type_drug.merge(target_drugs, how='inner', on='drug_id')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "237"
+      ]
+     },
+     "execution_count": 74,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(cases_type_drug[\"drug_id\"].unique())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cases_target = cases_type_drug.drop([\"class_id\",\"drug_name\"],axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "count_drug_target = pd.value_counts(cases_target[\"class_name\"],normalize=True)*100"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "drug_type_target = count_drug_target.reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "drug_type_target[\"Drug_repositioning_type\"] = \"DREGE\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "count_drug_target.to_csv(\"count_drug_target.csv\",index = False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cases = pathways_drug.merge(type_drug, how='inner', on='drug_id')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 87,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "count_drug = pd.value_counts(cases[\"class_name\"],normalize=True)*100"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 88,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "drug_type = count_drug.reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 89,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "drug_type[\"Drug_repositioning_type\"] = \"DREBIOP\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 91,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "type_all = pd.concat([drug_type,drug_type_target])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Plots"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 97,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x864 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(10, 12))\n",
+    "my_colors = [\"#4ea8af\",\"#d76b73\"] \n",
+    "sns.set_palette( my_colors ) \n",
+    "sns.barplot(data=type_all, x=\"class_name\", y=\"index\", hue=\"Drug_repositioning_type\", orient='h')\n",
+    "#plt.xticks(rotation=90)\n",
+    "sns.despine(top=False, bottom=True)\n",
+    "plt.xlabel(\"\")\n",
+    "plt.ylabel(\"\")\n",
+    "ax.legend(loc=(0.6,0), title='Type of Drug Repositioning', fontsize=12)\n",
+    "plt.tight_layout()\n",
+    "plt.savefig(\"plot_Drugs_Type.svg\")\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Notebooks/Results/.ipynb_checkpoints/3.2 Types of drugs - ATC-checkpoint.ipynb b/Notebooks/Results/.ipynb_checkpoints/3.2 Types of drugs - ATC-checkpoint.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..dc48e8a0c7894e0cf548190c95746b6f0a7738b2
--- /dev/null
+++ b/Notebooks/Results/.ipynb_checkpoints/3.2 Types of drugs - ATC-checkpoint.ipynb	
@@ -0,0 +1,280 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "from pandas import DataFrame\n",
+    "from scipy import stats"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Triples_target_final = pd.read_csv(\"./Data/Input/DISNET/Triples_target_final.tsv\", sep='\\t')\n",
+    "Triples_target_final = Triples_target_final.drop([\"Unnamed: 0\"],axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "target_drugs = Triples_target_final[\"drug_id\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "target_drugs = pd.DataFrame(target_drugs)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "triplets_total = pd.read_csv('./Data/Input/DISNET/triplets_total.csv', sep=';')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "triplets_total = triplets_total.drop_duplicates()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pathways_drug = triplets_total[\"drug_id\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pathways_drug = pd.DataFrame(pathways_drug)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "drug_atc = pd.read_csv('./Data/Input/DISNET/drug_atc.tsv', sep='\\t')\n",
+    "drug_atc = drug_atc.drop([\"Unnamed: 0\"],axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "atc_cases_target = drug_atc.merge(target_drugs, how='right', on='drug_id')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "atc_cases_target = atc_cases_target.drop([\"ATC_code_id\"],axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#atc_cases_target = atc_cases_target.drop_duplicates()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "count_drug_target = pd.value_counts(atc_cases_target[\"ATC_LEVEL\"],normalize=True)*100"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "drug_type_target = count_drug_target.reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "drug_type_target[\"Drug_repositioning_type\"] = \"DREGE\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "count_drug_target.to_csv(\"count_drug_target.csv\",index = False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "atc_cases = pathways_drug.merge(drug_atc, how='inner', on='drug_id')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "count_drug = pd.value_counts(atc_cases[\"ATC_LEVEL\"],normalize=True)*100"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "drug_type = count_drug.reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "drug_type[\"Drug_repositioning_type\"] = \"DREBIOP\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "type_atc_all = pd.concat([drug_type,drug_type_target])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "atc_name = pd.read_excel(\"./Data/Input/DISNET/ATC_desc_name.xlsx\")\n",
+    "atc_name['index'] = atc_name['index'].str.strip()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "type_atc_name = type_atc_all.merge(atc_name, on=\"index\", how= \"left\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Plots"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x864 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(10, 12))\n",
+    "my_colors = [\"#4ea8af\",\"#d76b73\"] \n",
+    "sns.set_palette( my_colors )\n",
+    "sns.barplot(data=type_atc_name, x=\"ATC_LEVEL\", y=\"Type\", hue=\"Drug_repositioning_type\", orient='h')\n",
+    "#plt.xticks(rotation=90)\n",
+    "sns.despine(top=False, bottom=True)\n",
+    "plt.xlabel(\"\")\n",
+    "plt.ylabel(\"\")\n",
+    "ax.legend(loc=(0.6,0), title='Type of Drug Repositioning', fontsize=12)\n",
+    "plt.tight_layout()\n",
+    "plt.savefig(\"plot_Drugs_Type_ATC.svg\")\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Notebooks/Results/.ipynb_checkpoints/4.1 Types of diseases - DREGE-checkpoint.ipynb b/Notebooks/Results/.ipynb_checkpoints/4.1 Types of diseases - DREGE-checkpoint.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..6c4c8800473d2f32da3cc5adf87aa7faa48ad190
--- /dev/null
+++ b/Notebooks/Results/.ipynb_checkpoints/4.1 Types of diseases - DREGE-checkpoint.ipynb	
@@ -0,0 +1,596 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "from sqlalchemy import create_engine\n",
+    "from sklearn import preprocessing\n",
+    "import mysql.connector\n",
+    "from pandas import DataFrame"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Triples_target_final = pd.read_csv(\"./Data/Input/DISNET/Triples_target_final.tsv\", sep='\\t')\n",
+    "Triples_target_final = Triples_target_final.drop([\"Unnamed: 0\"],axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Triples_target_final_ = Triples_target_final.drop([\"score\",\"gene_id\"],axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Triples_target_final_ = Triples_target_final_.drop_duplicates()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "disease_id = Triples_target_final_[\"disease_id\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "disease_id = disease_id.drop_duplicates()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "disease_new = Triples_target_final_[\"disease_new\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "disease_new = disease_new.drop_duplicates()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def convert(list):\n",
+    "    return tuple(i for i in list)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "('C0030567', 'C0006142', 'C0376358', 'C0003873', 'C0007134', 'C0027819', 'C0020473', 'C0004153', 'C0020474', 'C0028754', 'C0028768', 'C0005587', 'C0036341', 'C0005586', 'C0038436', 'C0003125', 'C0014544', 'C0003469', 'C0002395', 'C0020538', 'C1140680', 'C0040517', 'C0021390', 'C0026769', 'C0024623', 'C0035579', 'C0011849', 'C0023434', 'C0010674', 'C0025202', 'C0002736', 'C0017205', 'C0010308')\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Driver function\n",
+    "lista = disease_id\n",
+    "print(convert(lista))\n",
+    "list_disease_id = convert(lista)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "('C1263846', 'C0029456', 'C1962963', 'C2911643', 'C4554622', 'C0032580', 'C0007102', 'C0346629', 'C0699790', 'C0009402', 'C2984278', 'C3542412', 'C4722085', 'C0242379', 'C0684249', 'C1306460', 'C0006142', 'C0678222', 'C3897071', 'C0376358', 'C0600139', 'C2984325', 'C3541264', 'C0004096', 'C2984299', 'C0238198', 'C0242350', 'C1961100', 'C0003873', 'C0004153', 'C0006413', 'C0007131', 'C0007137', 'C0007138', 'C0020459', 'C0021670', 'C0026764', 'C0027819', 'C0030807', 'C0041341', 'C0334634', 'C1621958', 'C0007134', 'C0011849', 'C0020443', 'C0020474', 'C0242339', 'C0020473', 'C0008312', 'C0020557', 'C0028754', 'C0473527', 'C0005586', 'C0005587', 'C0011581', 'C0030319', 'C0036341', 'C0497327', 'C1269683', 'C2267227', 'C0028768', 'C0038436', 'C0600142', 'C0001973', 'C0009186', 'C0010414', 'C0917801', 'C0011615', 'C0033774', 'C0149922', 'C0033860', 'C0033975', 'C0012734', 'C0162565', 'C0009766', 'C0010200', 'C0018621', 'C0027497', 'C0030305', 'C0035455', 'C0042109', 'C0042963', 'C0040517', 'C0036337', 'C0003125', 'C0002395', 'C0004352', 'C0003950', 'C0086227', 'C0002994', 'C0037383', 'C2607914', 'C0014544', 'C0234974', 'C0494475', 'C0026769', 'C0003469', 'C0018801', 'C0270327', 'C0520909', 'C0233523', 'C0029408', 'C0003862', 'C0003864', 'C0006444', 'C0013390', 'C0015967', 'C0018099', 'C0030193', 'C0038013', 'C0038358', 'C0039503', 'C0040460', 'C0149931', 'C0184567', 'C0231528', 'C0393735', 'C3495559', 'C0001144', 'C0009443', 'C0036508', 'C0039103', 'C0040252', 'C0040259', 'C0003868', 'C2215257', 'C0004604', 'C0027051', 'C0032463', 'C0948089', 'C0013274', 'C0033893', 'C0030201', 'C0035435', 'C0025323', 'C0009324', 'C0022602', 'C0029878', 'C0034065', 'C0150055', 'C0011644', 'C0014175', 'C0019829', 'C0042164', 'C0013604', 'C0018802', 'C0030567', 'C0001403', 'C0002880', 'C0003872', 'C0004364', 'C0005138', 'C0006114', 'C0010032', 'C0010043', 'C0010346', 'C0011606', 'C0011608', 'C0011616', 'C0014742', 'C0015230', 'C0015397', 'C0017612', 'C0019112', 'C0021390', 'C0022073', 'C0022081', 'C0022104', 'C0022568', 'C0023052', 'C0024138', 'C0024141', 'C0024305', 'C0026857', 'C0026948', 'C0027726', 'C0028840', 'C0033246', 'C0035439', 'C0035854', 'C0036202', 'C0036830', 'C0038363', 'C0040147', 'C0079773', 'C0085074', 'C0242459', 'C1260899', 'C0001627', 'C0010674', 'C0018916', 'C0024301', 'C0026896', 'C0027873', 'C0035457', 'C0037274', 'C0041321', 'C0474368', 'C0524662', 'C0002390', 'C0004031', 'C0032533', 'C0034069', 'C0038325', 'C0039483', 'C0406486', 'C1527336', 'C1527407', 'C0011633', 'C0011991', 'C0013264', 'C0023434', 'C0024419', 'C0024530', 'C0079744', 'C0002171', 'C0006846', 'C0022548', 'C0023646', 'C0042900', 'C0002726', 'C0042165', 'C0242383', 'C0339293', 'C0037199', 'C0004238', 'C0011881', 'C0038454', 'C0020538', 'C0002962', 'C0002963', 'C0030590', 'C0008311', 'C0038220', 'C0014549', 'C0032897', 'C0014547', 'C0040997', 'C0154731', 'C0001206', 'C0020649', 'C0024586', 'C0242422', 'C0600177', 'C0015371', 'C0016053', 'C0002736', 'C0035258', 'C0596170', 'C0020514', 'C0017168', 'C0152020', 'C0027404', 'C0028043', 'C0085159', 'C0002874', 'C0023480', 'C0035335', 'C0278996', 'C1135868', 'C0018790', 'C0042510', 'C0007194', 'C0039240', 'C0700053', 'C0151636', 'C0017601', 'C0020542', 'C2973725', 'C0002170', 'C0026838', 'C1739363', 'C0006267', 'C0006277', 'C0020651', 'C0034067', 'C0917798', 'C0007129', 'C0036220', 'C0238122', 'C0009088', 'C0042376', 'C0014550', 'C0014553', 'C0270846', 'C0033845', 'C2239176', 'C0003962', 'C1261473', 'C0206682', 'C0238463', 'C0020428', 'C0206754', 'C0024623', 'C0025202', 'C0027796', 'C0020598', 'C0020626', 'C0029458', 'C0042870', 'C0035579', 'C0035086', 'C0085682', 'C3536984', 'C0039621', 'C1527383', 'C0011860', 'C0003969', 'C0013238', 'C0022575', 'C0524910', 'C0001261', 'C0003175', 'C0006309', 'C0018081', 'C0023860', 'C0031099', 'C0031350', 'C0032064', 'C0032285', 'C0034362', 'C0039128', 'C0042029', 'C0023269', 'C0023467', 'C0027708', 'C0035412', 'C0079774', 'C0149925', 'C0553580', 'C1140680', 'C0153594', 'C0004626', 'C0014347', 'C0029443', 'C0031154', 'C0032308', 'C0152936', 'C0155862', 'C0243001', 'C0524688', 'C0554628', 'C1318973', 'C0003850', 'C0020479', 'C0520679', 'C0751967', 'C0162836', 'C0221074', 'C0032768', 'C0019360', 'C0030783', 'C0002792', 'C0013404', 'C0043144', 'C0271623', 'C0021603', 'C0019345', 'C0010417', 'C0020635', 'C0022735', 'C0034012', 'C0948896', 'C0020615', 'C0032797', 'C0392164', 'C0011854', 'C0024535', 'C0024537', 'C0220756', 'C0018021', 'C0020676', 'C0027145', 'C0677607', 'C0409818', 'C2316212', 'C0007780', 'C0019080', 'C0040038', 'C0040053', 'C0149871', 'C0524702', 'C0016412', 'C0162316', 'C0751964', 'C0085096')\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Driver function\n",
+    "lista = disease_new\n",
+    "print(convert(lista))\n",
+    "list_disease_new = convert(lista)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "get_icd=f\"\"\" \n",
+    "SELECT DISTINCT\n",
+    "    i.class_range,d.disease_id\n",
+    "FROM\n",
+    "    disnet_biolayer.disease d\n",
+    "        INNER JOIN\n",
+    "    disnet_biolayer.has_code hc ON d.disease_id = hc.disease_id\n",
+    "        LEFT JOIN\n",
+    "    disnet_biolayer.tmp_icd i ON 1 = 1\n",
+    "WHERE\n",
+    "    hc.vocabulary = 'ICD10CM'\n",
+    "        AND SUBSTR(i.class_range, 1, 3) <= SUBSTR(hc.code_id, 1, 3)\n",
+    "        AND SUBSTR(i.class_range, 5, 3) >= SUBSTR(hc.code_id, 1, 3)\n",
+    "    AND d.disease_id IN {list_disease_new};  \n",
+    "    \"\"\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "get_icd=pd.read_sql(get_icd, con=disnet_db_ares)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "get_icd_class = get_icd[\"class_range\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "('L00-L99', 'A00-B99', 'E00-E90', 'E00-E90', 'F00-F99', 'L00-L99', 'L00-L99', 'J00-J99', 'G00-G99', 'E00-E90', 'G00-G99', 'D50-D89', 'I00-I99', 'I00-I99', 'S00-T98', 'F00-F99', 'A00-B99', 'F00-F99', 'I00-I99', 'M00-M99', 'M00-M99', 'L00-L99', 'M00-M99', 'R00-R99', 'E00-E90', 'A00-B99', 'J00-J99', 'I00-I99', 'F00-F99', 'M00-M99', 'M00-M99', 'J00-J99', 'J00-J99', 'F00-F99', 'G00-G99', 'C00-D48', 'J00-J99', 'J00-J99', 'A00-B99', 'C00-D48', 'M00-M99', 'C00-D48', 'C00-D48', 'I00-I99', 'K00-K93', 'K00-K93', 'G00-G99', 'A00-B99', 'K00-K93', 'J00-J99', 'H00-H59', 'R00-R99', 'K00-K93', 'A00-B99', 'Q00-Q99', 'E00-E90', 'F00-F99', 'L00-L99', 'L00-L99', 'L00-L99', 'L00-L99', 'M00-M99', 'E00-E90', 'E00-E90', 'E00-E90', 'R00-R99', 'F00-F99', 'H00-H59', 'Q00-Q99', 'N00-N99', 'R00-R99', 'R00-R99', 'N00-N99', 'G00-G99', 'L00-L99', 'R00-R99', 'H00-H59', 'R00-R99', 'M00-M99', 'E00-E90', 'K00-K93', 'H00-H59', 'H00-H59', 'E00-E90', 'A00-B99', 'M00-M99', 'J00-J99', 'I00-I99', 'I00-I99', 'I00-I99', 'C00-D48', 'R00-R99', 'K00-K93', 'A00-B99', 'A00-B99', 'C00-D48', 'E00-E90', 'E00-E90', 'E00-E90', 'E00-E90', 'E00-E90', 'I00-I99', 'I00-I99', 'E00-E90', 'E00-E90', 'E00-E90', 'E00-E90', 'I00-I99', 'I00-I99', 'E00-E90', 'H00-H59', 'K00-K93', 'L00-L99', 'H00-H59', 'L00-L99', 'Q00-Q99', 'J00-J99', 'C00-D48', 'C00-D48', 'C00-D48', 'L00-L99', 'A00-B99', 'L00-L99', 'M00-M99', 'C00-D48', 'C00-D48', 'C00-D48', 'A00-B99', 'A00-B99', 'A00-B99', 'E00-E90', 'C00-D48', 'N00-N99', 'C00-D48', 'G00-G99', 'G00-G99', 'C00-D48', 'I00-I99', 'E00-E90', 'G00-G99', 'R00-R99', 'N00-N99', 'G00-G99', 'F00-F99', 'E00-E90', 'F00-F99', 'H00-H59', 'M00-M99', 'M00-M99', 'M00-M99', 'H60-H95', 'R00-R99', 'G00-G99', 'K00-K93', 'F00-F99', 'G00-G99', 'L00-L99', 'K00-K93', 'K00-K93', 'A00-B99', 'J00-J99', 'C00-D48', 'M00-M99', 'Q00-Q99', 'K00-K93', 'L00-L99', 'G00-G99', 'L00-L99', 'G00-G99', 'E00-E90', 'I00-I99', 'J00-J99', 'A00-B99', 'N00-N99', 'G00-G99', 'M00-M99', 'I00-I99', 'J00-J99', 'E00-E90', 'L00-L99', 'D50-D89', 'C00-D48', 'F00-F99', 'F00-F99', 'L00-L99', 'S00-T98', 'J00-J99', 'R00-R99', 'M00-M99', 'L00-L99', 'K00-K93', 'F00-F99', 'I00-I99', 'A00-B99', 'I00-I99', 'M00-M99', 'R00-R99', 'E00-E90', 'A00-B99', 'K00-K93', 'F00-F99', 'G00-G99', 'A00-B99', 'Q00-Q99', 'N00-N99', 'L00-L99', 'H00-H59', 'I00-I99', 'E00-E90', 'L00-L99', 'R00-R99', 'R00-R99', 'C00-D48', 'C00-D48', 'L00-L99', 'I00-I99', 'I00-I99', 'L00-L99', 'G00-G99', 'I00-I99', 'K00-K93', 'A00-B99', 'C00-D48', 'J00-J99', 'D50-D89', 'L00-L99', 'R00-R99', 'C00-D48', 'E00-E90', 'F00-F99', 'M00-M99', 'C00-D48', 'N00-N99', 'F00-F99', 'C00-D48', 'H00-H59', 'J00-J99', 'N00-N99', 'E00-E90', 'C00-D48', 'C00-D48', 'M00-M99', 'E00-E90', 'G00-G99', 'F00-F99', 'G00-G99', 'F00-F99', 'A00-B99', 'A00-B99', 'F00-F99', 'E00-E90', 'I00-I99', 'I00-I99', 'G00-G99', 'C00-D48', 'D50-D89', 'F00-F99', 'F00-F99', 'A00-B99', 'M00-M99', 'J00-J99', 'N00-N99', 'C00-D48', 'F00-F99', 'M00-M99', 'J00-J99', 'M00-M99')\n"
+     ]
+    }
+   ],
+   "source": [
+    "  # Driver function\n",
+    "lista = get_icd_class\n",
+    "print(convert(lista))\n",
+    "class_range = convert(lista)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "get_icd_name= f\"\"\"\n",
+    "SELECT *\n",
+    "FROM disnet_biolayer.tmp_icd\n",
+    "WHERE class_range in {class_range};\"\"\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "get_icd_name=pd.read_sql(get_icd_name, con=disnet_db_ares)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class_rang_name_disease_id = get_icd.merge(get_icd_name,how = \"inner\",on = \"class_range\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class_rang_name_disease_id = class_rang_name_disease_id.drop([\"class_range\"],axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class_rang_name_disease_id = class_rang_name_disease_id.rename(columns={\"class_name\":\"class_name_ori\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class_rang_name_new = get_icd.merge(get_icd_name,how = \"inner\",on = \"class_range\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class_rang_name_new = class_rang_name_new.drop([\"class_range\"],axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class_rang_name_new = class_rang_name_new.rename(columns={\"disease_id\": \"disease_new\",\"class_name\":\"class_name_new\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "final_df_type_dis = Triples_target_final.merge(class_rang_name_disease_id,on='disease_id').merge(class_rang_name_new,on='disease_new')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Mental and behavioural disorders                                2111\n",
+       "Diseases of the nervous system                                  1043\n",
+       "Diseases of the musculoskeletal system and connective tissue    1033\n",
+       "Endocrine, nutritional and metabolic diseases                    671\n",
+       "Diseases of the circulatory system                               347\n",
+       "Neoplasms                                                         42\n",
+       "Name: class_name_ori, dtype: int64"
+      ]
+     },
+     "execution_count": 47,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.value_counts(final_df_type_dis['class_name_ori'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "new_cat = pd.value_counts(final_df_type_dis['class_name_new'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>class_name_new</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Mental and behavioural disorders</th>\n",
+       "      <td>1719</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Diseases of the skin and subcutaneous tissue</th>\n",
+       "      <td>491</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Diseases of the nervous system</th>\n",
+       "      <td>473</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Diseases of the musculoskeletal system and connective tissue</th>\n",
+       "      <td>413</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified</th>\n",
+       "      <td>365</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Diseases of the circulatory system</th>\n",
+       "      <td>282</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Diseases of the respiratory system</th>\n",
+       "      <td>273</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Endocrine, nutritional and metabolic diseases</th>\n",
+       "      <td>264</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Neoplasms</th>\n",
+       "      <td>263</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Diseases of the digestive system</th>\n",
+       "      <td>167</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Certain infectious and parasitic diseases</th>\n",
+       "      <td>148</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Diseases of the eye and adnexa</th>\n",
+       "      <td>141</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Diseases of the genitourinary system</th>\n",
+       "      <td>99</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Injury, poisoning and certain other consequences of external causes</th>\n",
+       "      <td>58</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Diseases of the blood and blood-forming organs and certain disorders involving the immune mechanism</th>\n",
+       "      <td>55</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Congenital malformations, deformations and chromosomal abnormalities</th>\n",
+       "      <td>20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Diseases of the ear and mastoid process</th>\n",
+       "      <td>16</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                    class_name_new\n",
+       "Mental and behavioural disorders                              1719\n",
+       "Diseases of the skin and subcutaneous tissue                   491\n",
+       "Diseases of the nervous system                                 473\n",
+       "Diseases of the musculoskeletal system and conn...             413\n",
+       "Symptoms, signs and abnormal clinical and labor...             365\n",
+       "Diseases of the circulatory system                             282\n",
+       "Diseases of the respiratory system                             273\n",
+       "Endocrine, nutritional and metabolic diseases                  264\n",
+       "Neoplasms                                                      263\n",
+       "Diseases of the digestive system                               167\n",
+       "Certain infectious and parasitic diseases                      148\n",
+       "Diseases of the eye and adnexa                                 141\n",
+       "Diseases of the genitourinary system                            99\n",
+       "Injury, poisoning and certain other consequence...              58\n",
+       "Diseases of the blood and blood-forming organs ...              55\n",
+       "Congenital malformations, deformations and chro...              20\n",
+       "Diseases of the ear and mastoid process                         16"
+      ]
+     },
+     "execution_count": 49,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.DataFrame(new_cat)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# HEATMAP"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "final_df_type_dis_heatmap = final_df_type_dis.drop([\"disease_id\",\"drug_id\",\"score\",\"gene_id\",\"disease_new\"],axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "final_df_type_dis_heatmap[\"frecuency\"] = 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#final_df_type_dis_heatmap.to_excel(\"heatmap_target_final_triples.xlsx\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "group_dis = pd.read_excel(\"./Data/Input/DISNET/heatmap_target_final_triples.xlsx\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "group_dis = group_dis.groupby(['class_name_ori',\"class_name_new\"])[\"frecuency\"].sum().reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn import preprocessing\n",
+    "x_array = np.array(group_dis[\"frecuency\"])\n",
+    "normalized_arr = preprocessing.normalize([x_array])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "normalized_arr = pd.DataFrame(normalized_arr)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "normalized_arr = normalized_arr.transpose()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "group_dis[\"Norm_fre\"] = normalized_arr"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "group_dis = group_dis.pivot(index='class_name_new', columns='class_name_ori', values='Norm_fre')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#final_df_type_dis_heatmap = final_df_type_dis_heatmap.pivot(\"class_name_pwb\", \"class_name_nopwb\")\n",
+    "fig, ax = plt.subplots(figsize=(10, 10))\n",
+    "ax = sns.heatmap(group_dis,cmap=sns.cubehelix_palette(as_cmap=True),vmin=0, vmax=1)#PiYG\n",
+    "#plt.title('Heatmap of type of diseases', fontsize = 15) # title with fontsize 20\n",
+    "plt.xlabel('Target gene - based treated diseases', fontsize = 10) # x-axis label with fontsize 15\n",
+    "plt.ylabel('Target gene - based treated diseases', fontsize = 10) # y-axis label with fontsize 15\n",
+    "plt.tight_layout()\n",
+    "plt.savefig(\"Heatmap_target.svg\")\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Notebooks/Results/.ipynb_checkpoints/4.2 Types of diseases - DREBIOP-checkpoint.ipynb b/Notebooks/Results/.ipynb_checkpoints/4.2 Types of diseases - DREBIOP-checkpoint.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..bff82c49bd5ab49eab8cc315492f85ca105da8f0
--- /dev/null
+++ b/Notebooks/Results/.ipynb_checkpoints/4.2 Types of diseases - DREBIOP-checkpoint.ipynb	
@@ -0,0 +1,624 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "from sqlalchemy import create_engine\n",
+    "from sklearn import preprocessing\n",
+    "import mysql.connector\n",
+    "from pandas import DataFrame"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "all_triplets_repodb_union = pd.read_csv(\"./Data/Input/DISNET/all_triplets_repodb_union.tsv\", sep='\\t')\n",
+    "all_triplets_repodb_union = all_triplets_repodb_union.drop([\"Unnamed: 0\"],axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "all_triplets_repodb_union_ = all_triplets_repodb_union.drop([\"pathway_id\",\"gene_id\"],axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "diseases_PwB = all_triplets_repodb_union[\"disease_PwB\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "diseases_PwB = diseases_PwB.drop_duplicates()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "diseases_no_PwB = all_triplets_repodb_union[\"disease_no_PwB\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "diseases_no_PwB = diseases_no_PwB.drop_duplicates()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "('C0018802', 'C0004238', 'C0011881', 'C0001206', 'C0020649', 'C0024586', 'C0010674', 'C0003962', 'C0013604', 'C0020428', 'C0020473', 'C0018801', 'C0004096', 'C0009324', 'C0010346', 'C0011849', 'C0020598', 'C0020626', 'C0024141', 'C0026769', 'C0028754', 'C0029456', 'C0029458', 'C0015371', 'C0035086', 'C0002395', 'C0003862', 'C0003873', 'C0004153', 'C0004604', 'C0009443', 'C0026764', 'C0001144', 'C0001261', 'C0003175', 'C0006277', 'C0006309', 'C0011581', 'C0018081', 'C0023860', 'C0027404', 'C0030193', 'C0016053', 'C0184567', 'C0242422', 'C0600177', 'C1621958', 'C0027051', 'C0038454', 'C0036337', 'C0036341', 'C0042870', 'C1739363', 'C0042847', 'C0162316', 'C0006114', 'C0033860', 'C0085682', 'C0030567', 'C0497327', 'C3536984', 'C0039621', 'C1527383', 'C0029408', 'C0032463', 'C0040460', 'C0149931', 'C0393735', 'C0948089', 'C0031099', 'C0031350', 'C0032064', 'C0032285', 'C0034362', 'C0035854', 'C0037199', 'C0039128', 'C0042029', 'C1269683')\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Driver function\n",
+    "lista = diseases_no_PwB\n",
+    "print(convert(lista))\n",
+    "list_dis_no_pwb = convert(lista)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "('C0020538', 'C0030567', 'C0035579', 'C0026769', 'C0002892', 'C0002395', 'C0025202')\n"
+     ]
+    }
+   ],
+   "source": [
+    "def convert(list):\n",
+    "    return tuple(i for i in list)\n",
+    "  \n",
+    "# Driver function\n",
+    "lista = diseases_PwB\n",
+    "print(convert(lista))\n",
+    "list_dis_pwb = convert(lista)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "get_icd=f\"\"\" \n",
+    "SELECT DISTINCT\n",
+    "    i.class_range,d.disease_id\n",
+    "FROM\n",
+    "    disnet_biolayer.disease d\n",
+    "        INNER JOIN\n",
+    "    disnet_biolayer.has_code hc ON d.disease_id = hc.disease_id\n",
+    "        LEFT JOIN\n",
+    "    disnet_biolayer.tmp_icd i ON 1 = 1\n",
+    "WHERE\n",
+    "    hc.vocabulary = 'ICD10CM'\n",
+    "        AND SUBSTR(i.class_range, 1, 3) <= SUBSTR(hc.code_id, 1, 3)\n",
+    "        AND SUBSTR(i.class_range, 5, 3) >= SUBSTR(hc.code_id, 1, 3)\n",
+    "    AND d.disease_id IN {list_dis_pwb};  \n",
+    "    \"\"\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "get_icd=pd.read_sql(get_icd, con=disnet_db_ares)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "get_icd_class = get_icd[\"class_range\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "('D50-D89', 'I00-I99', 'G00-G99', 'G00-G99', 'G00-G99', 'E00-E90')\n"
+     ]
+    }
+   ],
+   "source": [
+    "  # Driver function\n",
+    "lista = get_icd_class\n",
+    "print(convert(lista))\n",
+    "class_range = convert(lista)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "get_icd_name= f\"\"\"\n",
+    "SELECT *\n",
+    "FROM disnet_biolayer.tmp_icd\n",
+    "WHERE class_range in {class_range};\"\"\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "get_icd_name=pd.read_sql(get_icd_name, con=disnet_db_ares)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class_rang_name_nopwb = get_icd.merge(get_icd_name,how = \"inner\",on = \"class_range\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class_rang_name_nopwb_fil = class_rang_name_nopwb.drop([\"class_range\"],axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class_rang_name_nopwb_fil = class_rang_name_nopwb_fil.rename(columns={\"disease_id\": \"disease_no_PwB\",\"class_name\":\"class_name_nopwb\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class_rang_name_pwb = get_icd.merge(get_icd_name,how = \"inner\",on = \"class_range\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class_rang_name_pwb_fil = class_rang_name_pwb.drop([\"class_range\"],axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "class_rang_name_pwb_fil = class_rang_name_pwb_fil.rename(columns={\"disease_id\": \"disease_PwB\",\"class_name\":\"class_name_pwb\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "final_df_type_dis = all_triplets_repodb_union.merge(class_rang_name_pwb_fil,on='disease_PwB').merge(class_rang_name_nopwb_fil,on='disease_no_PwB')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Diseases of the nervous system                   4\n",
+       "Endocrine, nutritional and metabolic diseases    1\n",
+       "Name: class_name_pwb, dtype: int64"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.value_counts(final_df_type_dis['class_name_pwb'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "new_cat = pd.value_counts(final_df_type_dis['class_name_nopwb'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# HEATMAP"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "final_df_type_dis_heatmap = final_df_type_dis.drop([\"disease_PwB\",\"drug_id\",\"pathway_id\",\"gene_id\",\"disease_no_PwB\"],axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "final_df_type_dis_heatmap[\"frecuency\"] = 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "group_dis = pd.read_excel(\"./Data/Input/DISNET/Type_dis_drebiop.xlsx\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "group_dis = group_dis.groupby(['class_name_pwb',\"class_name_nopwb\"])[\"frecuency\"].sum().reset_index()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[0.03054236 0.06108472 0.03054236 0.03054236 0.42759306 0.06108472\n",
+      "  0.03054236 0.03054236 0.06108472 0.09162708 0.06108472 0.03054236\n",
+      "  0.24433889 0.18325417 0.06108472 0.30542361 0.24433889 0.21379653\n",
+      "  0.15271181 0.12216944 0.06108472 0.39705069 0.03054236 0.18325417\n",
+      "  0.24433889 0.42759306 0.03054236 0.12216944]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn import preprocessing\n",
+    "x_array = np.array(group_dis[\"frecuency\"])\n",
+    "normalized_arr = preprocessing.normalize([x_array])\n",
+    "print(normalized_arr)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "normalized_arr = pd.DataFrame(normalized_arr)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "normalized_arr = normalized_arr.transpose()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "group_dis[\"Norm_fre\"] = normalized_arr"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "group_dis = group_dis.pivot(index='class_name_nopwb', columns='class_name_pwb', values='Norm_fre')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>class_name_pwb</th>\n",
+       "      <th>D50-D89 (Immune mechanism)</th>\n",
+       "      <th>E00-E90 (Metabolic)</th>\n",
+       "      <th>G00-G99 (Nervous)</th>\n",
+       "      <th>I00-I99 (Circulatory)</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>class_name_nopwb</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>A00-B99 (Infectious)</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.244339</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>C00-D48 (Neoplasms)</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.183254</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>D50-D89 (Immune mechanism)</th>\n",
+       "      <td>0.030542</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>E00-E90 (Metabolic)</th>\n",
+       "      <td>0.061085</td>\n",
+       "      <td>0.427593</td>\n",
+       "      <td>0.061085</td>\n",
+       "      <td>0.244339</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>F00-F99 (Mental)</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.061085</td>\n",
+       "      <td>0.305424</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>G00-G99 (Nervous)</th>\n",
+       "      <td>0.030542</td>\n",
+       "      <td>0.030542</td>\n",
+       "      <td>0.244339</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>I00-I99 (Circulatory)</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.213797</td>\n",
+       "      <td>0.427593</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>J00-J99 (Respiratory)</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.030542</td>\n",
+       "      <td>0.152712</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>K00-K93 (Digestive)</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.061085</td>\n",
+       "      <td>0.122169</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>L00-L99 (Skin)</th>\n",
+       "      <td>0.030542</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.061085</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>M00-M99 (Musculoskeletal)</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.091627</td>\n",
+       "      <td>0.397051</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>N00-N99 (Genitourinary)</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.061085</td>\n",
+       "      <td>0.030542</td>\n",
+       "      <td>0.030542</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>R00-R99 (Symptoms)</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.030542</td>\n",
+       "      <td>0.183254</td>\n",
+       "      <td>0.122169</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "class_name_pwb              D50-D89 (Immune mechanism)  E00-E90 (Metabolic)  \\\n",
+       "class_name_nopwb                                                              \n",
+       "A00-B99 (Infectious)                               NaN                  NaN   \n",
+       "C00-D48 (Neoplasms)                                NaN                  NaN   \n",
+       "D50-D89 (Immune mechanism)                    0.030542                  NaN   \n",
+       "E00-E90 (Metabolic)                           0.061085             0.427593   \n",
+       "F00-F99 (Mental)                                   NaN             0.061085   \n",
+       "G00-G99 (Nervous)                             0.030542             0.030542   \n",
+       "I00-I99 (Circulatory)                              NaN                  NaN   \n",
+       "J00-J99 (Respiratory)                              NaN             0.030542   \n",
+       "K00-K93 (Digestive)                                NaN             0.061085   \n",
+       "L00-L99 (Skin)                                0.030542                  NaN   \n",
+       "M00-M99 (Musculoskeletal)                          NaN             0.091627   \n",
+       "N00-N99 (Genitourinary)                            NaN             0.061085   \n",
+       "R00-R99 (Symptoms)                                 NaN             0.030542   \n",
+       "\n",
+       "class_name_pwb              G00-G99 (Nervous)  I00-I99 (Circulatory)  \n",
+       "class_name_nopwb                                                      \n",
+       "A00-B99 (Infectious)                 0.244339                    NaN  \n",
+       "C00-D48 (Neoplasms)                  0.183254                    NaN  \n",
+       "D50-D89 (Immune mechanism)                NaN                    NaN  \n",
+       "E00-E90 (Metabolic)                  0.061085               0.244339  \n",
+       "F00-F99 (Mental)                     0.305424                    NaN  \n",
+       "G00-G99 (Nervous)                    0.244339                    NaN  \n",
+       "I00-I99 (Circulatory)                0.213797               0.427593  \n",
+       "J00-J99 (Respiratory)                0.152712                    NaN  \n",
+       "K00-K93 (Digestive)                  0.122169                    NaN  \n",
+       "L00-L99 (Skin)                       0.061085                    NaN  \n",
+       "M00-M99 (Musculoskeletal)            0.397051                    NaN  \n",
+       "N00-N99 (Genitourinary)              0.030542               0.030542  \n",
+       "R00-R99 (Symptoms)                   0.183254               0.122169  "
+      ]
+     },
+     "execution_count": 76,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "group_dis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(figsize=(10, 10))\n",
+    "ax = sns.heatmap(group_dis,cmap=sns.cubehelix_palette(as_cmap=True),vmin=0, vmax=1)#PiYG\n",
+    "plt.xlabel('Pathway - based treated diseases', fontsize = 10) # x-axis label with fontsize 15\n",
+    "plt.ylabel('Target gene - based treated diseases', fontsize = 10) # y-axis label with fontsize 15\n",
+    "plt.tight_layout()\n",
+    "plt.savefig(\"Heatmap_pws.svg\")\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/Notebooks/Results/1.1 Patterns DREBIOP - Pathway-based  treated disease.ipynb b/Notebooks/Results/1.1 Patterns DREBIOP - Pathway-based  treated disease.ipynb
index bb8a4840aa740ea26a0c51433d42a60e52d460bd..b088a7bed451f46abfe01fd1068295d20fe56270 100644
--- a/Notebooks/Results/1.1 Patterns DREBIOP - Pathway-based  treated disease.ipynb	
+++ b/Notebooks/Results/1.1 Patterns DREBIOP - Pathway-based  treated disease.ipynb	
@@ -29,7 +29,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "Triples_target_final = pd.read_csv(\"Triples_target_final.tsv\", sep='\\t')\n",
+    "Triples_target_final = pd.read_csv(\"./Data/Input/DISNET/Triples_target_final.tsv\", sep='\\t')\n",
     "Triples_target_final = Triples_target_final.drop([\"Unnamed: 0\"],axis=1)"
    ]
   },
@@ -39,7 +39,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "triplets_total = pd.read_csv('triplets_total.csv', sep=';')"
+    "triplets_total = pd.read_csv('./Data/Input/DISNET/triplets_total.csv', sep=';')"
    ]
   },
   {
@@ -288,120 +288,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>disease_id</th>\n",
-       "      <th>pathway_id</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>C0020538</td>\n",
-       "      <td>WP554</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>C0018799</td>\n",
-       "      <td>WP1544</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>C0018799</td>\n",
-       "      <td>WP1528</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>C0027947</td>\n",
-       "      <td>WP229</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>C0013369</td>\n",
-       "      <td>WP229</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>...</th>\n",
-       "      <td>...</td>\n",
-       "      <td>...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>659</th>\n",
-       "      <td>C0268274</td>\n",
-       "      <td>WP4153</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>660</th>\n",
-       "      <td>C0085131</td>\n",
-       "      <td>WP4153</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>661</th>\n",
-       "      <td>C0036161</td>\n",
-       "      <td>WP4153</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>662</th>\n",
-       "      <td>C0268275</td>\n",
-       "      <td>WP4153</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>663</th>\n",
-       "      <td>C0162666</td>\n",
-       "      <td>WP4236</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>664 rows × 2 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    disease_id pathway_id\n",
-       "0     C0020538      WP554\n",
-       "1     C0018799     WP1544\n",
-       "2     C0018799     WP1528\n",
-       "3     C0027947      WP229\n",
-       "4     C0013369      WP229\n",
-       "..         ...        ...\n",
-       "659   C0268274     WP4153\n",
-       "660   C0085131     WP4153\n",
-       "661   C0036161     WP4153\n",
-       "662   C0268275     WP4153\n",
-       "663   C0162666     WP4236\n",
-       "\n",
-       "[664 rows x 2 columns]"
-      ]
-     },
-     "execution_count": 24,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "dis_path_direct = pd.read_csv('disease_pathway.tsv', sep='\\t')\n",
-    "dis_path_direct"
+    "dis_path_direct = pd.read_csv('./Data/Input/DISNET/disease_pathway.tsv', sep='\\t')"
    ]
   },
   {
diff --git a/Notebooks/Results/1.2  Patterns DREBIOP - Target gene-based  treated disease.ipynb b/Notebooks/Results/1.2  Patterns DREBIOP - Target gene-based  treated disease.ipynb
index 11b89b09b0c2409a3eab48c249b5cdd4e1ea540c..c9b32c969e6c6e3a00ea360da104a4d3436568ea 100644
--- a/Notebooks/Results/1.2  Patterns DREBIOP - Target gene-based  treated disease.ipynb	
+++ b/Notebooks/Results/1.2  Patterns DREBIOP - Target gene-based  treated disease.ipynb	
@@ -29,7 +29,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "Triples_target_final = pd.read_csv(\"Triples_target_final.tsv\", sep='\\t')\n",
+    "Triples_target_final = pd.read_csv(\"./Data/Input/DISNET/Triples_target_final.tsv\", sep='\\t')\n",
     "Triples_target_final = Triples_target_final.drop([\"Unnamed: 0\"],axis=1)"
    ]
   },
@@ -39,7 +39,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "triplets_total = pd.read_csv('triplets_total.csv', sep=';')"
+    "triplets_total = pd.read_csv('./Data/Input/DISNET/triplets_total.csv', sep=';')"
    ]
   },
   {
@@ -264,7 +264,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "dis_path_direct = pd.read_csv('disease_pathway.tsv', sep='\\t')"
+    "dis_path_direct = pd.read_csv('./Data/Input/DISNET/disease_pathway.tsv', sep='\\t')"
    ]
   },
   {
diff --git a/Notebooks/Results/2. GDAs pathways DREGE-DREBIOP-DISNET.ipynb b/Notebooks/Results/2. GDAs pathways DREGE-DREBIOP-DISNET.ipynb
index f8618e6eb01e37c6f62bac45cf8085260b5d4019..2e768167905b286ba40c2cea86560d1b38dabe98 100644
--- a/Notebooks/Results/2. GDAs pathways DREGE-DREBIOP-DISNET.ipynb	
+++ b/Notebooks/Results/2. GDAs pathways DREGE-DREBIOP-DISNET.ipynb	
@@ -29,7 +29,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "dis_gen = pd.read_csv('dis_genes.tsv', sep='\\t')\n",
+    "dis_gen = pd.read_csv('./Data/Input/DISNET/dis_genes.tsv', sep='\\t')\n",
     "dis_gen = dis_gen.drop([\"Unnamed: 0\"],axis=1)"
    ]
   },
@@ -112,7 +112,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "cases_repodb_target = pd.read_csv(\"score_gdas_repodb_target_final.tsv\", sep='\\t')\n",
+    "cases_repodb_target = pd.read_csv(\"./Data/Input/DISNET/score_gdas_repodb_target_final.tsv\", sep='\\t')\n",
     "cases_repodb_target = cases_repodb_target.drop([\"Unnamed: 0\"],axis=1)"
    ]
   },
@@ -323,7 +323,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "score_gdas_two_repodb = pd.read_csv('score_gdas_two_repodb.tsv', sep='\\t')\n",
+    "score_gdas_two_repodb = pd.read_csv('./Data/Input/DISNET/score_gdas_two_repodb.tsv', sep='\\t')\n",
     "score_gdas_two_repodb = score_gdas_two_repodb.drop([\"Unnamed: 0\"],axis=1)"
    ]
   },
@@ -333,7 +333,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "score_gdas_one_repodb = pd.read_csv('score_gdas_one_repodb.tsv', sep='\\t')\n",
+    "score_gdas_one_repodb = pd.read_csv('./Data/Input/DISNET/score_gdas_one_repodb.tsv', sep='\\t')\n",
     "score_gdas_one_repodb = score_gdas_one_repodb.drop([\"Unnamed: 0\"],axis=1)"
    ]
   },
@@ -379,7 +379,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "cases_csbj_target = pd.read_csv('score_gdas_csbj_target_filtergen.tsv', sep='\\t')\n",
+    "cases_csbj_target = pd.read_csv('./Data/Input/DISNET/score_gdas_csbj_target_filtergen.tsv', sep='\\t')\n",
     "cases_csbj_target = cases_csbj_target.drop([\"Unnamed: 0\"],axis=1)"
    ]
   },
@@ -427,7 +427,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "score_gdas_csbj = pd.read_csv('score_gdas_csbj.tsv', sep='\\t')\n",
+    "score_gdas_csbj = pd.read_csv('./Data/Input/DISNET/score_gdas_csbj.tsv', sep='\\t')\n",
     "score_gdas_csbj = score_gdas_csbj.drop([\"Unnamed: 0\"],axis=1)"
    ]
   },
@@ -564,7 +564,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "all_gdas_target_.to_csv(\"Triples_target_final.tsv\", sep='\\t')"
+    "all_gdas_target_.to_csv(\"./Data/Input/DISNET/Triples_target_final.tsv\", sep='\\t')"
    ]
   },
   {
diff --git a/Notebooks/Results/3.1 Type of drugs - MESHPA.ipynb b/Notebooks/Results/3.1 Type of drugs - MESHPA.ipynb
index 92dcb083f52d26b7b425db550426932d791457b0..90064908ba6f360131378c5857a314c370de24ef 100644
--- a/Notebooks/Results/3.1 Type of drugs - MESHPA.ipynb	
+++ b/Notebooks/Results/3.1 Type of drugs - MESHPA.ipynb	
@@ -20,7 +20,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "Triples_target_final = pd.read_csv(\"Triples_target_final.tsv\", sep='\\t')\n",
+    "Triples_target_final = pd.read_csv(\"./Data/Input/DISNET/Triples_target_final.tsv\", sep='\\t')\n",
     "Triples_target_final = Triples_target_final.drop([\"Unnamed: 0\"],axis=1)"
    ]
   },
@@ -68,7 +68,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "triplets_total = pd.read_csv('triplets_total.csv', sep=';')"
+    "triplets_total = pd.read_csv('./Data/Input/DISNET/triplets_total.csv', sep=';')"
    ]
   },
   {
@@ -113,7 +113,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "type_drug =pd.read_excel(\"Drug_Categories.xlsx\", engine='openpyxl')"
+    "type_drug =pd.read_excel(\"./Data/Input/DISNET/Drug_Categories.xlsx\", engine='openpyxl')"
    ]
   },
   {
diff --git a/Notebooks/Results/3.2 Types of drugs - ATC.ipynb b/Notebooks/Results/3.2 Types of drugs - ATC.ipynb
index 211115ebf70bb6a95f9e9ca84efac373fc132a90..dc48e8a0c7894e0cf548190c95746b6f0a7738b2 100644
--- a/Notebooks/Results/3.2 Types of drugs - ATC.ipynb	
+++ b/Notebooks/Results/3.2 Types of drugs - ATC.ipynb	
@@ -20,7 +20,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "Triples_target_final = pd.read_csv(\"Triples_target_final.tsv\", sep='\\t')\n",
+    "Triples_target_final = pd.read_csv(\"./Data/Input/DISNET/Triples_target_final.tsv\", sep='\\t')\n",
     "Triples_target_final = Triples_target_final.drop([\"Unnamed: 0\"],axis=1)"
    ]
   },
@@ -48,7 +48,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "triplets_total = pd.read_csv('triplets_total.csv', sep=';')"
+    "triplets_total = pd.read_csv('./Data/Input/DISNET/triplets_total.csv', sep=';')"
    ]
   },
   {
@@ -84,7 +84,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "drug_atc = pd.read_csv('drug_atc.tsv', sep='\\t')\n",
+    "drug_atc = pd.read_csv('./Data/Input/DISNET/drug_atc.tsv', sep='\\t')\n",
     "drug_atc = drug_atc.drop([\"Unnamed: 0\"],axis=1)"
    ]
   },
@@ -202,7 +202,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "atc_name = pd.read_excel(\"ATC_desc_name.xlsx\")\n",
+    "atc_name = pd.read_excel(\"./Data/Input/DISNET/ATC_desc_name.xlsx\")\n",
     "atc_name['index'] = atc_name['index'].str.strip()"
    ]
   },
diff --git a/Notebooks/Results/4.1 Types of diseases - DREGE.ipynb b/Notebooks/Results/4.1 Types of diseases - DREGE.ipynb
index 30818766614afffcdea8a9d529bc124ea6ad0668..6c4c8800473d2f32da3cc5adf87aa7faa48ad190 100644
--- a/Notebooks/Results/4.1 Types of diseases - DREGE.ipynb	
+++ b/Notebooks/Results/4.1 Types of diseases - DREGE.ipynb	
@@ -22,7 +22,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "Triples_target_final = pd.read_csv(\"Triples_target_final.tsv\", sep='\\t')\n",
+    "Triples_target_final = pd.read_csv(\"./Data/Input/DISNET/Triples_target_final.tsv\", sep='\\t')\n",
     "Triples_target_final = Triples_target_final.drop([\"Unnamed: 0\"],axis=1)"
    ]
   },
@@ -198,11 +198,9 @@
    "outputs": [],
    "source": [
     "get_icd_name= f\"\"\"\n",
-    "SELECT\n",
-    "*\n",
+    "SELECT *\n",
     "FROM disnet_biolayer.tmp_icd\n",
-    "WHERE\n",
-    "class_range in {class_range};\"\"\""
+    "WHERE class_range in {class_range};\"\"\""
    ]
   },
   {
@@ -484,7 +482,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "group_dis = pd.read_excel(\"heatmap_target_final_triples.xlsx\")"
+    "group_dis = pd.read_excel(\"./Data/Input/DISNET/heatmap_target_final_triples.xlsx\")"
    ]
   },
   {
diff --git a/Notebooks/Results/4.2 Types of diseases - DREBIOP.ipynb b/Notebooks/Results/4.2 Types of diseases - DREBIOP.ipynb
index fb5cd0591b02f334a8ad655094b3031ae18549f8..bff82c49bd5ab49eab8cc315492f85ca105da8f0 100644
--- a/Notebooks/Results/4.2 Types of diseases - DREBIOP.ipynb	
+++ b/Notebooks/Results/4.2 Types of diseases - DREBIOP.ipynb	
@@ -22,7 +22,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "all_triplets_repodb_union = pd.read_csv(\"all_triplets_repodb_union.tsv\", sep='\\t')\n",
+    "all_triplets_repodb_union = pd.read_csv(\"./Data/Input/DISNET/all_triplets_repodb_union.tsv\", sep='\\t')\n",
     "all_triplets_repodb_union = all_triplets_repodb_union.drop([\"Unnamed: 0\"],axis=1)"
    ]
   },
@@ -182,11 +182,9 @@
    "outputs": [],
    "source": [
     "get_icd_name= f\"\"\"\n",
-    "SELECT\n",
-    "*\n",
+    "SELECT *\n",
     "FROM disnet_biolayer.tmp_icd\n",
-    "WHERE\n",
-    "class_range in {class_range};\"\"\""
+    "WHERE class_range in {class_range};\"\"\""
    ]
   },
   {
@@ -323,7 +321,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "group_dis = pd.read_excel(\"Type_dis_drebiop.xlsx\")"
+    "group_dis = pd.read_excel(\"./Data/Input/DISNET/Type_dis_drebiop.xlsx\")"
    ]
   },
   {