Compare some similarity metrics

chembl_drugs.smi

Br.CC(NC(C)(C)C)C(=O)c1cccc(Cl)c1 675686
Br.Cc1ccc(Sc2ccccc2N3CCNCC3)c(C)c1 1379657
Br.CN(C)CCCC1(OCc2cc(ccc12)C#N)c3ccc(F)cc3 674732
Br.CN1CCC[C@@H]1Cc2c[nH]c3ccc(CCS(=O)(=O)c4ccccc4)cc23 674954
Br.COc1ccc2CN(C)CC[C@@]34C=C[C@H](O)C[C@@H]3Oc1c24 443255
Br.NC(=O)C([C@@H]1CCN(CCc2ccc3OCCc3c2)C1)(c4ccccc4)c5ccccc5 674886
BrCCC(=O)N1CCN(CC1)C(=O)CCBr 453722
C#CCN[C@@H]1CCc2ccccc12 75752
c1ccc2[nH]c(nc2c1)c3cscn3 26590
C1CN2C[C@@H](N=C2S1)c3ccccc3 384948
C1N2CN3CN(CN1C3)C2 675221
C1NCC2CC1c3cc4nccnc4cc23 330452
CC#CCn1c(nc2N(C)C(=O)N(Cc3nc(C)c4ccccc4n3)C(=O)c12)N5CCC[C@@H](N)C5 399873
CC#C[C@]1(O)CC[C@H]2[C@@H]3CCC4=CC(=O)CCC4=C3[C@H](C[C@]12C)c5ccc(cc5)N(C)C 712273
CC(=O)C1=C(C)c2cnc(Nc3ccc(cn3)N4CCNCC4)nc2N(C5CCCC5)C1=O 319858
CC(=O)c1ccc(cc1)S(=O)(=O)NC(=O)NC2CCCCC2 454070
CC(=O)c1ccc2Sc3ccccc3N(CCCN4CCC(CCO)CC4)c2c1 453721
CC(=O)c1ccc2Sc3ccccc3N(CCCN4CCN(CCO)CC4)c2c1 147927
CC(=O)c1ccc2Sc3ccccc3N(CCCN4CCN(CCO)CC4)c2c1.OC(=O)\C=C/C(=O)O.OC(=O)\C=C/C(=O)O 1537268
CC(=O)CC(C1=C(O)c2ccccc2OC1=O)c3ccccc3 394165
CC(=O)N(c1onc(C)c1C)S(=O)(=O)c2ccc(N)cc2 674861
CC(=O)N(CC(O)CO)c1c(I)c(C(=O)NCC(O)CO)c(I)c(C(=O)NCC(O)CO)c1I 674406
CC(=O)N1CCN(CC1)c2ccc(OC[C@@H]3CO[C@](Cn4ccnc4)(O3)c5ccc(Cl)cc5Cl)cc2 72036
CC(=O)Nc1c(I)c(NC(=O)C)c(I)c(C(=O)O)c1I 675171
CC(=O)Nc1ccc(O)cc1 16450
CC(=O)Nc1nnc(s1)S(=O)(=O)N 1125
CC(=O)NCCCS(=O)(=O)O 675244
CC(=O)NC[C@H]1CN(C(=O)O1)c2ccc(N3CCOCC3)c(F)c2 26280
CC(=O)NO 37820
CC(=O)N[C@@H](CS)C(=O)O 20881
CC(=O)O.Cc1c(c2ccc(O)cc2)n(Cc3ccc(OCCN4CCCCCC4)cc3)c5ccc(O)cc15 1378885
CC(=O)O.FC(F)(F)COc1ccc(OCC(F)(F)F)c(c1)C(=O)NCC2CCCCN2 674773
CC(=O)O.NC(=N)N\N=C\c1c(Cl)cccc1Cl 674511
CC(=O)Oc1cc2CN(CCc2s1)C(C(=O)C3CC3)c4ccccc4F 675723
CC(=O)Oc1ccc(cc1)C(c2ccc(OC(=O)C)cc2)c3ccccn3 88841
CC(=O)Oc1ccc2[C@H]3CC[C@]4(C)[C@@H](O)CC[C@H]4[C@@H]3CCc2c1 674381
CC(=O)Oc1ccccc1C(=O)Nc2ncc(s2)[N+](=O)[O-] 338934
CC(=O)Oc1ccccc1C(=O)O 1280
CC(=O)OCC(=O)[C@@]1(O)CC[C@H]2[C@@H]3CCC4=CC(=O)C=C[C@]4(C)[C@H]3[C@@H](O)C[C@]12C 182546
CC(=O)OCC(=O)[C@@]1(O)CC[C@H]2[C@@H]3CCC4=CC(=O)CC[C@]4(C)[C@@]3(F)[C@@H](O)C[C@]12C 674961
CC(=O)OCC(=O)[C@@]1(O)CC[C@H]2[C@@H]3CCC4=CC(=O)CC[C@]4(C)[C@H]3C(=O)C[C@]12C 487711
CC(=O)OCC(=O)[C@@]1(O)[C@@H](C[C@H]2[C@@H]3CCC4=CC(=O)C=C[C@]4(C)[C@@]3(F)[C@@H](O)C[C@]12C)OC(=O)C 674400
CC(=O)OCC(CCn1cnc2cnc(N)nc12)COC(=O)C 74284
CC(=O)OCC1=C(N2[C@H](SC1)[C@H](NC(=O)[C@H](N)c3ccccc3)C2=O)C(=O)O 674922
CC(=O)OC[C@H]1O[C@H]([C@H](OC(=O)C)[C@@H]1OC(=O)C)N2C=CC(=O)NC2=O 1379651
CC(=O)O[C@@]1(CC[C@H]2[C@@H]3C=C(C)C4=CC(=O)CC[C@]4(C)[C@H]3CC[C@]12C)C(=O)C 675090
CC(=O)O[C@H]1Cc2ccccc2N(C(=O)N)c3ccccc13 139940
CC(=O)O[C@H]1CC[C@@H]2[C@H]3CC[C@@]4(C)[C@@H](CC[C@@]4(OC(=O)C)C#C)[C@@H]3CCC2=C1 674575
CC(=O)O[C@H]1CC[C@]2(C)[C@H]3CC[C@@]4(C)[C@@H](CC=C4c5cccnc5)[C@@H]3CC=C2C1 438435
CC(=O)O[C@]1(CC[C@H]2[C@@H]3CCC4=CC(=O)CC[C@@H]4[C@H]3CC[C@]12C)C#C 675097
CC(=O)S[C@@H]1CC2=CC(=O)CC[C@]2(C)[C@H]3CC[C@@]4(C)[C@@H](CC[C@@]45CCC(=O)O5)[C@H]13 328201
CC(=O)[C@H]1CC[C@H]2[C@@H]3C=CC4=CC(=O)CC[C@@]4(C)[C@@H]3CC[C@]12C 674804
CC(=O)[C@H]1CC[C@H]2[C@@H]3CCC4=CC(=O)CC[C@]4(C)[C@H]3CC[C@]12C 12825
CC(C(=O)O)c1ccc(c(F)c1)c2ccccc2 16308
CC(C(=O)O)c1ccc2c(c1)[nH]c3ccc(Cl)cc23 264453
CC(C(=O)O)c1cccc(c1)C(=O)c2ccccc2 16591
CC(C(=O)O)c1cccc(Oc2ccccc2)c1 255534
CC(C)(C#N)c1cc(Cn2cncn2)cc(c1)C(C)(C)C#N 337366
CC(C)(C(=O)c1cccnc1)c2cccnc2 86284
CC(C)(C(=O)O)c1ccc(cc1)C(O)CCCN2CCC(CC2)C(O)(c3ccccc3)c4ccccc4 81683
CC(C)(C)C(=O)OCOP(=O)(COCCn1cnc2c(N)ncnc12)OCOC(=O)C(C)(C)C 83515
CC(C)(C)c1cc(c(NC(=O)C2=CNc3ccccc3C2=O)cc1O)C(C)(C)C 1331852
CC(C)(C)c1cc(SC(C)(C)Sc2cc(c(O)c(c2)C(C)(C)C)C(C)(C)C)cc(c1O)C(C)(C)C 22641
CC(C)(C)c1ccc(CN2CCN(CC2)C(c3ccccc3)c4ccc(Cl)cc4)cc1 675222
CC(C)(C)c1nc(c2cccc(NS(=O)(=O)c3c(F)cccc3F)c2F)c(s1)c4ccnc(N)n4 1340894
CC(C)(C)c1nc(c2cccc(NS(=O)(=O)c3c(F)cccc3F)c2F)c(s1)c4ccnc(N)n4.CS(=O)(=O)O 1377999
CC(C)(C)NC(=O)N[C@H](C(=O)N1C[C@H]2[C@@H]([C@H]1C(=O)NC(CC3CCC3)C(=O)C(=O)N)C2(C)C)C(C)(C)C 360720
CC(C)(C)NC(=O)[C@@H]1CN(Cc2cccnc2)CCN1C[C@@H](O)C[C@@H](Cc3ccccc3)C(=O)N[C@@H]4[C@H](O)Cc5ccccc45 17170
CC(C)(C)NC(=O)[C@@H]1CN(Cc2cccnc2)CCN1C[C@@H](O)C[C@@H](Cc3ccccc3)C(=O)N[C@@H]4[C@H](O)Cc5ccccc45.OS(=O)(=O)O 563318
CC(C)(C)NC(=O)[C@@H]1C[C@@H]2CCCC[C@@H]2CN1C[C@@H](O)[C@H](Cc3ccccc3)NC(=O)[C@H](CC(=O)N)NC(=O)c4ccc5ccccc5n4 17169
CC(C)(C)NC(=O)[C@@H]1C[C@@H]2CCCC[C@@H]2CN1C[C@@H](O)[C@H](Cc3ccccc3)NC(=O)[C@H](CC(=O)N)NC(=O)c4ccc5ccccc5n4.CS(=O)(=O)O 24418
CC(C)(C)NC(=O)[C@H]1CC[C@H]2[C@@H]3CC[C@H]4NC(=O)C=C[C@]4(C)[C@H]3CC[C@]12C 33679
CC(C)(C)NCC(O)c1cc(O)cc(O)c1 583322
CC(C)(C)NCC(O)c1cc(O)cc(O)c1.OS(=O)(=O)O 642083
CC(C)(C)NCC(O)c1ccc(O)c(CO)c1 34094
CC(C)(C)NCC(O)c1ccc(O)c(CO)c1.OS(=O)(=O)O 674977
CC(C)(C)NCC(O)COc1cccc2C[C@@H](O)[C@@H](O)Cc12 27570
CC(C)(C)NCC(O)COc1cccc2NC(=O)CCc12 62182
CC(C)(C)NC[C@H](O)COc1ccccc1C2CCCC2 254975
CC(C)(C)NC[C@H](O)COc1ccccc1C2CCCC2.OS(=O)(=O)O 674314
CC(C)(C)NC[C@H](O)COc1nsnc1N2CCOCC2 8531
CC(C)(C)NC[C@H](O)COc1nsnc1N2CCOCC2.OC(=O)\C=C/C(=O)O 674821
CC(C)(C)[SiH2]O[Si](C)(C)O[SiH2]C(C)(C)C 674789
CC(C)(N)Cc1ccc(Cl)cc1 675220
CC(C)(N)Cc1ccccc1 453532
CC(C)(O)c1ccccc1CC[C@@H](SCC2(CC(=O)O)CC2)c3cccc(\C=C\c4ccc5ccc(Cl)cc5n4)c3 47447
CC(C)(Oc1ccc(cc1)C(=O)c2ccc(Cl)cc2)C(=O)O 100310
CC(C)(Oc1ccc(cc1)C(=O)c2ccc(Cl)cc2)C(=O)[O-].C[N+](C)(C)CCO 675696
CC(C)(S)[C@@H](N)C(=O)O 369179
CC(C)C(=O)Nc1ccc(c(c1)C(F)(F)F)[N+](=O)[O-] 52087
CC(C)C(=O)OC(C)OC(=O)NCC1(CC(=O)O)CCCCC1 1051353
CC(C)c1c(C(=O)Nc2ccccc2)c(c3ccccc3)c(c4ccc(F)cc4)n1CC[C@@H](O)C[C@@H](O)CC(=O)O 417180
CC(C)c1nc(CN(C)C(=O)N[C@@H](CCN2CCOCC2)C(=O)N[C@H](CC[C@H](Cc3ccccc3)NC(=O)OCc4cncs4)Cc5ccccc5)cs1 1369604
CC(C)c1nc(nc(c2ccc(F)cc2)c1\C=C\[C@@H](O)C[C@@H](O)CC(=O)O)N(C)S(=O)(=O)C 418845
CC(C)c1nnc(C)n1[C@@H]2C[C@H]3CC[C@@H](C2)N3CC[C@H](NC(=O)C4CCC(F)(F)CC4)c5ccccc5 675138
CC(C)CC(N(C)C)C1(CCC1)c2ccc(Cl)cc2 358192
CC(C)CC1(CC=C)C(=O)NC(=O)NC1=O 2524
CC(C)Cc1ccc(cc1)C(C)C(=O)O 11674
CC(C)CCC[C@@H](C)[C@H]1CC[C@H]2\C(=C\C=C/3\C[C@@H](O)CCC3=C)\CCC[C@]12C 125294
CC(C)CN(C[C@@H](O)[C@H](Cc1ccccc1)NC(=O)O[C@H]2CCOC2)S(=O)(=O)c3ccc(N)cc3 17347
CC(C)CN(C[C@@H](O)[C@H](Cc1ccccc1)NC(=O)O[C@H]2CO[C@H]3OCC[C@@H]23)S(=O)(=O)c4ccc(N)cc4 267163
CC(C)CN(C[C@@H](OP(=O)(O)O)[C@H](Cc1ccccc1)NC(=O)O[C@H]2CCOC2)S(=O)(=O)c3ccc(N)cc3 499624
CC(C)COc1ccc(cc1C#N)c2nc(C)c(s2)C(=O)O 647206
CC(C)COc1ccc(CNC(=O)N(Cc2ccc(F)cc2)C3CCN(C)CC3)cc1 1383541
CC(C)COc1ccc(CNC(=O)N(Cc2ccc(F)cc2)C3CCN(C)CC3)cc1.CC(C)COc4ccc(CNC(=O)N(Cc5ccc(F)cc5)C6CCN(C)CC6)cc4.OC(C(O)C(=O)O)C(=O)O 1590761
CC(C)COCC(CN(Cc1ccccc1)c2ccccc2)N3CCCC3 112651
CC(C)C[C@@H]1N2C(=O)[C@](NC(=O)[C@H]3CN(C)[C@@H]4Cc5c(Br)[nH]c6cccc(C4=C3)c56)(O[C@@]2(O)[C@@H]7CCCN7C1=O)C(C)C 7065
CC(C)C[C@@H]1N2C(=O)[C@](NC(=O)[C@H]3CN(C)[C@@H]4Cc5c(Br)[nH]c6cccc(C4=C3)c56)(O[C@@]2(O)[C@@H]7CCCN7C1=O)C(C)C.CS(=O)(=O)O 674454
CC(C)C[C@H](CN)CC(=O)O 136161
CC(C)C[C@H](NC(=O)CNC(=O)c1cc(Cl)ccc1Cl)B2OC(=O)C(CC(=O)O)(CC(=O)O)O2 1927281
CC(C)N(CCC(C(=O)N)(c1ccccc1)c2ccccn2)C(C)C 11143
CC(C)N(CCC(C(=O)N)(c1ccccc1)c2ccccn2)C(C)C.OP(=O)(O)O 674971
CC(C)N(CCCCOCC(=O)NS(=O)(=O)C)c1cnc(c2ccccc2)c(n1)c3ccccc3 406189
CC(C)N(CC[C@H](c1ccccc1)c2cc(C)ccc2O)C(C)C 321964
CC(C)N(CC[C@H](c1ccccc1)c2cc(C)ccc2O)C(C)C.OC(C(O)C(=O)O)C(=O)O 1102940
CC(C)N(CC[C@H](c1ccccc1)c2cc(CO)ccc2OC(=O)C(C)C)C(C)C 675715
CC(C)N(CC[C@H](c1ccccc1)c2cc(CO)ccc2OC(=O)C(C)C)C(C)C.OC(=O)\C=C\C(=O)O 675716
CC(C)n1c(\C=C\C(O)CC(O)CC(=O)O)c(c2ccc(F)cc2)c3ccccc13 1450253
CC(C)NC(=N)NC(=N)Nc1ccc(Cl)cc1 320522
CC(C)NC(=O)NS(=O)(=O)c1cnccc1Nc2cccc(C)c2 180329
CC(C)Nc1cccnc1N2CCN(CC2)C(=O)c3cc4cc(NS(=O)(=O)C)ccc4[nH]3 19573
CC(C)Nc1cccnc1N2CCN(CC2)C(=O)c3cc4cc(NS(=O)(=O)C)ccc4[nH]3.CS(=O)(=O)O 85233
CC(C)NCC(O)c1cc(O)cc(O)c1 44647
CC(C)NCC(O)c1cc(O)cc(O)c1.OS(=O)(=O)O 674763
CC(C)NCC(O)c1ccc(NS(=O)(=O)C)cc1 5528
CC(C)NCC(O)COc1ccc(CC(=O)N)cc1 1279
CC(C)NCC(O)COc1ccc(CCOCC2CC2)cc1 1354
CC(C)NCC(O)COc1ccc(COCCOC(C)C)cc1 27417
CC(C)NCC(O)COc1ccc(COCCOC(C)C)cc1.OC(=O)\C=C\C(=O)O 674659
CC(C)NCC(O)COc1cccc2ccccc12 1370
CC(C)NCC(O)COc1cccc2[nH]ccc12 8543
CC(C)NCC(O)COc1ccccc1OCC=C 13756
CC(C)NCC1CCc2cc(CO)c(cc2N1)[N+](=O)[O-] 63445
CC(C)NCCCC1(C(=O)N)c2ccccc2c3ccccc13 675193
CC(C)OC(=O)C(C)(C)Oc1ccc(cc1)C(=O)c2ccc(Cl)cc2 28331
CC(C)OC(=O)OCOP(=O)(CO[C@H](C)Cn1cnc2c(N)ncnc12)OCOC(=O)OC(C)C 430522
CC(C)OC(=O)OCOP(=O)(CO[C@H](C)Cn1cnc2c(N)ncnc12)OCOC(=O)OC(C)C.OC(=O)\C=C\C(=O)O 417163
CC(C)OC(=O)[C@H](C)N[P@](=O)(CO[C@H](C)Cn1cnc2c(N)ncnc12)Oc3ccccc3 1380095
CC(C)OC(=O)[C@H](C)N[P@](=O)(CO[C@H](C)Cn1cnc2c(N)ncnc12)Oc3ccccc3.CC(C)OC(=O)[C@H](C)N[P@](=O)(CO[C@H](C)Cn4cnc5c(N)ncnc45)Oc6ccccc6.OC(=O)\C=C\C(=O)O 1540509
CC(C)OC(=O)[C@H](C)N[P@](=O)(OC[C@H]1O[C@@H](N2C=CC(=O)NC2=O)[C@](C)(F)[C@@H]1O)Oc3ccccc3 708075
CC(C)Oc1cc(C2CCNCC2)c(C)cc1Nc3ncc(Cl)c(Nc4ccccc4S(=O)(=O)C(C)C)n3 1570706
CC(C)[C@@H](C)\C=C\[C@@H](C)[C@H]1CC[C@H]2\C(=C\C=C/3\C[C@@H](O)CCC3=C)\CCC[C@]12C 430124
CC(C)[C@@H](C)\C=C\[C@@H](C)[C@H]1CC[C@H]2\C(=C\C=C/3\C[C@@H](O)C[C@H](O)C3=C)\CCC[C@]12C 674761
CC(C)[C@@H]1CC[C@H](CC1)C(=O)N[C@H](Cc2ccccc2)C(=O)O 46727
CC(C)[C@H](N)C(=O)OCC(CO)OCn1cnc2C(=O)NC(=Nc12)N 675265
CC(C)[C@H](N)C(=O)OCCOCn1cnc2C(=O)N=C(N)Nc12 297372
CC(C)[C@H](N1CCCNC1=O)C(=O)N[C@H](C[C@H](O)[C@H](Cc2ccccc2)NC(=O)COc3c(C)cccc3C)Cc4ccccc4 37316
CC(C)[C@H](NC(=O)N(C)Cc1csc(n1)C(C)C)C(=O)N[C@H](C[C@H](O)[C@H](Cc2ccccc2)NC(=O)OCc3cncs3)Cc4ccccc4 88100
CC(C)[N+](C)(CCC(C(=O)N)(c1ccccc1)c2ccccc2)C(C)C 675183
CC(C)[N+](C)(CCOC(=O)C1c2ccccc2Oc3ccccc13)C(C)C 654675
CC(C)\N=C\1/C=C2N(c3ccc(Cl)cc3)c4ccccc4N=C2C=C1Nc5ccc(Cl)cc5 255347
CC(Cc1ccc2OCOc2c1)NCC(O)c3ccc(O)c(O)c3 675224
CC(CCc1ccccc1)NCC(O)c2ccc(O)c(c2)C(=O)N 1785
CC(CN(C)C)CN1c2ccccc2CCc3ccccc13 27385
CC(CN(C)C)CN1c2ccccc2CCc3ccccc13.OC(=O)\C=C/C(=O)O 674899
CC(CN(C)C)CN1c2ccccc2Sc3ccccc13 57833
CC(CN(C)C)CN1c2ccccc2Sc3ccccc13.OC(C(O)C(=O)O)C(=O)O 1093813
CC(CN1c2ccccc2Sc3ccccc13)N(C)C 27368
CC(COc1ccccc1)N(CCCl)Cc2ccccc2 41434
CC(C[N+](C)(C)C)OC(=O)N 406520
CC(N(O)C(=O)N)c1cc2ccccc2s1 9217
CC(N)C(=O)Nc1c(C)cccc1C 583520
CC(N)C(O)c1ccccc1 94091
CC(N)C12CC3CC(CC(C3)C1)C2 93858
CC(N)Cc1ccccc1 543
CC(N)Cc1ccccc1.NC(CC(=O)O)C(=O)O 674328
CC(N)Cc1ccccc1.OC(=O)CCCCC(=O)O 674338
CC(N)Cc1ccccc1.OS(=O)(=O)O 8838
CC(N)COc1c(C)cccc1C 15958
CC(NC(C)(C)C)C(=O)c1cccc(Cl)c1 77128
CC(N\C(=N/C#N)\Nc1ccncc1)C(C)(C)C 187515
CC(O)(CS(=O)(=O)c1ccc(F)cc1)C(=O)Nc2ccc(C#N)c(c2)C(F)(F)F 717
CC(O)(P(=O)(O)O)P(=O)(O)O 70675
CC(O)C(=O)O.Cc1[nH]c2ccccc2c1CCNCc3ccc(\C=C\C(=O)NO)cc3 1927217
CC(S)C(=O)NCC(=O)O 264400
CC1(C)CCC(=C(C1)c2ccc(Cl)cc2)CN3CCN(CC3)c4ccc(C(=O)NS(=O)(=O)c5ccc(NCC6CCOCC6)c(c5)N(=O)=O)c(Oc7cnc8[nH]ccc8c7)c4 1626740
CC1(C)NC(=O)N(C1=O)c2ccc(c(c2)C(F)(F)F)[N+](=O)[O-] 249414
CC1(C)O[C@@H]2CO[C@@]3(COS(=O)(=O)N)OC(C)(C)O[C@H]3[C@@H]2O1 366279
CC1(C)S[C@@H]2[C@H](N3C(=O)[C@H](NC3(C)C)c4ccccc4)C(=O)N2[C@H]1C(=O)O 675067
CC1(C)S[C@@H]2[C@H](NC(=O)C(C(=O)Oc3ccc4CCCc4c3)c5ccccc5)C(=O)N2[C@H]1C(=O)O 454373
CC1(C)S[C@@H]2[C@H](NC(=O)C3(N)CCCCC3)C(=O)N2[C@H]1C(=O)O 674307
CC1(C)S[C@@H]2[C@H](NC(=O)Cc3ccccc3)C(=O)N2[C@H]1C(=O)O 1615
CC1(C)S[C@@H]2[C@H](NC(=O)Cc3ccccc3)C(=O)N2[C@H]1C(=O)O.C(CNCc4ccccc4)NCc5ccccc5 674602
CC1(C)S[C@@H]2[C@H](NC(=O)COc3ccccc3)C(=O)N2[C@H]1C(=O)O 24806
CC1(C)S[C@@H]2[C@H](NC(=O)[C@H](N)c3ccc(O)cc3)C(=O)N2[C@H]1C(=O)O 143284
CC1(C)S[C@@H]2[C@H](NC(=O)[C@H](N)c3ccccc3)C(=O)N2[C@H]1C(=O)O 305519
CC12CC3CC(C)(C1)CC(N)(C3)C2 52523
CC1=C(CCN2CCC(CC2)c3noc4cc(F)ccc34)C(=O)N5CCCC(O)C5=N1 468656
CC1=C(CCN2CCC(CC2)c3noc4cc(F)ccc34)C(=O)N5CCCCC5=N1 7714
CC1=C(N2[C@H](SC1)[C@H](NC(=O)[C@H](N)C3=CCC=CC3)C2=O)C(=O)O 454576
CC1=C(N2[C@H](SC1)[C@H](NC(=O)[C@H](N)c3ccc(O)cc3)C2=O)C(=O)O 485902
CC1=C(N2[C@H](SC1)[C@H](NC(=O)[C@H](N)c3ccccc3)C2=O)C(=O)O 555972
CC1=C(Oc2c(cccc2C1=O)C(=O)OCCN3CCCCC3)c4ccccc4 418484
CC1=CC(=O)Oc2c(C)c3oc(C)cc3cc12 402531
CC1=CN(C(=O)C=C1)c2ccccc2 705377
CC1=CN([C@@H]2C[C@@H](O)[C@H](CO)O2)C(=O)NC1=O 366271
CC1=CN([C@@H]2O[C@H](CO)C=C2)C(=O)NC1=O 107119
CC1=CN([C@H]2C[C@H](N=[N+]=[N-])[C@@H](CO)O2)C(=O)NC1=O 27307
CC1=NN(C(=O)/C/1=N\Nc2cccc(c2O)c3cccc(c3)C(=O)O)c4ccc(C)c(C)c4 457398
CC1=NN(C(=O)/C/1=N\Nc2cccc(c2O)c3cccc(c3)C(=O)O)c4ccc(C)c(C)c4.NCCO 457400
CC1=NS(=O)(=O)c2cc(Cl)ccc2N1 364859
Cc1c(C)c2OC(C)(COc3ccc(CC4SC(=O)NC4=O)cc3)CCc2c(C)c1O 666
Cc1c(c2ccc(O)cc2)n(Cc3ccc(OCCN4CCCCCC4)cc3)c5ccc(O)cc15 65648
Cc1c(O)cccc1C(=O)N[C@@H](CSc2ccccc2)[C@H](O)CN3C[C@H]4CCCC[C@H]4C[C@H]3C(=O)NC(C)(C)C 17224
Cc1c(O)cccc1C(=O)N[C@@H](CSc2ccccc2)[C@H](O)CN3C[C@H]4CCCC[C@H]4C[C@H]3C(=O)NC(C)(C)C.CS(=O)(=O)O 213505
Cc1c(OCC(F)(F)F)ccnc1C[S+]([O-])c2nc3ccccc3[nH]2 5975
Cc1c(OCC(F)(F)F)ccnc1C[S+]([O-])c2nc3ccccc3[nH]2 675812
CC1C(OCCN1C)c2ccccc2 574499
CC1C(OCCN1C)c2ccccc2.OC(C(O)C(=O)O)C(=O)O 1239094
Cc1cc(C)cc(OCC2CNC(=O)O2)c1 611679
Cc1cc(C)nc(NS(=O)(=O)c2ccc(N)cc2)n1 2265
Cc1cc(cc(C)c1Oc2nc(Nc3ccc(cc3)C#N)nc(N)c2Br)C#N 113138
Cc1cc(\C=C\C#N)cc(C)c1Nc2ccnc(Nc3ccc(cc3)C#N)n2 296388
Cc1cc2c(cc1C(=C)c3ccc(cc3)C(=O)O)C(C)(C)CCC2(C)C 119498
CC1Cc2ccccc2N1NC(=O)c3ccc(Cl)c(c3)S(=O)(=O)N 619
Cc1ccc(C)c(OCCCC(C)(C)C(=O)O)c1 2994
Cc1ccc(cc1)C(=O)c2cc(O)c(O)c(c2)[N+](=O)[O-] 267825
Cc1ccc(cc1)C(=O)c2ccc(CC(=O)O)n2C 118617
Cc1ccc(cc1)c2cc(nn2c3ccc(cc3)S(=O)(=O)N)C(F)(F)F 18694
Cc1ccc(cc1)S(=O)(=O)NC(=O)NN2CCCCCC2 56131
Cc1ccc(cc1)\C(=C/CN2CCCC2)\c3cccc(\C=C\C(=O)O)n3 226880
Cc1ccc(cc1)\C(=C/CN2CCCC2)\c3ccccn3 65539
Cc1ccc(cc1Cc2ccc(s2)c3ccc(F)cc3)[C@@H]4O[C@H](CO)[C@@H](O)[C@H](O)[C@H]4O 1351917
Cc1ccc(Cl)c(Nc2ccccc2C(=O)O)c1Cl 10531
Cc1ccc(NC(=O)C2(CC2)c3ccc4OC(F)(F)Oc4c3)nc1c5cccc(c5)C(=O)O 1376140
Cc1ccc(Sc2ccccc2N3CCNCC3)c(C)c1 1377263
Cc1cccc(CN2CCN(CC2)C(c3ccccc3)c4ccc(Cl)cc4)c1 469632
Cc1cccc(Nc2ccccc2C(=O)O)c1C 29989
Cc1ccccc1C(=O)Nc2ccc(C(=O)N3CCCC(O)c4cc(Cl)ccc34)c(C)c2 227437
Cc1ccnc(NS(=O)(=O)c2ccc(N)cc2)n1 2130
Cc1ccnc2N(C3CC3)c4ncccc4C(=O)Nc12 4345
Cc1ccsc1C(=CCCN2CCC[C@H](C2)C(=O)O)c3sccc3C 122170
CC1CN(CCN1)c2cc3N(C=C(C(=O)O)C(=O)c3c(C)c2F)C4CC4 17136
Cc1cn(cn1)c2cc(NC(=O)c3ccc(C)c(Nc4nccc(n4)c5cccnc5)c3)cc(c2)C(F)(F)F 426660
Cc1cnc(cn1)C(=O)NCCc2ccc(cc2)S(=O)(=O)NC(=O)NC3CCCCC3 139286
Cc1cnc(cn1)C(=O)N[C@H]2CCCCC\C=C/[C@@H]3C[C@]3(NC(=O)[C@@H]4C[C@H](CN4C2=O)Oc5nc6ccccc6c7ccccc57)C(=O)NS(=O)(=O)C8CC8 1825632
CC1COc2c(N3CCN(C)CC3)c(F)cc4C(=O)C(=CN1c24)C(=O)O 146
Cc1nc(Nc2ncc(s2)C(=O)Nc3c(C)cccc3Cl)cc(n1)N4CCN(CCO)CC4 361469
CC1Nc2cc(Cl)c(cc2C(=O)N1c3ccccc3C)S(=O)(=O)N 73548
Cc1ncc(CO)c(CO)c1O 308201
Cc1ncc([N+](=O)[O-])n1CCO 27912
Cc1ncc2CN=C(c3ccccc3F)c4cc(Cl)ccc4n12 27611
Cc1nccn1CC2CCc3c(C2=O)c4ccccc4n3C 3183
CC1NCCOC1c2ccccc2 675159
Cc1nnc(NS(=O)(=O)c2ccc(N)cc2)s1 204115
Cc1nnc2CN=C(c3ccccc3)c4cc(Cl)ccc4n12 27648
Cc1nnc2CN=C(c3ccccc3Cl)c4cc(Cl)ccc4n12 27419
Cc1noc(NS(=O)(=O)c2ccc(N)cc2)c1C 2484
CC1OC2(CS1)CN3CCC2CC3 279727
Cc1onc(c1)C(=O)NNCc2ccccc2 675119
Cc1onc(c1C(=O)N[C@H]2[C@H]3SC(C)(C)[C@@H](N3C2=O)C(=O)O)c4c(Cl)cccc4Cl 77085
Cc1onc(c2ccccc2)c1C(=O)N[C@H]3[C@H]4SC(C)(C)[C@@H](N4C3=O)C(=O)O 56432
Cc1onc(c2ccccc2)c1c3ccc(cc3)S(=O)(=O)N 67010
Cc1onc(c2ccccc2Cl)c1C(=O)N[C@H]3[C@H]4SC(C)(C)[C@@H](N4C3=O)C(=O)O 76766
Cc1onc(NS(=O)(=O)c2ccc(N)cc2)c1 2247
Cc1oncc1C(=O)Nc2ccc(cc2)C(F)(F)F 93895
Cc1[nH]c2ccccc2c1CCNCc3ccc(\C=C\C(=O)NO)cc3 499179
Cc1[nH]cnc1CN2CCc3c(C2=O)c4ccccc4n3C 153342
CC=CC1=C(N2[C@H](SC1)[C@H](NC(=O)[C@H](N)c3ccc(O)cc3)C2=O)C(=O)O 1763771
CCC(=C)C(=O)c1ccc(OCC(=O)O)c(Cl)c1Cl 2654
CCC(=O)C(CC(C)N(C)C)(c1ccccc1)c2ccccc2 27576
CCC(=O)c1ccc2Sc3ccccc3N(CCCN4CCN(CCO)CC4)c2c1 675279
CCC(=O)c1ccc2Sc3ccccc3N(CCCN4CCN(CCO)CC4)c2c1.OC(=O)\C=C/C(=O)O.OC(=O)\C=C/C(=O)O 1535336
CCC(=O)N(C1CCN(CCc2ccccc2)CC1)c3ccccc3 19915
CCC(=O)N(C1CCN(CCc2ccccc2)CC1)c3ccccc3.OC(=O)CC(O)(CC(=O)O)C(=O)O 30072
CCC(=O)NCC[C@@H]1CCc2ccc3OCCc3c12 221962
CCC(=O)NC[C@@H]1C[C@H]1c2cccc3OCCc23 1376092
CCC(=O)O[C@@H](O[P@](=O)(CCCCc1ccccc1)CC(=O)N2C[C@@H](C[C@H]2C(=O)O)C3CCCCC3)C(C)C 1592409
CCC(=O)O[C@@](Cc1ccccc1)([C@H](C)CN(C)C)c2ccccc2 685193
CCC(=O)O[C@@](Cc1ccccc1)([C@H](C)CN(C)C)c2ccccc2.OS(=O)(=O)c3ccc4ccccc4c3 699436
CCC(=O)O[C@](Cc1ccccc1)([C@@H](C)CN(C)C)c2ccccc2 1118041
CCC(=O)O[C@](Cc1ccccc1)([C@@H](C)CN(C)C)c2ccccc2.OS(=O)(=O)c3ccc4ccccc4c3 1017790
CCC(C)(C)C(=O)O[C@H]1C[C@@H](C)C=C2C=C[C@H](C)[C@H](CC[C@@H]3C[C@@H](O)CC(=O)O3)[C@@H]12 138562
CCC(C)C(C)(COC(=O)N)COC(=O)N 674873
CCC(C)C1(CC)C(=O)NC(=O)NC1=O 2393
CCC(C)C1(CC=C)C(=O)NC(=O)NC1=O 674753
CCC(C)N1N=CN(C1=O)c2ccc(cc2)N3CCN(CC3)c4ccc(OC[C@H]5CO[C@@](Cn6cncn6)(O5)c7ccc(Cl)cc7Cl)cc4 27986
CCC(C)[C@@H]1N2C(=O)[C@](NC(=O)[C@@H]3C[C@H]4[C@@H](Cc5c[nH]c6cccc4c56)N(C)C3)(O[C@@]2(O)[C@@H]7CCCN7C1=O)C(C)C.CC(C)C[C@@H]8N9C(=O)[C@](NC(=O)[C@@H]%10C[C@H]%11[C@@H](Cc%12c[nH]c%13cccc%11c%12%13)N(C)C%10)(O[C@@]9(O)[C@@H]%14CCCN%14C8=O)C(C)C.CC(C)[C@@H]%15N%16C(=O)[C@](NC(=O)[C@@H]%17C[C@H]%18[C@@H](Cc%19c[nH]c%20cccc%18c%19%20)N(C)C%17)(O[C@@]%16(O)[C@@H]%21CCCN%21C%15=O)C(C)C.CC(C)[C@@]%22(NC(=O)[C@@H]%23C[C@H]%24[C@@H](Cc%25c[nH]c%26cccc%24c%25%26)N(C)C%23)O[C@@]%27(O)[C@@H]%28CCCN%28C(=O)[C@H](Cc%29ccccc%29)N%27C%22=O.CS(=O)(=O)O.CS(=O)(=O)O.CS(=O)(=O)O.CS(=O)(=O)O 1510461
CCC(C)[C@@H]1N2C(=O)[C@](NC(=O)[C@@H]3C[C@H]4[C@@H](Cc5c[nH]c6cccc4c56)N(C)C3)(O[C@@]2(O)[C@@H]7CCCN7C1=O)C(C)C.CC(C)C[C@@H]8N9C(=O)[C@](NC(=O)[C@@H]%10C[C@H]%11[C@@H](Cc%12c[nH]c%13cccc%11c%12%13)N(C)C%10)(O[C@@]9(O)[C@@H]%14CCCN%14C8=O)C(C)C.CC(C)[C@@H]%15N%16C(=O)[C@](NC(=O)[C@@H]%17C[C@H]%18[C@@H](Cc%19c[nH]c%20cccc%18c%19%20)N(C)C%17)(O[C@@]%16(O)[C@@H]%21CCCN%21C%15=O)C(C)C.CC(C)[C@@]%22(NC(=O)[C@@H]%23C[C@H]%24[C@@H](Cc%25c[nH]c%26cccc%24c%25%26)N(C)C%23)O[C@@]%27(O)[C@@H]%28CCCN%28C(=O)[C@H](Cc%29ccccc%29)N%27C%22=O 1540806
CCC(C1=C(O)Oc2ccccc2C1=O)c3ccccc3 17471
CCC(Cc1c(I)cc(I)c(N)c1I)C(=O)O 68817
CCC(O)(\C=C\Cl)C#C 19469
CCC1(C(=O)NCNC1=O)c2ccccc2 65728
CCC1(C)CC(=O)NC1=O 31811
CCC1(C)OC(=O)N(C)C1=O 150989
CCC1(CC)C(=O)NC(=O)N(C)C1=O 2408
CCC1(CC)C(=O)NCC(C)C1=O 674741
CCC1(CCC(=O)NC1=O)c2ccc(N)cc2 6317
CCC1(CCC(=O)NC1=O)c2ccccc2 151300
CCC1(NC(=O)N(C)C1=O)c2ccccc2 66016
CCC1=C(C)CN(C(=O)NCCc2ccc(cc2)S(=O)(=O)NC(=O)N[C@@H]3CC[C@@H](C)CC3)C1=O 405366
CCC1=NN(CCCN2CCN(CC2)c3cccc(Cl)c3)C(=O)N1CCOc4ccccc4 26465
CCc1c(C)[nH]c2CCC(CN3CCOCC3)C(=O)c12 3799
CCc1cc(ccn1)C(=S)N 374005
CCc1cc2C(=O)c3c([nH]c4cc(ccc34)C#N)C(C)(C)c2cc1N5CCC(CC5)N6CCOCC6 1117844
CCc1ccc(CCOc2ccc(CC3SC(=O)NC3=O)cc2)nc1 19737
CCc1cccc2c3CCOC(CC)(CC(=O)O)c3[nH]c12 26431
CCC1NC(=O)c2cc(c(Cl)cc2N1)S(=O)(=O)N 428791
CCc1nc(N)nc(N)c1c2ccc(Cl)cc2 2080
CCCC(=O)Nc1c(I)cc(I)c(CC(CC)C(=O)O)c1I 675212
CCCC(=O)Nc1ccc(OCC(O)CNC(C)C)c(c1)C(=O)C 27347
CCCC(C)(COC(=O)N)COC(=O)N 99389
CCCC(C)(COC(=O)N)COC(=O)NC(C)C 230249
CCCC(C)C1(CC)C(=O)NC(=O)NC1=O 2327
CCCC(C)C1(CC=C)C(=O)NC(=O)NC1=O 2326
CCCC(CCC)C(=O)O 15217
CCCC(CCC)C(=O)O[C@H]1C[C@H]2CC[C@@H](C1)[N+]2(C)C 660560
CCCC1=CC(=O)NC(=S)N1 421208
CCCc1nc(c(C(=O)OCC2=C(C)OC(=O)O2)n1Cc3ccc(cc3)c4ccccc4c5nnn[nH]5)C(C)(C)O 674643
CCCc1nc(C)c2C(=O)N=C(Nn12)c3cc(ccc3OCC)S(=O)(=O)N4CCN(CC)CC4 421326
CCCc1nc2c(C)cc(cc2n1Cc3ccc(cc3)c4ccccc4C(=O)O)c5nc6ccccc6n5C 116949
CCCc1nn(C)c2C(=O)NC(=Nc12)c3cc(ccc3OCC)S(=O)(=O)N4CCN(C)CC4 410802
CCCc1nn(C)c2C(=O)NC(=Nc12)c3cc(ccc3OCC)S(=O)(=O)N4CCN(C)CC4.OC(=O)CC(O)(CC(=O)O)C(=O)O 564291
CCCC1O[C@@H]2C[C@H]3[C@@H]4CCC5=CC(=O)C=C[C@]5(C)[C@H]4[C@@H](O)C[C@]3(C)[C@@]2(O1)C(=O)CO 313314
CCCCC(=O)N(Cc1ccc(cc1)c2ccccc2c3nnn[nH]3)[C@@H](C(C)C)C(=O)O 139045
CCCCC(=O)O[C@H]1CC[C@H]2[C@@H]3CCc4cc(O)ccc4[C@H]3CC[C@]12C 421038
CCCCC(C)(O)C\C=C\[C@H]1[C@H](O)CC(=O)[C@@H]1CCCCCCC(=O)OC 22391
CCCCC(F)(F)[C@@]1(O)CC[C@@H]2[C@@H](CCCCCCC(=O)O)C(=O)C[C@H]2O1 675085
CCCCC1=NC2(CCCC2)C(=O)N1Cc3ccc(cc3)c4ccccc4c5nn[nH]n5 421066
CCCCC1C(=O)N(N(C1=O)c2ccc(O)cc2)c3ccccc3 227917
CCCCC1C(=O)N(N(C1=O)c2ccccc2)c3ccccc3 12417
CCCCc1nc(Cl)c(CO)n1Cc2ccc(cc2)c3ccccc3c4nnn[nH]4 408842
CCCCc1ncc(\C=C(/Cc2cccs2)\C(=O)O)n1Cc3ccc(cc3)C(=O)O 54211
CCCCc1ncc(\C=C(/Cc2cccs2)\C(=O)O)n1Cc3ccc(cc3)C(=O)O.CS(=O)(=O)O 674938
CCCCc1oc2ccccc2c1C(=O)c3cc(I)c(OCCN(CC)CC)c(I)c3 27185
CCCCCc1cc(O)c2[C@@H]3C=C(C)CC[C@H]3C(C)(C)Oc2c1 4496
CCCCCCC(C)(C)c1cc(O)c2C3CC(=O)CCC3C(C)(C)Oc2c1 1449169
CCCCCCCC(=O)N[C@H](CN1CCCC1)[C@H](O)c2ccc3OCCOc3c2 1383028
CCCCCCCC(=O)N[C@H](CN1CCCC1)[C@H](O)c2ccc3OCCOc3c2.OC(C(O)C(=O)O)C(=O)O 1376123
CCCCCCCCc1ccc(CCC(N)(CO)CO)cc1 144940
CCCCCCCCCCCCCCCC(=O)OC[C@@H](NC(=O)C(Cl)Cl)[C@H](O)c1ccc(cc1)[N+](=O)[O-] 420999
CCCCCCCCCCCCCCCC(=O)O[C@@H]1[C@@H](O)[C@@H](O)[C@@H](O[C@@H]1SC)C(NC(=O)[C@@H]2C[C@@H](CCC)CN2C)[C@H](C)Cl 699471
CCCCCCCCCCCCCCCCCC(=O)O.CC[C@H]1OC(=O)[C@H](C)[C@@H](O[C@H]2C[C@@](C)(OC)[C@@H](O)[C@H](C)O2)[C@H](C)[C@@H](O[C@@H]3O[C@H](C)C[C@@H]([C@H]3O)N(C)C)[C@](C)(O)C[C@@H](C)C(=O)[C@H](C)[C@@H](O)[C@]1(C)O 674461
CCCCCCCCCCCCCCCCOP(=O)([O-])OCC[N+](C)(C)C 25047
CCCCCCCCCCCCOS(=O)(=O)O.CC[C@H]1OC(=O)[C@H](C)[C@@H](O[C@H]2C[C@@](C)(OC)[C@@H](O)[C@H](C)O2)[C@H](C)[C@@H](O[C@@H]3O[C@H](C)C[C@@H]([C@H]3OC(=O)CC)N(C)C)[C@](C)(O)C[C@@H](C)C(=O)[C@H](C)[C@@H](O)[C@]1(C)O 1449150
CCCCCCCCCCC[C@@H](C[C@@H]1OC(=O)[C@H]1CCCCCC)OC(=O)[C@H](CC(C)C)NC=O 293438
CCCCCCOC(=O)\N=C(/N)\c1ccc(NCc2nc3cc(ccc3n2C)C(=O)N(CCC(=O)OCC)c4ccccn4)cc1 561520
CCCCCCOC(=O)\N=C(/N)\c1ccc(NCc2nc3cc(ccc3n2C)C(=O)N(CCC(=O)OCC)c4ccccn4)cc1.CS(=O)(=O)O 1038352
CCCCCN(C)CCC(O)(P(=O)(O)O)P(=O)(O)O 110435
CCCCCNC(=N)N\N=C\c1c[nH]c2ccc(OC)cc12 122247
CCCCCNC(=N)N\N=C\c1c[nH]c2ccc(OC)cc12.OC(=O)\C=C/C(=O)O 940358
CCCCCOC(=O)NC1=NC(=O)N(C=C1F)[C@@H]2O[C@H](C)[C@@H](O)[C@H]2O 598447
CCCCC[C@H](O)CC[C@H]1[C@H](O)C[C@@H]2Cc3c(C[C@H]12)cccc3OCC(=O)O 699470
CCCCC[C@H](O)CC[C@H]1[C@H](O)C[C@@H]2Cc3c(C[C@H]12)cccc3OCC(=O)O.OCCNCCO 1380085
CCCCC\C=C/C\C=C/CCCCCCCC(=O)O.CCCCC\C=C/C\C=C/C\C=C/CCCCC(=O)O.CCCCC\C=C/C\C=C/C\C=C/C\C=C/C\C=C/CCC(=O)O.CC\C=C/C\C=C/C\C=C/CCCCCCCC(=O)O.CC\C=C/C\C=C/C\C=C/C\C=C/CCCCCCC(=O)O.CC\C=C/C\C=C/C\C=C/C\C=C/C\C=C/CCCCCC(=O)O.CC\C=C/C\C=C/C\C=C/C\C=C/C\C=C/CCCCC(=O)O.CC\C=C/C\C=C/C\C=C/C\C=C/C\C=C/CCCC(=O)O.CC\C=C/C\C=C/C\C=C/C\C=C/C\C=C/C\C=C/CCC(=O)O 1626758
CCCCN(CCCC)CC(O)c1cc(Cl)cc2\C(=C\c3ccc(Cl)cc3)\c4cc(Cl)ccc4c12 252768
CCCCN(CCCC)CCC(O)c1cc2c(Cl)cc(Cl)cc2c3cc(ccc13)C(F)(F)F 152728
CCCCN(CCCC)CCCOc1ccc(cc1)C(=O)c2c(CCCC)oc3ccc(NS(=O)(=O)C)cc23 308422
CCCCN1C[C@H](O)[C@@H](O)[C@H](O)[C@H]1CO 122901
CCCCNC(=O)NS(=O)(=O)c1ccc(C)cc1 46726
CCCCNc1cc(cc(c1Oc2ccccc2)S(=O)(=O)N)C(=O)O 139281
CCCCNc1ccc(cc1)C(=O)OCCOCCOCCOCCOCCOCCOCCOCCOCCOC 798263
CCCN(CCC)CCc1cccc2NC(=O)Cc12 19316
CCCN(CCC)S(=O)(=O)c1ccc(cc1)C(=O)O 77474
CCCN1C[C@H](CSC)C[C@H]2[C@H]1Cc3c[nH]c4cccc2c34 12494
CCCN1C[C@H](CSC)C[C@H]2[C@H]1Cc3c[nH]c4cccc2c34.CS(=O)(=O)O 249814
CCCNC(=O)NS(=O)(=O)c1ccc(Cl)cc1 8516
CCCNCC(O)COc1ccccc1C(=O)CCc2ccccc2 27112
CCCNS(=O)(=O)Nc1ncnc(OCCOc2ncc(Br)cn2)c1c3ccc(Br)cc3 1376143
CCCN[C@H]1CCc2nc(N)sc2C1 88815
CCCS(=O)(=O)Nc1ccc(F)c(C(=O)c2c[nH]c3ncc(cc23)c4ccc(Cl)cc4)c1F 691867
CCCSc1ccc2nc(NC(=O)OC)[nH]c2c1 406787
CCCSc1nc(N[C@@H]2C[C@H]2c3ccc(F)c(F)c3)c4nnn([C@@H]5C[C@H](OCCO)[C@@H](O)[C@H]5O)c4n1 416772
CCC[C@@H]1C[C@H](N(C)C1)C(=O)N[C@H]([C@@H](C)O)[C@H]2O[C@H](SC)[C@H](O)[C@@H](O)[C@H]2O 378207
CCC[C@@H]1C[C@H](N(C)C1)C(=O)N[C@H]([C@H](C)Cl)[C@H]2O[C@H](SC)[C@H](O)[C@@H](O)[C@H]2O 581843
CCC[C@@]1(CCc2ccccc2)CC(=C([C@H](CC)c3cccc(NS(=O)(=O)c4ccc(cn4)C(F)(F)F)c3)C(=O)O1)O 372438
CCC[C@H](N[C@@H](C)C(=O)N1[C@H]2CCCC[C@H]2C[C@H]1C(=O)O)C(=O)OCC 453579
CCC[C@H](N[C@@H](C)C(=O)N1[C@H]2CCCC[C@H]2C[C@H]1C(=O)O)C(=O)OCC.CC(C)(C)N 674294
CCC[C@H](N[C@@H](C)C(=O)N1[C@H]2CCCC[C@H]2C[C@H]1C(=O)O)C(=O)OCC.N[C@@H](CCCNC(=N)N)C(=O)O 1926835
CCC[C@H]1CN([C@@H](CC)C(=O)N)C(=O)C1 609761
CCN(C(=O)C)c1cccc(c1)c2ccnc3c(cnn23)C#N 421332
CCN(C)C(=O)Oc1cccc(c1)[C@H](C)N(C)C 27251
CCN(C)C(=O)Oc1cccc(c1)[C@H](C)N(C)C.OC(C(O)C(=O)O)C(=O)O 355897
CCN(CC)C(=O)C1(CC1CN)c2ccccc2 427379
CCN(CC)C(=O)N1CCN(C)CC1 29569
CCN(CC)C(=O)N1CCN(C)CC1.OC(=O)CC(O)(CC(=O)O)C(=O)O 86784
CCN(CC)C(=O)[C@]1(C[C@H]1CN)c2ccccc2 164035
CCN(CC)C(=O)\C(=C\c1cc(O)c(O)c(c1)[N+](=O)[O-])\C#N 92412
CCN(CC)C(=S)SSC(=S)N(CC)CC 94571
CCN(CC)C(C)C(=O)c1ccccc1 668616
CCN(CC)C(C)CN1c2ccccc2Sc3ccccc13 213639
CCN(CC)CC#CCOC(=O)C(O)(C1CCCCC1)c2ccccc2 229058
CCN(CC)CC(=O)Nc1c(C)cccc1C 6723
CCN(CC)Cc1cc(Nc2ccnc3cc(Cl)ccc23)ccc1O 29097
CCN(CC)CCCC(C)Nc1ccnc2cc(Cl)ccc12 6579
CCN(CC)CCCC(C)Nc1ccnc2cc(Cl)ccc12.OP(=O)(O)O 270724
CCN(CC)CCN1C(=O)CN=C(c2ccccc2F)c3cc(Cl)ccc13 95929
CCN(CC)CCNC(=O)c1c(C)[nH]c(\C=C\2/C(=O)Nc3ccc(F)cc23)c1C 13048
CCN(CC)CCNC(=O)c1c(C)[nH]c(\C=C\2/C(=O)Nc3ccc(F)cc23)c1C.O[C@@H](CC(=O)O)C(=O)O 450864
CCN(CC)CCNC(=O)c1cc(Cl)c(N)cc1OC 7736
CCN(CC)CCNC(=O)c1ccc(N)cc1 27341
CCN(CC)CCOC(=O)C1(CCCCC1)C2CCCCC2 165774
CCN(CC)CCOc1ccc(cc1)C(=C(Cl)c2ccccc2)c3ccccc3 1532240
CCN(CC)CCOc1ccc(cc1)C(=C(Cl)c2ccccc2)c3ccccc3.OC(=O)CC(O)(CC(=O)O)C(=O)O 1675249
CCN(CCO)CCCC(C)Nc1ccnc2cc(Cl)ccc12 429737
CCN(CCO)CCCC(C)Nc1ccnc2cc(Cl)ccc12.OS(=O)(=O)O 529987
CCN1C(=O)NC(C1=O)c2ccccc2 150452
CCN1C=C(C(=O)O)C(=O)c2cc(F)c(cc12)N3CCNCC3 246
CCN1C=C(C(=O)O)C(=O)c2cc(F)c(N3CCNC(C)C3)c(F)c12 16278
CCN1C=C(C(=O)O)C(=O)c2cc(F)c(nc12)N3CCNCC3 57175
CCN1C=C(C(=O)O)C(=O)c2ccc(C)nc12 147
CCN1C=CC(=NC1=O)NS(=O)(=O)c2ccc(N)cc2 675007
CCN1N=C(C(=O)O)C(=O)c2cc3OCOc3cc12 214701
CCNC(=O)N(CCCN(C)C)C(=O)[C@@H]1C[C@H]2[C@@H](Cc3c[nH]c4cccc2c34)N(CC=C)C1 675038
CCO.CC(C)CN(C[C@@H](O)[C@H](Cc1ccccc1)NC(=O)O[C@H]2CO[C@H]3OCC[C@@H]23)S(=O)(=O)c4ccc(N)cc4 675078
CCOC(=O)C(C)(C)Oc1ccc(Cl)cc1 16415
CCOC(=O)C1(CCN(C)CC1)c2ccccc2 22528
CCOC(=O)C1(CCN(CCC(C#N)(c2ccccc2)c3ccccc3)CC1)c4ccccc4 675245
CCOC(=O)C1(CCN(CCc2ccc(N)cc2)CC1)c3ccccc3 675298
CCOC(=O)C1=C(C)NC(=C(C1c2cccc(Cl)c2Cl)C(=O)OC)C 405365
CCOC(=O)C1=C(COCCN)NC(=C(C1c2ccccc2Cl)C(=O)OC)C 418414
CCOC(=O)C1=C(COCCN)NC(=C(C1c2ccccc2Cl)C(=O)OC)C.OC(=O)\C=C/C(=O)O 674935
CCOC(=O)C1=C(COCCN)NC(=C(C1c2ccccc2Cl)C(=O)OC)C.OS(=O)(=O)c3ccccc3 674353
CCOC(=O)C1=C[C@@H](OC(CC)CC)[C@H](NC(=O)C)[C@@H](N)C1 228121
CCOC(=O)C1=C[C@@H](OC(CC)CC)[C@H](NC(=O)C)[C@@H](N)C1.OP(=O)(O)O 674291
CCOC(=O)CCC(=O)O[C@H]1[C@H](O[C@@H]2[C@@H](C)[C@H](O[C@H]3C[C@@](C)(OC)[C@@H](O)[C@H](C)O3)[C@@H](C)C(=O)O[C@H](CC)[C@@](C)(O)[C@H](O)[C@@H](C)C(=O)[C@H](C)C[C@@]2(C)O)O[C@H](C)C[C@@H]1N(C)C 674639
CCOC(=O)CCC\C=C/C\C=C/C\C=C/C\C=C/C\C=C/CC 1369605
CCOC(=O)CCC\C=C/C\C=C/C\C=C/C\C=C/C\C=C/CC.CCOC(=O)CC\C=C/C\C=C/C\C=C/C\C=C/C\C=C/C\C=C/CC 674662
CCOC(=O)N1CCC(=C2c3ccc(Cl)cc3CCc4cccnc24)CC1 110803
CCOC(=O)Nc1ccc(NCc2ccc(F)cc2)cc1N 61945
CCOC(=O)Nc1ccc2Sc3ccccc3N(C(=O)CCN4CCOCC4)c2c1 139866
CCOC(=O)N[C@@H]1CC[C@@H]2[C@@H](C1)C[C@@H]3[C@@H]([C@@H](C)OC3=O)[C@H]2\C=C\c4ccc(cn4)c5cccc(F)c5 486977
CCOC(=O)N[C@@H]1CC[C@@H]2[C@@H](C1)C[C@@H]3[C@@H]([C@@H](C)OC3=O)[C@H]2\C=C\c4ccc(cn4)c5cccc(F)c5.OS(=O)(=O)O 1379656
CCOC(=O)OC(C)OC(=O)[C@@H]1N2[C@H](SC1(C)C)[C@H](NC(=O)[C@H](N)c3ccccc3)C2=O 453719
CCOC(=O)[C@H](C)C[C@@H](Cc1ccc(cc1)c2ccccc2)NC(=O)CCC(=O)O 1626732
CCOC(=O)[C@H](CCc1ccccc1)N[C@@H](C)C(=O)N2CC3(C[C@H]2C(=O)O)SCCS3 1967
CCOC(=O)[C@H](CCc1ccccc1)N[C@@H](C)C(=O)N2Cc3cc(OC)c(OC)cc3C[C@H]2C(=O)O 188707
CCOC(=O)[C@H](CCc1ccccc1)N[C@@H](C)C(=O)N2Cc3ccccc3C[C@H]2C(=O)O 454141
CCOC(=O)[C@H](CCc1ccccc1)N[C@@H](C)C(=O)N2CCC[C@H]2C(=O)O 16847
CCOC(=O)[C@H](CCc1ccccc1)N[C@@H](C)C(=O)N2CCC[C@H]2C(=O)O.OC(=O)\C=C/C(=O)O 674610
CCOC(=O)[C@H](CCc1ccccc1)N[C@@H](C)C(=O)N2[C@H]3CCCC[C@@H]3C[C@H]2C(=O)O 421317
CCOC(=O)[C@H](CCc1ccccc1)N[C@@H](C)C(=O)N2[C@H]3CCC[C@H]3C[C@H]2C(=O)O 189203
CCOC(=O)[C@H](CCc1ccccc1)N[C@H]2CCc3ccccc3N(CC(=O)O)C2=O 61706
CCOC(=O)\C=C(/C)\C=C\C=C(/C)\C=C\c1c(C)cc(OC)c(C)c1C 4193
CCOc1cc(CC(=O)N[C@@H](CC(C)C)c2ccccc2N3CCCCC3)ccc1C(=O)O 248669
CCOc1cc(ccc1OC)[C@@H](CS(=O)(=O)C)N2C(=O)c3cccc(NC(=O)C)c3C2=O 458773
CCOc1ccc(Cc2cc(ccc2Cl)[C@@H]3O[C@H](CO)[C@@H](O)[C@H](O)[C@H]3O)cc1 441579
CCOc1ccc2ccccc2c1C(=O)N[C@H]3[C@H]4SC(C)(C)[C@@H](N4C3=O)C(=O)O 374064
CCOc1ccc2nc(sc2c1)S(=O)(=O)N 1096
CCOc1ccccc1OCCN[C@H](C)Cc2ccc(OC)c(c2)S(=O)(=O)N 61181
CCOc1nc2cccc(C(=O)OC(C)OC(=O)OC3CCCCC3)c2n1Cc4ccc(cc4)c5ccccc5c6nn[nH]n6 116349
CCOc1nc2cccc(C(=O)OCC3=C(C)OC(=O)O3)c2n1Cc4ccc(cc4)c5ccccc5C6=NOC(=O)N6 1340892
CCS(=O)(=O)CCn1c(C)ncc1[N+](=O)[O-] 222633
CCS(=O)(=O)O.COC(=O)c1ccc2\C(=C(\Nc3ccc(cc3)N(C)C(=O)CN4CCN(C)CC4)/c5ccccc5)\C(=O)Nc2c1 1592322
CCSc1ccc2Sc3ccccc3N(CCCN4CCN(C)CC4)c2c1 320810
CCSc1ccc2Sc3ccccc3N(CCCN4CCN(C)CC4)c2c1.OC(=O)\C=C/C(=O)O 674807
CC[C@@H](CO)NC(=O)[C@H]1CN(C)[C@@H]2Cc3cn(C)c4cccc(C2=C1)c34 138605
CC[C@@H](CO)NC(=O)[C@H]1CN(C)[C@@H]2Cc3cn(C)c4cccc(C2=C1)c34.OC(=O)\C=C/C(=O)O 674889
CC[C@@H](CO)NC(=O)[C@H]1CN(C)[C@@H]2Cc3c[nH]c4cccc(C2=C1)c34 675307
CC[C@@H](CO)NC(=O)[C@H]1CN(C)[C@@H]2Cc3c[nH]c4cccc(C2=C1)c34.OC(=O)\C=C/C(=O)O 674794
CC[C@@H](CO)NCCN[C@@H](CC)CO 67617
CC[C@@H]([C@H](C)O)N1N=CN(C1=O)c2ccc(cc2)N3CCN(CC3)c4ccc(OC[C@@H]5CO[C@](Cn6cncn6)(C5)c7ccc(F)cc7F)cc4 334337
CC[C@@]1(O)C(=O)OCC2=C1C=C3N(Cc4cc5c(CN(C)C)c(O)ccc5nc34)C2=O 7501
CC[C@H](C)C(=O)O[C@H]1C[C@@H](C)C=C2C=C[C@H](C)[C@H](CC[C@@H]3C[C@@H](O)CC(=O)O3)[C@@H]12 9495
CC[C@H](C)C(=O)O[C@H]1C[C@H](O)C=C2C=C[C@H](C)[C@H](CC[C@@H](O)C[C@@H](O)CC(=O)O)[C@@H]12 178796
CC[C@H](N1CCCC1=O)C(=O)N 252155
CC[C@H](Nc1ncnc2[nH]cnc12)C3=Nc4cccc(F)c4C(=O)N3c5ccccc5 1448219
CC[C@H](OC(=O)C)C(C[C@H](C)N(C)C)(c1ccccc1)c2ccccc2 421070
CC[C@H]([C@@H](C)CN(C)C)c1cccc(O)c1 675727
CC[C@H]1OC(=O)[C@H](C)C(=O)[C@H](C)[C@@H](O[C@@H]2O[C@H](C)C[C@@H]([C@H]2O)N(C)C)[C@@](C)(C[C@@H](C)C(=O)[C@H](C)[C@H]3N(CCCCn4cnc(c4)c5cccnc5)C(=O)O[C@]13C)OC 171587
CC[C@H]1OC(=O)[C@H](C)[C@@H](O[C@H]2C[C@@](C)(OC)[C@@H](O)[C@H](C)O2)[C@H](C)[C@@H](O[C@@H]3O[C@H](C)C[C@@H]([C@H]3O)N(C)C)[C@@](C)(C[C@@H](C)C(=O)[C@H](C)[C@@H](O)[C@]1(C)O)OC 570147
CC[C@H]1OC(=O)[C@H](C)[C@@H](O[C@H]2C[C@@](C)(OC)[C@@H](O)[C@H](C)O2)[C@H](C)[C@@H](O[C@@H]3O[C@H](C)C[C@@H]([C@H]3O)N(C)C)[C@](C)(O)C[C@@H](C)C(=O)[C@H](C)[C@@H](O)[C@]1(C)O 12506
CC[C@H]1OC(=O)[C@H](C)[C@@H](O[C@H]2C[C@@](C)(OC)[C@@H](O)[C@H](C)O2)[C@H](C)[C@@H](O[C@@H]3O[C@H](C)C[C@@H]([C@H]3O)N(C)C)[C@](C)(O)C[C@@H](C)CN(C)[C@H](C)[C@@H](O)[C@]1(C)O 12428
CC[C@H]1OC(=O)[C@H](C)[C@@H](O[C@H]2C[C@@](C)(OC)[C@@H](O)[C@H](C)O2)[C@H](C)[C@@H](O[C@@H]3O[C@H](C)C[C@@H]([C@H]3O)N(C)C)[C@](C)(O)C[C@@H](C)[C@@H]4N[C@@H](COCCOC)O[C@H]([C@H]4C)[C@]1(C)O 1592294
CC[C@H]1OC(=O)[C@H](C)[C@@H](O[C@H]2C[C@@](C)(OC)[C@@H](O)[C@H](C)O2)[C@H](C)[C@@H](O[C@@H]3O[C@H](C)C[C@@H]([C@H]3OC(=O)CC)N(C)C)[C@](C)(O)C[C@@H](C)C(=O)[C@H](C)[C@@H](O)[C@]1(C)O 1450238
CC[C@H]1[C@@H](Cc2cncn2C)COC1=O 14406
CC[C@H]1[C@@H](O)[C@H]2[C@@H]3CC[C@H]([C@H](C)CCC(=O)O)[C@@]3(C)CC[C@@H]2[C@@]4(C)CC[C@@H](O)C[C@@H]14 574221
CC[C@H]1\C=C(/C)\[C@@H](O)C\C=C\C=C(/CO[C@@H]2O[C@H](C)[C@@H](OC(=O)c3c(O)c(Cl)c(O)c(Cl)c3CC)[C@H](O)[C@@H]2OC)\C(=O)O[C@@H](C\C=C(/C)\C=C(/C)\[C@@H]1O[C@@H]4OC(C)(C)[C@@H](OC(=O)C(C)C)[C@H](O)[C@@H]4O)[C@@H](C)O 704780
CC[C@]1(O)CC[C@H]2[C@@H]3CCC4=CCCC[C@@H]4[C@H]3CC[C@]12C 674574
CC[C@]12CC(=C)[C@H]3[C@@H](CCC4=CCCC[C@H]34)[C@@H]1CC[C@@]2(O)C#C 429174
CC[C@]12CC[C@H]3[C@@H](CCC4=CC(=O)CC[C@H]34)[C@@H]1CCC2(O)C#C 1380067
CC[C@]12CC[C@H]3[C@@H](CCC4=CC(=O)CC[C@H]34)[C@@H]1CC[C@@]2(O)C#C 328164
CC[C@]12CC[C@H]3[C@@H](CCC4=C\C(=N\O)\CC[C@H]34)[C@@H]1CC[C@@]2(OC(=O)C)C#C 674885
CC[N+](C)(CC)CCOC(=O)C(O)(C1CCCCC1)c2ccccc2 675237
CC[N+](C)(CC)CCOC(=O)C1c2ccccc2Oc3ccccc13 675215
CC[N+](CC)(CC)CCC(O)(C1CCCCC1)c2ccccc2 675305
CC[N+](CC)(CCNC(=O)C(=O)NCC[N+](CC)(CC)Cc1ccccc1Cl)Cc2ccccc2Cl 490064
CC\C(=C(/c1ccccc1)\c2ccc(OCCN(C)C)cc2)\c3ccccc3 6968
CC\C(=C(/c1ccccc1)\c2ccc(OCCN(C)C)cc2)\c3ccccc3.OC(=O)CC(O)(CC(=O)O)C(=O)O 47340
CC\C(=C(\CC)/c1ccc(O)cc1)\c2ccc(O)cc2 860
CC\C(=C(\CC)/c1ccc(OP(=O)(O)O)cc1)\c2ccc(OP(=O)(O)O)cc2 674549
Cl.C1CN2C[C@@H](N=C2S1)c3ccccc3 596044
Cl.CC(=O)Oc1cc2CN(CCc2s1)C(C(=O)C3CC3)c4ccccc4F 675724
Cl.CC(C)(C(=O)O)c1ccc(cc1)C(O)CCCN2CCC(CC2)C(O)(c3ccccc3)c4ccccc4 674569
Cl.CC(C)(C)c1ccc(CN2CCN(CC2)C(c3ccccc3)c4ccc(Cl)cc4)cc1 674354
Cl.CC(C)(C)NCC(O)COc1cccc2NC(=O)CCc12 674953
Cl.CC(C)(N)Cc1ccc(Cl)cc1 674546
Cl.CC(C)(N)Cc1ccccc1 674863
Cl.CC(C)CC(N(C)C)C1(CCC1)c2ccc(Cl)cc2 674716
Cl.CC(C)NC(=N)NC(=N)Nc1ccc(Cl)cc1 675010
Cl.CC(C)NCC(O)c1ccc(NS(=O)(=O)C)cc1 546564
Cl.CC(C)NCC(O)COc1ccc(CCOCC2CC2)cc1 543228
Cl.CC(C)NCC(O)COc1cccc2ccccc12 505776
Cl.CC(C)NCC(O)COc1ccccc1OCC=C 674696
Cl.CC(C)NCCCC1(C(=O)N)c2ccccc2c3ccccc13 674292
Cl.CC(C)[C@H](N)C(=O)OCC(CO)OCn1cnc2C(=O)N=C(N)Nc12 674405
Cl.CC(C)[C@H](N)C(=O)OCCOCn1cnc2C(=O)N=C(N)Nc12 675061
Cl.CC(Cc1ccc2OCOc2c1)NCC(O)c3ccc(O)c(O)c3 674844
Cl.CC(CCc1ccccc1)NCC(O)c2ccc(O)c(c2)C(=O)N 674274
Cl.CC(CN1c2ccccc2Sc3ccccc13)N(C)C 674701
Cl.CC(COc1ccccc1)N(CCCl)Cc2ccccc2 674738
Cl.CC(N)C(=O)Nc1c(C)cccc1C 674724
Cl.CC(N)C(O)c1ccccc1 674646
Cl.CC(N)C12CC3CC(CC(C3)C1)C2 549674
Cl.CC(N)COc1c(C)cccc1C 674557
Cl.CC(NC(C)(C)C)C(=O)c1cccc(Cl)c1 545956
Cl.CC12CC3CC(C)(C1)CC(N)(C3)C2 545974
Cl.CC1=C(Oc2c(cccc2C1=O)C(=O)OCCN3CCCCC3)c4ccccc4 674826
Cl.Cc1cc(\C=C\C#N)cc(C)c1Nc2ccnc(Nc3ccc(cc3)C#N)n2 1051355
Cl.Cc1ccc(cc1)\C(=C/CN2CCCC2)\c3ccccn3 674401
Cl.Cc1ccsc1C(=CCCN2CCC[C@H](C2)C(=O)O)c3sccc3C 544765
Cl.CC1CN(CCN1)c2cc3N(C=C(C(=O)O)C(=O)c3c(C)c2F)C4CC4 674344
Cl.Cc1ncc2CN=C(c3ccccc3F)c4cc(Cl)ccc4n12 674371
Cl.Cc1nccn1CC2CCc3c(C2=O)c4ccccc4n3C 675062
Cl.CC1NCCOC1c2ccccc2 674434
Cl.Cc1[nH]cnc1CN2CCc3c(C2=O)c4ccccc4n3C 674836
Cl.CCC(=O)C(CC(C)N(C)C)(c1ccccc1)c2ccccc2 674776
Cl.CCC(=O)O[C@@](Cc1ccccc1)([C@H](C)CN(C)C)c2ccccc2 699455
Cl.CCC1=NN(CCCN2CCN(CC2)c3cccc(Cl)c3)C(=O)N1CCOc4ccccc4 674443
Cl.CCc1c(C)[nH]c2CCC(CN3CCOCC3)C(=O)c12 674370
Cl.CCc1cc2C(=O)c3c([nH]c4cc(ccc34)C#N)C(C)(C)c2cc1N5CCC(CC5)N6CCOCC6 2039291
Cl.CCc1ccc(CCOc2ccc(CC3SC(=O)NC3=O)cc2)nc1 550857
Cl.CCCC(=O)Nc1ccc(OCC(O)CNC(C)C)c(c1)C(=O)C 674764
Cl.CCCc1nc(C)c2c(O)nc(nn12)c3cc(ccc3OCC)S(=O)(=O)N4CCN(CC)CC4 283529
Cl.CCCCc1oc2ccccc2c1C(=O)c3cc(I)c(OCCN(CC)CC)c(I)c3 630439
Cl.CCCCCCCCc1ccc(CCC(N)(CO)CO)cc1 543306
Cl.CCCCCCCCCCCCCCCC(=O)O[C@@H]1[C@@H](O)[C@@H](O)[C@@H](O[C@@H]1SC)C(NC(=O)[C@@H]2C[C@@H](CCC)CN2C)[C@H](C)Cl 699437
Cl.CCCCN(CCCC)CCC(O)c1cc2c(Cl)cc(Cl)cc2c3cc(ccc13)C(F)(F)F 674852
Cl.CCCCN(CCCC)CCCOc1ccc(cc1)C(=O)c2c(CCCC)oc3ccc(NS(=O)(=O)C)cc23 675680
Cl.CCCN(CCC)CCc1cccc2NC(=O)Cc12 674362
Cl.CCCNCC(O)COc1ccccc1C(=O)CCc2ccccc2 675014
Cl.CCCN[C@H]1CCc2nc(N)sc2C1 547836
Cl.CCC[C@@H]1C[C@H](N(C)C1)C(=O)N[C@H]([C@@H](C)O)[C@H]2O[C@H](SC)[C@H](O)[C@@H](O)[C@H]2O 675048
Cl.CCC[C@@H]1C[C@H](N(C)C1)C(=O)N[C@H]([C@H](C)Cl)[C@H]2O[C@H](SC)[C@H](O)[C@@H](O)[C@H]2O 674539
Cl.CCN(CC)C(=O)[C@]1(C[C@H]1CN)c2ccccc2 1378002
Cl.CCN(CC)C(C)C(=O)c1ccccc1 543703
Cl.CCN(CC)C(C)CN1c2ccccc2Sc3ccccc13 674921
Cl.CCN(CC)CC#CCOC(=O)C(O)(C1CCCCC1)c2ccccc2 170395
Cl.CCN(CC)Cc1cc(Nc2ccnc3cc(Cl)ccc23)ccc1O 476314
Cl.CCN(CC)CCN1C(=O)CN=C(c2ccccc2F)c3cc(Cl)ccc13 674553
Cl.CCN(CC)CCNC(=O)c1ccc(N)cc1 21845
Cl.CCN(CC)CCOC(=O)C1(CCCCC1)C2CCCCC2 674430
Cl.CCN1C=C(C(=O)O)C(=O)c2cc(F)c(N3CCNC(C)C3)c(F)c12 557467
Cl.CCOC(=O)C1(CCN(C)CC1)c2ccccc2 547402
Cl.CCOC(=O)C1(CCN(CCC(C#N)(c2ccccc2)c3ccccc3)CC1)c4ccccc4 674616
Cl.CCOC(=O)C1(CCN(CCc2ccc(N)cc2)CC1)c3ccccc3 674998
Cl.CCOC(=O)Nc1ccc2Sc3ccccc3N(C(=O)CCN4CCOCC4)c2c1 674285
Cl.CCOC(=O)OC(C)OC(=O)[C@@H]1N2[C@H](SC1(C)C)[C@H](NC(=O)[C@H](N)c3ccccc3)C2=O 674916
Cl.CCOC(=O)[C@H](CCc1ccccc1)N[C@@H](C)C(=O)N2CC3(C[C@H]2C(=O)O)SCCS3 674782
Cl.CCOC(=O)[C@H](CCc1ccccc1)N[C@@H](C)C(=O)N2Cc3cc(OC)c(OC)cc3C[C@H]2C(=O)O 674485
Cl.CCOC(=O)[C@H](CCc1ccccc1)N[C@@H](C)C(=O)N2Cc3ccccc3C[C@H]2C(=O)O 674962
Cl.CCOC(=O)[C@H](CCc1ccccc1)N[C@H]2CCc3ccccc3N(CC(=O)O)C2=O 544432
Cl.CCOc1ccccc1OCCN[C@H](C)Cc2ccc(OC)c(c2)S(=O)(=O)N 674865
Cl.CC[C@@H](CO)NCCN[C@@H](CC)CO 1051131
Cl.CC[C@@]1(O)C(=O)OCC2=C1C=C3N(Cc4cc5c(CN(C)C)c(O)ccc5nc34)C2=O 456266
Cl.CC[C@H](OC(=O)C)C(C[C@H](C)N(C)C)(c1ccccc1)c2ccccc2 674768
Cl.CC[C@H]([C@@H](C)CN(C)C)c1cccc(O)c1 675728
Cl.CC[C@H]1[C@@H](Cc2cncn2C)COC1=O 674281
Cl.Cl.CCN(CC)C(=O)C1(CC1CN)c2ccccc2 1369635
Cl.Cl.COC(=O)N[C@@H](C(C)C)C(=O)N1CCC[C@H]1c2ncc([nH]2)c3ccc(cc3)c4ccc(cc4)c5cnc([nH]5)[C@@H]6CCCN6C(=O)[C@@H](NC(=O)OC)C(C)C 1503092
Cl.Cl.COCC(=O)O[C@]1(CCN(C)CCCc2nc3ccccc3[nH]2)CCc4cc(F)ccc4[C@@H]1C(C)C 958409
Cl.Cl.C[C@H](O)[C@H](O)[C@H]1CNC2=C(N1)C(=O)N=C(N)N2 675726
Cl.Cl.OC(=O)COCCN1CCN(CC1)[C@H](c2ccccc2)c3ccc(Cl)cc3 675141
Cl.ClC1=C(CN2CCCC2=N)NC(=O)NC1=O 102584
Cl.Clc1cc2NC(=O)Cc2cc1CCN3CCN(CC3)c4nsc5ccccc45 550155
Cl.Clc1ccc2N=C3NC(=O)CN3Cc2c1Cl 674710
Cl.Clc1ccc2nsnc2c1NC3=NCCN3 674280
Cl.Clc1cccc(c1)N2CCN(CCCN3N=C4C=CC=CN4C3=O)CC2 674749
Cl.Clc1cccc(Cl)c1NC2=NCCN2 548124
Cl.Clc1ccccc1CN2CCc3sccc3C2 551003
Cl.CN(C)C(=N)N=C(N)N 547681
Cl.CN(C)C(=O)C(CCN1CCC(O)(CC1)c2ccc(Cl)cc2)(c3ccccc3)c4ccccc4 548913
Cl.CN(C)C(=O)N[C@@H]1CC[C@@H](CCN2CCN(CC2)c3cccc(Cl)c3Cl)CC1 1339907
Cl.CN(C)CCC(O)(c1ccccc1)c2ccccc2Cl 674923
Cl.CN(C)CCC=C1c2ccccc2C=Cc3ccccc13 674587
Cl.CN(C)CCC=C1c2ccccc2CCc3ccccc13 674915
Cl.CN(C)CCC=C1c2ccccc2COc3ccccc13 1051125
Cl.CN(C)CCCN1c2ccccc2CCc3ccc(Cl)cc13 674661
Cl.CN(C)CCCN1c2ccccc2CCc3ccccc13 543658
Cl.CN(C)CCCN1c2ccccc2Sc3ccc(cc13)C(F)(F)F 675053
Cl.CN(C)CCCN1c2ccccc2Sc3ccc(Cl)cc13 550303
Cl.CN(C)CCCN1c2ccccc2Sc3ccccc13 674420
Cl.CN(C)CCN(Cc1ccccc1)c2ccccn2 674397
Cl.CN(C)CCOC(c1ccccc1)c2ccc(Br)cc2 674918
Cl.CN(C)CCOC(c1ccccc1)c2ccccc2 468199
Cl.CN(C)CCOC(c1ccccc1)c2ccccc2C 674974
Cl.CN(C)S(=O)(=O)c1ccc2Sc3ccccc3\C(=C\CCN4CCN(C)CC4)\c2c1 674853
Cl.CN(C)[C@H]1[C@@H]2C[C@@H]3Cc4c(ccc(O)c4C(=O)C3=C(O)[C@]2(O)C(=O)C(=C1O)C(=O)N)N(C)C 674832
Cl.CN(C)[C@H]1[C@@H]2C[C@@H]3[C@H](O)c4c(Cl)ccc(O)c4C(=O)C3=C(O)[C@]2(O)C(=O)C(=C1O)C(=O)N 674425
Cl.CN(C)[C@H]1[C@@H]2C[C@H]3C(=C(O)[C@]2(O)C(=O)C(=C1O)C(=O)N)C(=O)c4c(O)cccc4[C@@]3(C)O 455284
Cl.CN(C)[C@H]1[C@@H]2[C@@H](O)[C@@H]3C(=C)c4cccc(O)c4C(=O)C3=C(O)[C@]2(O)C(=O)C(=C1O)C(=O)N 1418074
Cl.CN(C)[C@H]1[C@@H]2[C@@H](O)[C@H]3C(=C(O)[C@]2(O)C(=O)C(=C1O)C(=O)N)C(=O)c4c(O)cccc4[C@@]3(C)O 1031364
Cl.CN(c1ccc2c(C)n(C)nc2c1)c3ccnc(Nc4ccc(C)c(c4)S(=O)(=O)N)n3 675684
Cl.CN(CC#C)Cc1ccccc1 674376
Cl.CN(C\C=C\C#CC(C)(C)C)Cc1cccc2ccccc12 674783
Cl.CN1C2CCCC1CC(C2)NC(=O)c3nn(C)c4ccccc34 699431
Cl.CN1CCC(=C2c3ccccc3C=Cc4ccccc24)CC1 550917
Cl.CN1CCC(CC1)OC(c2ccccc2)c3ccccc3 447448
Cl.CN1CCC(CN2c3ccccc3Sc4ccccc24)C1 674483
Cl.CN1CCCN=C1COC(=O)C(O)(C2CCCCC2)c3ccccc3 674842
Cl.CN1CCN(CC1)C2=Nc3ccccc3Oc4ccc(Cl)cc24 675011
Cl.CN1CCN(Cc2ccc(NC(=O)c3ccc(C)c(c3)C#Cc4cnc5cccnn45)cc2C(F)(F)F)CC1 1377978
Cl.CN1CCN(CCCN2c3ccccc3Sc4ccc(cc24)C(F)(F)F)CC1 549698
Cl.CN1CC[C@@]23[C@H]4CCC(=O)[C@@H]2Oc5c(O)ccc(C[C@@H]14)c35 699406
Cl.CN1CC[C@]23[C@H]4Oc5c(O)ccc(C[C@@H]1[C@]2(O)CCC4=O)c35 674745
Cl.CNC(=C[N+](=O)[O-])NCCSCc1oc(CN(C)C)cc1 1382812
Cl.CNC1(C)C2CCC(C2)C1(C)C 699433
Cl.CNC1=Nc2ccc(Cl)cc2C(=[N+]([O-])C1)c3ccccc3 674654
Cl.CNCCC(Oc1ccc(cc1)C(F)(F)F)c2ccccc2 675033
Cl.CNCCC=C1c2ccccc2CCc3ccccc13 675107
Cl.CNCCCC12CCC(c3ccccc13)c4ccccc24 699486
Cl.CNCCCC1c2ccccc2C=Cc3ccccc13 674283
Cl.CNCCCN1c2ccccc2CCc3ccccc13 545075
Cl.CNCC[C@@H](Oc1ccccc1C)c2ccccc2 547576
Cl.CNCC[C@H](Oc1cccc2ccccc12)c3cccs3 674279
Cl.CNC[C@H](O)c1cccc(O)c1 674290
Cl.CNNCc1ccc(cc1)C(=O)NC(C)C 674361
Cl.CNS(=O)(=O)CCc1ccc2[nH]cc(C3CCN(C)CC3)c2c1 674552
Cl.CN[C@@H](C)Cc1ccccc1 674903
Cl.CN[C@@H](C)[C@@H](O)c1ccccc1 674675
Cl.CN[C@H](CC(C)C)C(=O)N[C@@H]1[C@H](O)c2ccc(Oc3cc4cc(Oc5ccc(cc5Cl)[C@@H](O)[C@@H]6NC(=O)[C@H](NC(=O)[C@@H]4NC(=O)[C@H](CC(=O)N)NC1=O)c7ccc(O)c(c7)c8c(O)cc(O)cc8[C@H](NC6=O)C(=O)O)c3O[C@@H]9O[C@H](CO)[C@@H](O)[C@H](O)[C@H]9O[C@H]%10C[C@](C)(N)[C@H](O)[C@H](C)O%10)c(Cl)c2 674579
Cl.CN[C@H]1CC[C@@H](c2ccc(Cl)c(Cl)c2)c3ccccc13 549372
Cl.CN\C(=N/CCSCc1nc[nH]c1C)\NC#N 675002
Cl.COC(=O)C(C1CCCCN1)c2ccccc2 552883
Cl.COC(=O)C1=C(C)NC(=C(C1c2cccc(c2)[N+](=O)[O-])C(=O)OCCN(C)Cc3ccccc3)C 674277
Cl.COC(=O)[C@@H]([C@H]1CCCCN1)c2ccccc2 78902
Cl.COc1c(N2C[C@@H]3CCCN[C@@H]3C2)c(F)cc4C(=O)C(=CN(C5CC5)c14)C(=O)O 674686
Cl.COc1cc(cc(OC)c1OC)C(=O)NCc2ccc(OCCN(C)C)cc2 674838
Cl.COc1cc(Cc2cnc(N)nc2N)cc(OC)c1OC 675031
Cl.COc1cc2CC(CC3CCN(Cc4ccccc4)CC3)C(=O)c2cc1OC 508667
Cl.COc1cc2CCN(CCCN(C)C[C@H]3Cc4cc(OC)c(OC)cc34)C(=O)Cc2cc1OC 1417028
Cl.COc1cc2nc(nc(N)c2cc1OC)N(C)CCCNC(=O)C3CCCO3 553490
Cl.COc1cc2nc(nc(N)c2cc1OC)N3CCN(CC3)C(=O)c4occc4 444191
Cl.COc1ccc(cc1)C(CN(C)C)C2(O)CCCCC2 675017
Cl.COc1ccc(cc1)[C@@H]2Sc3ccccc3N(CCN(C)C)C(=O)[C@@H]2OC(=O)C 545509
Cl.COc1ccc(CCN(C)CCCC(C#N)(C(C)C)c2ccc(OC)c(OC)c2)cc1OC 250508
Cl.COc1ccc(OC)c(c1)C(O)CNC(=O)CN 674412
Cl.COc1ccc2C[C@H]3N(C)CC[C@@]45[C@@H](Oc1c24)C(=O)CC[C@@]35O 674841
Cl.COc1cccc(c1)C2(O)CCCCC2CN(C)C 699416
Cl.COCCOc1cc2ncnc(Nc3cccc(c3)C#C)c2cc1OCCOC 611647
Cl.CSc1ccc2Sc3ccccc3N(CCC4CCCCN4C)c2c1 674867
Cl.C[C@@H](Cc1ccccc1)N(C)Cc2ccccc2 1926755
Cl.C[C@@H](NCCCc1cccc(c1)C(F)(F)F)c2cccc3ccccc23 674727
Cl.C[C@H](Cc1ccccc1)N(C)CC#C 674855
Cl.C[C@H](NCCc1ccc(O)cc1)[C@H](O)c2ccc(O)cc2 675111
Cl.C[C@H]1CNCCc2ccc(Cl)cc12 1369607
Cl.C[C@H]1[C@H]2Cc3ccc(O)cc3[C@]1(C)CCN2CC=C(C)C 674300
Cl.Fc1ccc(cc1)[C@@H]2CCNC[C@H]2COc3ccc4OCOc4c3 549367
Cl.NC(=N)N 674679
Cl.NC(=N)NC(=O)Cc1c(Cl)cccc1Cl 674445
Cl.NC(=O)c1oc2ccc(cc2c1)N3CCN(CCCCc4c[nH]c5ccc(cc45)C#N)CC3 1038357
Cl.NC12CC3CC(CC(C3)C1)C2 452635
Cl.Nc1c2CCCCc2nc3ccccc13 508604
Cl.Nc1ccc(N=Nc2ccccc2)c(N)n1 674973
Cl.NCCNCCNCCN 674734
Cl.NNc1nncc2ccccc12 543263
Cl.N[C@H](C(=O)N1[C@@H](C[C@@H]2C[C@H]12)C#N)C34CC5CC(CC(O)(C5)C3)C4 675694
Cl.O=C1CC2(CCCC2)CC(=O)N1CCCCN3CCN(CC3)c4ncccn4 674350
Cl.O=C1N(C[C@H]2CCCc3cccc1c23)[C@@H]4CN5CCC4CC5 551486
Cl.O=C1[C@@H]2[C@H]3CC[C@H](C3)[C@@H]2C(=O)N1C[C@@H]4CCCC[C@H]4CN5CCN(CC5)c6nsc7ccccc67 1038355
Cl.OC(=O)C1(CCN(CCC(C#N)(c2ccccc2)c3ccccc3)CC1)c4ccccc4 674550
Cl.OC(=O)C1=CN(C2CC2)c3cc(N4CCNCC4)c(F)cc3C1=O 210388
Cl.OC(=O)COCCN1CCN(CC1)C(c2ccccc2)c3ccc(Cl)cc3 675064
Cl.OC(C1CCCCN1)c2cc(nc3c(cccc23)C(F)(F)F)C(F)(F)F 543171
Cl.OC(CCCN1CCCCC1)(c2ccccc2)c3ccccc3 426067
Cl.OC(CCN1CCCC1)(C2CCCCC2)c3ccccc3 583519
Cl.OC(CCN1CCCCC1)(C2CC3CC2C=C3)c4ccccc4 674986
Cl.OC(CCN1CCCCC1)(C2CCCC2)c3ccccc3 674779
Cl.OC(CCN1CCCCC1)(C2CCCCC2)c3ccccc3 150389
Cl.OC(CNCC(O)C1CCc2cc(F)ccc2O1)C3CCc4cc(F)ccc4O3 675682
Cl.Oc1ccc(cc1)c2sc3cc(O)ccc3c2C(=O)c4ccc(OCCN5CCCCC5)cc4 158276
Cl.Oc1ccc2C[C@H]3N(CC4CC4)CC[C@@]56[C@@H](Oc1c25)C(=O)CC[C@@]36O 675100
Cl.Oc1ccc2C[C@H]3N(CC=C)CC[C@@]45[C@@H](Oc1c24)C(=O)CC[C@@]35O 551147
Cl.OCCN1CCN(CCCN2c3ccccc3Sc4ccc(cc24)C(F)(F)F)CC1 674743
Cl.OCCOCCN1CCN(CC1)C(c2ccccc2)c3ccc(Cl)cc3 674958
ClC(Cl)C(c1ccc(Cl)cc1)c2ccccc2Cl 504310
ClC1=C(CN2CCCC2=N)NC(=O)NC1=O 399292
Clc1cc2NC(=O)Cc2cc1CCN3CCN(CC3)c4nsc5ccccc45 33664
Clc1ccc(s1)C(=O)NC[C@H]2CN(C(=O)O2)c3ccc(cc3)N4CCOCC4=O 328601
Clc1ccc2C(=C3CCNCC3)c4ncccc4CCc2c1 191342
Clc1ccc2c(c1)C(=NCc3nncn23)c4ccccc4 49847
Clc1ccc2N(CC3CC3)C(=O)CN=C(c4ccccc4)c2c1 95969
Clc1ccc2N=C3NC(=O)CN3Cc2c1Cl 42290
Clc1ccc2nsnc2c1NC3=NCCN3 140117
Clc1ccc2OC(=O)Nc2c1 315123
Clc1ccc2Oc3ccccc3N=C(N4CCNCC4)c2c1 155045
Clc1cccc(c1)N2CCN(CCCN3N=C4C=CC=CN4C3=O)CC2 26401
Clc1cccc(Cl)c1NC2=NCCN2 27609
Clc1cccc(N2CCN(CCCCOc3ccc4CCC(=O)Nc4c3)CC2)c1Cl 155006
Clc1ccccc1C(c2ccccc2)(c3ccccc3)n4ccnc4 13494
Clc1ccccc1CN2CCc3sccc3C2 60319
ClCCN(CCCl)C1=CNC(=O)NC1=O 418344
ClCCN(CCCl)P1(=O)NCCCO1 8417
ClCCN(N=O)C(=O)NC1CCCCC1 10898
CN(C(=O)C(C)(C)c1cc(cc(c1)C(F)(F)F)C(F)(F)F)c2cnc(cc2c3ccccc3C)N4CCN(C)CC4 341603
CN(C)C(=N)NC(=N)N 369464
CN(C)C(=O)C(CCN1CCC(O)(CC1)c2ccc(Cl)cc2)(c3ccccc3)c4ccccc4 62259
CN(C)C(=O)Cc1c(nc2ccc(C)cn12)c3ccc(C)cc3 80965
CN(C)C(=O)Cc1c(nc2ccc(C)cn12)c3ccc(C)cc3.OC(C(O)C(=O)O)C(=O)O 1104074
CN(C)C(=O)N[C@@H]1CC[C@@H](CCN2CCN(CC2)c3cccc(Cl)c3Cl)CC1 1340277
CN(C)C(=O)Oc1ccc[n+](C)c1 157330
CN(C)C(=O)[C@H]1CC[C@H](NC(=O)C(=O)Nc2ccc(Cl)cn2)[C@@H](C1)NC(=O)c3nc4CCN(C)Cc4s3 709600
CN(C)C(=O)[C@H]1CC[C@H](NC(=O)C(=O)Nc2ccc(Cl)cn2)[C@@H](C1)NC(=O)c3nc4CCN(C)Cc4s3.Cc5ccc(cc5)S(=O)(=O)O 1377952
CN(C)c1ccc(cc1)[C@H]2C[C@@]3(C)[C@@H](CC[C@]3(OC(=O)C)C(=O)C)[C@@H]4CCC5=CC(=O)CCC5=C24 431376
CN(C)c1ccc2c(ccc(\C=C\c3cc(C)n(c3C)c4ccccc4)[n+]2C)c1 675254
CN(C)c1ccc2c(ccc(\C=C\c3cc(C)n(c3C)c4ccccc4)[n+]2C)c1.CN(C)c5ccc6c(ccc(\C=C\c7cc(C)n(c7C)c8ccccc8)[n+]6C)c5.Oc9c(Cc%10c(O)c(cc%11ccccc%10%11)C(=O)[O-])c%12ccccc%12cc9C(=O)[O-] 1248748
CN(C)c1nc(nc(n1)N(C)C)N(C)C 386327
CN(C)CC(c1ccc(O)cc1)C2(O)CCCCC2 161281
CN(C)CC(c1ccc(O)cc1)C2(O)CCCCC2.OC(=O)CCC(=O)O 675679
CN(C)CC(c1ccc(O)cc1)C2(O)CCCCC2.OC(=O)\C=C\C(=O)O 1592383
CN(C)CCC(c1ccc(Br)cc1)c2ccccn2 54051
CN(C)CCC(c1ccc(Br)cc1)c2ccccn2.OC(=O)\C=C/C(=O)O 674912
CN(C)CCC(c1ccc(Cl)cc1)c2ccccn2 10358
CN(C)CCC(c1ccc(Cl)cc1)c2ccccn2.OC(=O)\C=C/C(=O)O 496910
CN(C)CCC(O)(c1ccccc1)c2ccccc2Cl 675264
CN(C)CCc1c[nH]c2ccc(Cn3cncn3)cc12 79047
CN(C)CCc1c[nH]c2ccc(Cn3cncn3)cc12.OC(=O)c4ccccc4 674983
CN(C)CCc1c[nH]c2ccc(CS(=O)(=O)N3CCCC3)cc12 420985
CN(C)CCc1c[nH]c2ccc(CS(=O)(=O)N3CCCC3)cc12.OC(CC(=O)O)C(=O)O 674472
CN(C)CCc1c[nH]c2ccc(C[C@H]3COC(=O)N3)cc12 196215
CN(C)CCC=C1c2ccccc2C=Cc3ccccc13 28119
CN(C)CCC=C1c2ccccc2CCc3ccccc13 27072
CN(C)CCC=C1c2ccccc2COc3ccccc13 1051118
CN(C)CCCC1(OCc2cc(ccc12)C#N)c3ccc(F)cc3 14367
CN(C)CCCN1c2ccccc2CCc3ccc(Cl)cc13 996
CN(C)CCCN1c2ccccc2CCc3ccccc13 605
CN(C)CCCN1c2ccccc2CCc3ccccc13.OC(=O)c4cc5ccccc5c(Cc6c(O)c(cc7ccccc67)C(=O)O)c4O 674582
CN(C)CCCN1c2ccccc2Sc3ccc(cc13)C(F)(F)F 16584
CN(C)CCCN1c2ccccc2Sc3ccc(Cl)cc13 6216
CN(C)CCCN1c2ccccc2Sc3ccccc13 16391
CN(C)CCC[C@]1(OCc2cc(ccc12)C#N)c3ccc(F)cc3 421007
CN(C)CCC[C@]1(OCc2cc(ccc12)C#N)c3ccc(F)cc3.OC(=O)C(=O)O 674273
CN(C)CCN(Cc1ccccc1)c2ccccn2 231013
CN(C)CCN(Cc1ccccc1)c2ccccn2.OC(=O)CC(O)(CC(=O)O)C(=O)O 674720
CN(C)CCOC(C)(c1ccccc1)c2ccccn2 111498
CN(C)CCOC(C)(c1ccccc1)c2ccccn2.OC(=O)CCC(=O)O 674343
CN(C)CCOC(c1ccc(Cl)cc1)c2ccccn2 66273
CN(C)CCOC(c1ccc(Cl)cc1)c2ccccn2.OC(=O)\C=C/C(=O)O 674925
CN(C)CCOC(c1ccccc1)c2ccc(Br)cc2 675196
CN(C)CCOC(c1ccccc1)c2ccccc2 27629
CN(C)CCOC(c1ccccc1)c2ccccc2.CN3C(=O)N(C)c4nc(Cl)[nH]c4C3=O 674357
CN(C)CCOC(c1ccccc1)c2ccccc2.OC(=O)CC(O)(CC(=O)O)C(=O)O 675040
CN(C)CCOC(c1ccccc1)c2ccccc2C 77779
CN(C)CCOC(c1ccccc1)c2ccccc2C.OC(=O)CC(O)(CC(=O)O)C(=O)O 674346
CN(C)CCOc1ccc(cc1)\C(=C(\CCCl)/c2ccccc2)\c3ccccc3 495109
CN(C)CCOc1ccc(cc1)\C(=C(\CCCl)/c2ccccc2)\c3ccccc3.OC(=O)CC(O)(CC(=O)O)C(=O)O 674626
CN(C)CC[C@@H](c1ccc(Br)cc1)c2ccccn2 675238
CN(C)CC[C@@H](c1ccc(Br)cc1)c2ccccn2.OC(=O)\C=C/C(=O)O 674589
CN(C)CC[C@@H](c1ccc(Cl)cc1)c2ccccn2 675304
CN(C)CC[C@@H](c1ccc(Cl)cc1)c2ccccn2.OC(=O)\C=C/C(=O)O 674878
CN(C)CC\C=C/1\c2ccccc2Sc3ccc(Cl)cc13 80209
CN(C)C\C=C\C(=O)Nc1cc2c(Nc3ccc(F)c(Cl)c3)ncnc2cc1O[C@H]4CCOC4 650126
CN(C)C\C=C\C(=O)Nc1cc2c(Nc3ccc(F)c(Cl)c3)ncnc2cc1O[C@H]4CCOC4.OC(=O)\C=C/C(=O)O.OC(=O)\C=C/C(=O)O 1377982
CN(C)S(=O)(=O)c1ccc2Sc3ccccc3\C(=C\CCN4CCN(C)CC4)\c2c1 209829
CN(C)[C@H]1[C@@H]2C[C@@H]3Cc4c(ccc(O)c4C(=O)C3=C(O)[C@]2(O)C(=O)C(=C1O)C(=O)N)N(C)C 371561
CN(C)[C@H]1[C@@H]2C[C@@H]3[C@H](O)c4c(Cl)ccc(O)c4C(=O)C3=C(O)[C@]2(O)C(=O)C(=C1O)C(=O)N 454084
CN(C)[C@H]1[C@@H]2C[C@H]3C(=C(O)[C@]2(O)C(=O)C(=C1O)C(=O)N)C(=O)c4c(O)cccc4[C@@]3(C)O 373985
CN(C)[C@H]1[C@@H]2C[C@H]3C(=C(O)[C@]2(O)C(=O)C(=C1O)C(=O)N)C(=O)c4c(O)cccc4[C@@]3(C)O.OP(=O)(O)O 675022
CN(C)[C@H]1[C@@H]2[C@@H](O)[C@@H]3C(=C)c4cccc(O)c4C(=O)C3=C(O)[C@]2(O)C(=O)C(=C1O)C(=O)N 421082
CN(C)[C@H]1[C@@H]2[C@@H](O)[C@H]3C(=C(O)[C@]2(O)C(=O)C(=C1O)C(=O)N)C(=O)c4c(O)cccc4[C@@]3(C)O 421157
CN(C)\C=N\c1c(I)cc(I)c(CCC(=O)O)c1I 675194
CN(c1ccc2c(C)n(C)nc2c1)c3ccnc(Nc4ccc(C)c(c4)S(=O)(=O)N)n3 489525
CN(CC#C)Cc1ccccc1 28477
CN(Cc1cnc2nc(N)nc(N)c2n1)c3ccc(cc3)C(=O)N[C@@H](CCC(=O)O)C(=O)O 49931
CN(CCOc1ccc(CC2SC(=O)NC2=O)cc1)c3ccccn3 20027
CN(CCOc1ccc(CC2SC(=O)NC2=O)cc1)c3ccccn3.OC(=O)\C=C/C(=O)O 62701
CN(CCOc1ccc(NS(=O)(=O)C)cc1)CCc2ccc(NS(=O)(=O)C)cc2 5638
CN(C\C=C\C#CC(C)(C)C)Cc1cccc2ccccc12 56831
CN1C(=C(O)c2ccccc2S1(=O)=O)C(=O)Nc3ccccn3 11968
CN1C(=C(O)c2ccccc2S1(=O)=O)C(=O)Nc3ncc(C)s3 20496
CN1C(=O)C(=C(N=C1C(C)(C)NC(=O)c2oc(C)nn2)C(=O)NCc3ccc(F)cc3)O 422253
CN1C(=O)C(=C2N(C(=O)N(C3CC3)C(=O)C2=C1Nc4ccc(I)cc4F)c5cccc(NC(=O)C)c5)C 1376145
CN1C(=O)C(=C2N(C(=O)N(C3CC3)C(=O)C2=C1Nc4ccc(I)cc4F)c5cccc(NC(=O)C)c5)C.CS(=O)C 1378011
CN1C(=O)C(O)N=C(c2ccccc2)c3cc(Cl)ccc13 95909
CN1C(=O)C=C(N2CCC[C@@H](N)C2)N(Cc3ccccc3C#N)C1=O 377721
CN1C(=O)C=C(N2CCC[C@@H](N)C2)N(Cc3ccccc3C#N)C1=O.OC(=O)c4ccccc4 377715
CN1C(=O)CC(=O)N(c2ccccc2)c3cc(Cl)ccc13 111390
CN1C(=O)CC(C)(C1=O)c2ccccc2 31857
CN1C(=O)CC(C1=O)c2ccccc2 49869
CN1C(=O)CN=C(c2ccccc2)c3cc(Cl)ccc13 721
CN1C(=O)N(C)c2ncn(C)c2C1=O 16485
CN1C(=O)N(C)c2ncn(C)c2C1=O.OC(=O)CC(O)(CC(=O)O)C(=O)O 674520
CN1C(=O)N(C)c2ncn(CC(O)CO)c2C1=O 581819
CN1C(=O)N(C)c2nc[n-]c2C1=O.C[N+](C)(C)CCO 674385
CN1C(=O)N(C)c2nc[nH]c2C1=O 381693
CN1C(=O)N(C)c2nc[nH]c2C1=O.CN3C(=O)N(C)c4nc[nH]c4C3=O.NCCN 794445
CN1C(=O)N(C)c2nc[nH]c2C1=O.NCC(=O)O 682597
CN1C(=O)N(CCCCC(=O)C)C(=O)c2c1ncn2C 27029
CN1C(=O)OC(C)(C)C1=O 31804
CN1C(c2ccc(Cl)cc2)S(=O)(=O)CCC1=O 674665
CN1C(CCl)Nc2cc(Cl)c(cc2S1(=O)=O)S(=O)(=O)N 453564
CN1C(CSCC(F)(F)F)Nc2cc(Cl)c(cc2S1(=O)=O)S(=O)(=O)N 453832
CN1C2CCCC1CC(C2)NC(=O)c3nn(C)c4ccccc34 54547
CN1C=CC(=O)C(=C1C)O 112090
CN1C=CNC1=S 421089
CN1CC(=O)N2[C@H](Cc3c([nH]c4ccccc34)[C@H]2c5ccc6OCOc6c5)C1=O 44920
CN1CCC(=C2c3ccccc3C=Cc4ccccc24)CC1 11005
CN1CCC(=C2c3ccccc3CCc4cccnc24)CC1 89672
CN1CCC(=C2c3ccccc3CCc4cccnc24)CC1.OC(=O)\C=C/C(=O)O.OC(=O)\C=C/C(=O)O 1926757
CN1CCC(CC1)OC(c2ccccc2)c3ccccc3 418482
CN1CCC(CN2c3ccccc3Sc4ccccc24)C1 674910
CN1CCCC(CC2c3ccccc3Sc4ccccc24)C1 675293
CN1CCCCC1CCN2c3ccccc3Sc4ccc(cc24)[S+](C)[O-] 148004
CN1CCCCC1CCN2c3ccccc3Sc4ccc(cc24)[S+](C)[O-].OS(=O)(=O)c5ccccc5 675003
CN1CCCN=C1COC(=O)C(O)(C2CCCCC2)c3ccccc3 418489
CN1CCC[C@@H]1Cc2c[nH]c3ccc(CCS(=O)(=O)c4ccccc4)cc23 421034
CN1CCC[C@@H]1CCO[C@](C)(c2ccccc2)c3ccc(Cl)cc3 469763
CN1CCC[C@@H]1CCO[C@](C)(c2ccccc2)c3ccc(Cl)cc3.OC(=O)\C=C\C(=O)O 674746
CN1CCC[C@H]1c2cccnc2 115
CN1CCN(CC1)C(=O)O[C@@H]2N(C(=O)c3nccnc23)c4ccc(Cl)cn4 421334
CN1CCN(CC1)C2=Nc3cc(Cl)ccc3Nc4ccccc24 2261
CN1CCN(CC1)C2=Nc3ccccc3Nc4sc(C)cc24 34197
CN1CCN(CC1)C2=Nc3ccccc3Oc4ccc(Cl)cc24 59519
CN1CCN(CC1)C2=Nc3ccccc3Oc4ccc(Cl)cc24.OC(=O)CCC(=O)O 675106
CN1CCN(Cc2ccc(cc2)C(=O)Nc3ccc(C)c(Nc4nccc(n4)c5cccnc5)c3)CC1 88797
CN1CCN(Cc2ccc(cc2)C(=O)Nc3ccc(C)c(Nc4nccc(n4)c5cccnc5)c3)CC1.CS(=O)(=O)O 485100
CN1CCN(Cc2ccc(NC(=O)c3ccc(C)c(c3)C#Cc4cnc5cccnn45)cc2C(F)(F)F)CC1 649637
CN1CCN(CCCN2c3ccccc3Sc4ccc(cc24)C(F)(F)F)CC1 1325
CN1CCN(CCCN2c3ccccc3Sc4ccc(Cl)cc24)CC1 37266
CN1CCN(CCCN2c3ccccc3Sc4ccc(Cl)cc24)CC1.OC(=O)\C=C/C(=O)O 674538
CN1CCN(CCCN2c3ccccc3Sc4ccc(Cl)cc24)CC1.OS(=O)(=O)CCS(=O)(=O)O 675105
CN1CCN2C(C1)c3ccccc3Cc4cccnc24 27610
CN1CC[C@@]23[C@H]4CCC(=O)[C@@H]2Oc5c(O)ccc(C[C@@H]14)c35 419580
CN1CC[C@]23CCCC[C@H]2[C@H]1Cc4ccc(O)cc34 19572
CN1CC[C@]23CCCC[C@H]2[C@H]1Cc4ccc(O)cc34.OC(C(O)C(=O)O)C(=O)O 1355852
CN1CC[C@]23[C@H]4Oc5c(O)ccc(C[C@@H]1[C@@H]2C=C[C@@H]4O)c35 6005
CN1CC[C@]23[C@H]4Oc5c(O)ccc(C[C@@H]1[C@]2(O)CCC4=O)c35 94484
Cn1cnc(c1Sc2ncnc3nc[nH]c23)[N+](=O)[O-] 431141
CN1C[C@@H](C=C2[C@H]1Cc3c[nH]c4cccc2c34)C(=O)N[C@]5(C)O[C@@]6(O)[C@@H]7CCCN7C(=O)[C@H](Cc8ccccc8)N6C5=O 2203
CN1C[C@@H](C=C2[C@H]1Cc3c[nH]c4cccc2c34)C(=O)N[C@]5(C)O[C@@]6(O)[C@@H]7CCCN7C(=O)[C@H](Cc8ccccc8)N6C5=O.OC(C(O)C(=O)O)C(=O)O 1355856
CN1N=C(S/C/1=N/C(=O)C)S(=O)(=O)N 1124
CN1N=Nc2c(ncn2C1=O)C(=O)N 53686
Cn1nnc(n1)c2ccc(cn2)c3ccc(cc3F)N4C[C@H](COP(=O)(O)O)OC4=O 1377939
CN1[C@@H](CNc2ccc(cc2)C(=O)N[C@@H](CCC(=O)O)C(=O)O)CNC3=C1C(=O)N=C(N)N3 693924
CN1[C@@H]2CC[C@H]1C[C@H](C2)OC(=O)C(CO)c3ccccc3 445395
CN1[C@@H]2CC[C@H]1C[C@H](C2)OC(=O)C(CO)c3ccccc3.OS(=O)(=O)O 1418097
CN1[C@@H]2CC[C@H]1C[C@H](C2)OC(c3ccccc3)c4ccccc4 675154
CN1[C@@H]2CC[C@H]1C[C@H](C2)OC(c3ccccc3)c4ccccc4.CS(=O)(=O)O 674334
CNC(=C[N+](=O)[O-])NCCSCc1oc(CN(C)C)cc1 1153672
CNC(=O)c1cc(Oc2ccc(NC(=O)Nc3ccc(Cl)c(c3)C(F)(F)F)c(F)c2)ccn1 1277553
CNC(=O)c1cc(Oc2ccc(NC(=O)Nc3ccc(Cl)c(c3)C(F)(F)F)cc2)ccn1 276734
CNC(=O)c1cc(Oc2ccc(NC(=O)Nc3ccc(Cl)c(c3)C(F)(F)F)cc2)ccn1.Cc4ccc(cc4)S(=O)(=O)O 674436
CNC(=O)c1ccc(cc1F)N2C(=S)N(C(=O)C2(C)C)c3ccc(C#N)c(c3)C(F)(F)F 630886
CNC(=O)c1ccccc1Sc2ccc3c(\C=C\c4ccccn4)n[nH]c3c2 716337
CNC1(C)C2CCC(C2)C1(C)C 880
CNC1=Nc2ccc(Cl)cc2C(=[N+]([O-])C1)c3ccccc3 2431
CNCC(=O)OCc1cccnc1N(C)C(=O)OC(C)[n+]2cnn(C[C@@](O)([C@@H](C)c3nc(cs3)c4ccc(cc4)C#N)c5cc(F)ccc5F)c2 657299
CNCC(=O)OCc1cccnc1N(C)C(=O)OC(C)[n+]2cnn(C[C@@](O)([C@@H](C)c3nc(cs3)c4ccc(cc4)C#N)c5cc(F)ccc5F)c2.OS(=O)(=O)[O-] 1626764
CNCc1ccc(cc1)c2[nH]c3cc(F)cc4C(=O)NCCc2c34 651088
CNCc1ccc(cc1)c2[nH]c3cc(F)cc4C(=O)NCCc2c34.CC5(C)[C@@H]6CC[C@@]5(CS(=O)(=O)O)C(=O)C6 2096419
CNCCC(Oc1ccc(cc1)C(F)(F)F)c2ccccc2 2223
CNCCC=C1c2ccccc2CCc3ccccc13 2262
CNCCCC12CCC(c3ccccc13)c4ccccc24 27713
CNCCCC1c2ccccc2C=Cc3ccccc13 28112
CNCCCN1c2ccccc2CCc3ccccc13 6243
CNCC[C@@H](Oc1ccccc1C)c2ccccc2 27342
CNCC[C@H](Oc1cccc2ccccc12)c3cccs3 192908
CNC[C@H](O)c1cccc(O)c1 219334
CNNCc1ccc(cc1)C(=O)NC(C)C 266225
CNS(=O)(=O)Cc1ccc2[nH]cc(CCN(C)C)c2c1 27111
CNS(=O)(=O)Cc1ccc2[nH]cc(CCN(C)C)c2c1.OC(=O)CCC(=O)O 675101
CNS(=O)(=O)CCc1ccc2[nH]cc(C3CCN(C)CC3)c2c1 250297
CN[C@@H](C)Cc1ccccc1 675152
CN[C@@H](C)[C@@H](O)c1ccccc1 454076
CN[C@@H](C)[C@@H](O)c1ccccc1.OS(=O)(=O)O 674851
CN[C@@H]1CCc2[nH]c3ccc(cc3c2C1)C(=O)N 250328
CN[C@@H]1CCc2[nH]c3ccc(cc3c2C1)C(=O)N.OC(=O)CCC(=O)O 674322
CN[C@H](CC(C)C)C(=O)N[C@@H]1[C@H](O)c2ccc(Oc3cc4cc(Oc5ccc(cc5Cl)[C@@H](O)[C@@H]6NC(=O)[C@H](NC(=O)[C@@H]4NC(=O)[C@H](CC(=O)N)NC1=O)c7ccc(O)c(c7)c8c(O)cc(O)cc8[C@H](NC6=O)C(=O)O)c3O[C@@H]9O[C@H](CO)[C@@H](O)[C@H](O)[C@H]9O[C@H]%10C[C@](C)(N)[C@H](O)[C@H](C)O%10)c(Cl)c2 70140
CN[C@H]1CC[C@@H](c2ccc(Cl)c(Cl)c2)c3ccccc13 53616
CN\C(=C/[N+](=O)[O-])\NCCSCc1csc(CN(C)C)n1 27604
CN\C(=N/C)\NCc1ccccc1 675211
CN\C(=N/C)\NCc1ccccc1.CN\C(=N/C)\NCc2ccccc2.OS(=O)(=O)O 1382808
CN\C(=N/CCSCc1nc[nH]c1C)\NC#N 1620
COC(=O)C(C1CCCCN1)c2ccccc2 49842
COC(=O)C1=C(C)NC(=C(C1c2cccc(c2)[N+](=O)[O-])C(=O)OCCN(C)Cc3ccccc3)C 407549
COC(=O)C1=C(C)NC(=C(C1c2cccc3nonc23)C(=O)OC(C)C)C 486789
COC(=O)C1=C(C)NC(=C(C1c2ccccc2[N+](=O)[O-])C(=O)OC)C 419596
COC(=O)C1=C(C)NC(=C(C1c2ccccc2[N+](=O)[O-])C(=O)OCC(C)C)C 554892
COC(=O)c1ccc2\C(=C(\Nc3ccc(cc3)N(C)C(=O)CN4CCN(C)CC4)/c5ccccc5)\C(=O)Nc2c1 522730
COC(=O)N(C)c1c(N)nc(nc1N)c2nn(Cc3ccccc3F)c4ncccc24 1380104
COC(=O)Nc1nc2ccc(cc2[nH]1)C(=O)c3ccccc3 29637
COC(=O)N[C@@H](C(C)C)C(=O)N1CC2(CC2)C[C@H]1c3nc(c[nH]3)c4ccc5c6ccc(cc6C(F)(F)c5c4)c7ccc8[nH]c(nc8c7)[C@@H]9[C@H]%10CC[C@H](C%10)N9C(=O)[C@@H](NC(=O)OC)C(C)C 1548671
COC(=O)N[C@@H](C(C)C)C(=O)N1CCC[C@H]1C(=O)Nc2ccc(cc2)[C@@H]3CC[C@H](N3c4ccc(cc4)C(C)(C)C)c5ccc(NC(=O)[C@@H]6CCCN6C(=O)[C@@H](NC(=O)OC)C(C)C)cc5 1623950
COC(=O)N[C@@H](C(C)C)C(=O)N1CCC[C@H]1c2nc(c[nH]2)c3ccc4c(O[C@@H](c5ccccc5)n6c4cc7cc(ccc67)c8c[nH]c(n8)[C@@H]9CCCN9C(=O)[C@@H](NC(=O)OC)C(C)C)c3 1592332
COC(=O)N[C@@H](C(C)C)C(=O)N1CCC[C@H]1c2ncc([nH]2)c3ccc(cc3)c4ccc(cc4)c5cnc([nH]5)[C@@H]6CCCN6C(=O)[C@@H](NC(=O)OC)C(C)C 1339281
COC(=O)N[C@H](C(=O)N[C@@H](Cc1ccccc1)[C@@H](O)CN(Cc2ccc(cc2)c3ccccn3)NC(=O)[C@@H](NC(=O)OC)C(C)(C)C)C(C)(C)C 188196
COC(=O)N[C@H](C(=O)N[C@@H](Cc1ccccc1)[C@@H](O)CN(Cc2ccc(cc2)c3ccccn3)NC(=O)[C@@H](NC(=O)OC)C(C)(C)C)C(C)(C)C.OS(=O)(=O)O 674629
COC(=O)[C@@H](N1CCc2sccc2C1)c3ccccc3Cl 598402
COC(=O)[C@@H](N1CCc2sccc2C1)c3ccccc3Cl.OS(=O)(=O)O 630396
COC(=O)[C@@H]([C@H]1CCCCN1)c2ccccc2 57397
COC(=O)[C@@H]1CC2=CC(=O)CC[C@]2(C)[C@@]34O[C@@H]3C[C@@]5(C)[C@@H](CC[C@@]56CCC(=O)O6)[C@H]14 626453
COC(=O)\C=C\C(=O)OC 1379603
COC([C@H](Oc1nc(C)cc(C)n1)C(=O)O)(c2ccccc2)c3ccccc3 154051
COC1=CC(=O)C[C@@H](C)[C@]12Oc3c(Cl)c(OC)cc(OC)c3C2=O 16303
COC1=CC=C2C(=CC1=O)[C@H](CCc3cc(OC)c(OC)c(OC)c23)NC(=O)C 14440
COc1c(C)c2COC(=O)c2c(O)c1C\C=C(/C)\CCC(=O)O 68396
COc1c(C)c2COC(=O)c2c(O)c1C\C=C(/C)\CCC(=O)OCCN3CCOCC3 386457
COc1c(cc(cc1C(C)(C)C)N2C=CC(=O)NC2=O)c3ccc4cc(NS(=O)(=O)C)ccc4c3 1626743
COc1c(N2CCNC(C)C2)c(F)cc3C(=O)C(=CN(C4CC4)c13)C(=O)O 1712
COc1c(N2C[C@@H]3CCCN[C@@H]3C2)c(F)cc4C(=O)C(=CN(C5CC5)c14)C(=O)O 1788
COc1c2OC(=O)C=Cc2cc3ccoc13 1063
COc1cc(C)c(\C=C\C(=C\C=C\C(=C\C(=O)O)\C)\C)c(C)c1C 169652
COc1cc(cc(OC)c1O)[C@H]2[C@@H]3[C@H](COC3=O)[C@H](O[C@@H]4O[C@@H]5CO[C@@H](C)O[C@H]5[C@H](O)[C@H]4O)c6cc7OCOc7cc26 68607
COc1cc(cc(OC)c1OC)C(=O)NCc2ccc(OCCN(C)C)cc2 675207
COc1cc(Cc2cnc(N)nc2N)cc(OC)c1OC 1216
COc1cc(ccc1Cc2cn(C)c3ccc(NC(=O)OC4CCCC4)cc23)C(=O)NS(=O)(=O)c5ccccc5C 21523
COc1cc(ccc1OCCCN2CCC(CC2)c3noc4cc(F)ccc34)C(=O)C 13949
COc1cc(N(C)CCN(C)C)c(NC(=O)C=C)cc1Nc2nccc(n2)c3cn(C)c4ccccc34 1817518
COc1cc(N(C)CCN(C)C)c(NC(=O)C=C)cc1Nc2nccc(n2)c3cn(C)c4ccccc34.CS(=O)(=O)O 1926912
COc1cc(NC(C)CCCN)c2ncccc2c1 10389
COc1cc(NC(C)CCCN)c2ncccc2c1.OP(=O)(O)O.OP(=O)(O)O 58232
COc1cc(Nc2c(cnc3cc(OCCCN4CCN(C)CC4)c(OC)cc23)C#N)c(Cl)cc1Cl 62111
COc1cc2c(Nc3ccc(Br)cc3F)ncnc2cc1OCC4CCN(C)CC4 33576
COc1cc2CC(CC3CCN(Cc4ccccc4)CC3)C(=O)c2cc1OC 9372
COc1cc2CCN(CCCN(C)C[C@H]3Cc4cc(OC)c(OC)cc34)C(=O)Cc2cc1OC 448872
COc1cc2CCN3CC(CC(C)C)C(=O)CC3c2cc1OC 193281
COc1cc2N(C=C(C(=O)O)C(=O)c2cc1Cc3cccc(Cl)c3F)[C@H](CO)C(C)C 340684
COc1cc2nc(nc(N)c2cc1OC)N(C)CCCNC(=O)C3CCCO3 33667
COc1cc2nc(nc(N)c2cc1OC)N3CCN(CC3)C(=O)C4CCCO4 23093
COc1cc2nc(nc(N)c2cc1OC)N3CCN(CC3)C(=O)C4COc5ccccc5O4 33373
COc1cc2nc(nc(N)c2cc1OC)N3CCN(CC3)C(=O)C4COc5ccccc5O4.CS(=O)(=O)O 674512
COc1cc2nc(nc(N)c2cc1OC)N3CCN(CC3)C(=O)c4occc4 97
COc1cc2nccc(Oc3ccc(NC(=O)C4(CC4)C(=O)Nc5ccc(F)cc5)cc3)c2cc1OC 1377987
COc1cc2nccc(Oc3ccc(NC(=O)C4(CC4)C(=O)Nc5ccc(F)cc5)cc3)c2cc1OC.O[C@@H](CC(=O)O)C(=O)O 1376138
COc1cc2nccc(Oc3ccc(NC(=O)NC4CC4)c(Cl)c3)c2cc1C(=O)N 716009
COc1cc2nccc(Oc3ccc(NC(=O)NC4CC4)c(Cl)c3)c2cc1C(=O)N.CS(=O)(=O)O 1377974
COc1cc2ncnc(Nc3ccc(F)c(Cl)c3)c2cc1OCCCN4CCOCC4 88232
COc1ccc(cc1)C(=C(c2ccc(OC)cc2)c3ccc(OC)cc3)Cl 674712
COc1ccc(cc1)C(CN(C)C)C2(O)CCCCC2 27278
COc1ccc(cc1)C2C(=O)c3ccccc3C2=O 33809
COc1ccc(cc1)n2nc(C(=O)N)c3CCN(C(=O)c23)c4ccc(cc4)N5CCCCC5=O 397524
COc1ccc(cc1)[C@@H]2Sc3ccccc3N(CCN(C)C)C(=O)[C@@H]2OC(=O)C 1278
COc1ccc(cc1)[C@@H]2Sc3ccccc3N(CCN(C)C)C(=O)[C@@H]2OC(=O)C.OC(CC(=O)O)C(=O)O 674756
COc1ccc(CCN(C)CCCC(C#N)(C(C)C)c2ccc(OC)c(OC)c2)cc1OC 1219
COc1ccc(CCN2CCC(CC2)Nc3nc4ccccc4n3Cc5ccc(F)cc5)cc1 65605
COc1ccc(Cl)cc1C(=O)NCCc2ccc(cc2)S(=O)(=O)NC(=O)NC3CCCCC3 5582
COc1ccc(CN(CCN(C)C)c2ccccn2)cc1 10661
COc1ccc(CN(CCN(C)C)c2ccccn2)cc1.OC(=O)\C=C/C(=O)O 674957
COc1ccc(CN([C@@H](C)c2nc(c[nH]2)c3ccccc3)C(=O)[C@@H](N)Cc4c(C)cc(cc4C)C(=O)N)cc1C(=O)O 1425665
COc1ccc(CNc2nc(ncc2C(=O)NCc3ncccn3)N4CCC[C@H]4CO)cc1Cl 1285392
COc1ccc(OC)c(c1)C(O)CNC(=O)CN 675163
COc1ccc2c(c1)c(CC(=O)O)c(C)n2C(=O)c3ccc(Cl)cc3 173
COc1ccc2c(O[C@@H]3C[C@@H]4[C@@H](C3)C(=O)N(C)CCCC\C=C/[C@@H]5C[C@]5(NC4=O)C(=O)NS(=O)(=O)C6CC6)cc(nc2c1C)c7nc(cs7)C(C)C 451744
COc1ccc2cc(CCC(=O)C)ccc2c1 139210
COc1ccc2cc(ccc2c1)[C@H](C)C(=O)O 51056
COc1ccc2CN(C)CC[C@@]34C=C[C@H](O)C[C@@H]3Oc1c24 27639
COc1ccc2C[C@@H]3[C@@H]4C=C[C@H](O)[C@@H]5Oc1c2[C@]45CCN3C 6167
COc1ccc2C[C@@H]3[C@@H]4C=C[C@H](O)[C@@H]5Oc1c2[C@]45CCN3C.OS(=O)(=O)O 37309
COc1ccc2C[C@@H]3[C@@H]4CCC(=O)[C@@H]5Oc1c2[C@]45CCN3C 388373
COc1ccc2C[C@@H]3[C@@H]4CCC(=O)[C@@H]5Oc1c2[C@]45CCN3C.OC(C(O)C(=O)O)C(=O)O 1355858
COc1ccc2C[C@@H]3[C@@H]4CC[C@H](O)[C@@H]5Oc1c2[C@]45CCN3C 454306
COc1ccc2C[C@@H]3[C@@H]4CC[C@H](O)[C@@H]5Oc1c2[C@]45CCN3C.OC(C(O)C(=O)O)C(=O)O 1355857
COc1ccc2C[C@H]3N(C)CC[C@@]45[C@@H](Oc1c24)C(=O)CC[C@@]35O 27624
COc1ccc2C[C@H]3N(C)CC[C@@]45[C@@H](Oc1c24)C(=O)CC[C@@]35O.OC(=O)c6ccc(cc6)C(=O)O 674562
COc1ccc2C[C@H]3[C@H]4CCCC[C@@]4(CCN3C)c2c1 77456
COc1ccc2nc3CCCCC[C@@H]4C[C@H]4OC(=O)N[C@H](C(=O)N5C[C@@H](C[C@H]5C(=O)N[C@@]6(C[C@H]6C=C)C(=O)NS(=O)(=O)C7CC7)Oc3nc2c1)C(C)(C)C 1356484
COc1ccc2nccc([C@@H](O)[C@@H]3C[C@@H]4CCN3C[C@@H]4C=C)c2c1 255947
COc1ccc2nccc([C@H](O)[C@H]3C[C@@H]4CCN3C[C@@H]4C=C)c2c1 255477
COc1ccc2nccc([C@H](O)[C@H]3C[C@@H]4CCN3C[C@@H]4C=C)c2c1.OC[C@@H](O)[C@@H](O)[C@H](O)[C@@H](O)C(=O)O 674388
COc1ccc2[C@H]3CC[C@@]4(C)[C@@H](CC[C@@]4(O)C#C)[C@@H]3CCc2c1 675102
COc1ccc2[nH]c(nc2c1)[S+]([O-])Cc3ncc(C)c(OC)c3C 419601
COc1ccc2[nH]c(nc2c1)[S+]([O-])Cc3ncc(C)c(OC)c3C 675271
COc1cccc(c1)C2(O)CCCCC2CN(C)C 699395
COc1ccccc1Oc2c(NS(=O)(=O)c3ccc(cc3)C(C)(C)C)nc(nc2OCCO)c4ncccn4 93617
COc1ccccc1OCC(O)CN2CCN(CC(=O)Nc3c(C)cccc3C)CC2 341382
COc1ccccc1OCC(O)CO 100157
COc1ccccc1OCC(O)COC(=O)N 675068
COc1ccccc1OCCNCC(O)COc2cccc3[nH]c4ccccc4c23 36662
COc1ccccc1OCCNCC(O)COc2cccc3[nH]c4ccccc4c23.OP(=O)(O)O 675118
COc1ccnc(C[S+]([O-])c2nc3cc(OC(F)F)ccc3[nH]2)c1OC 419598
COC1CN(CCCOc2ccc(F)cc2)CCC1NC(=O)c3cc(Cl)c(N)cc3OC 557741
COc1cnc(NS(=O)(=O)c2ccc(N)cc2)nc1 674310
COc1nc2ccc(Br)cc2cc1[C@@H](c3ccccc3)[C@@](O)(CCN(C)C)c4cccc5ccccc45 373981
COc1nc2ccc(Br)cc2cc1[C@@H](c3ccccc3)[C@@](O)(CCN(C)C)c4cccc5ccccc45.OC(=O)\C=C\C(=O)O 1377970
COc1ncnc(NS(=O)(=O)c2ccc(N)cc2)c1OC 430546
COCC(=O)O[C@]1(CCN(C)CCCc2nc3ccccc3[nH]2)CCc4cc(F)ccc4[C@@H]1C(C)C 72035
COCC1=C(N2[C@H](SC1)[C@H](NC(=O)\C(=N/OC)\c3csc(N)n3)C2=O)C(=O)OC(C)OC(=O)OC(C)C 674967
COCc1c(nc(C(C)C)c(\C=C\[C@@H](O)C[C@@H](O)CC(=O)O)c1c2ccc(F)cc2)C(C)C 403465
COCCc1ccc(OCC(O)CNC(C)C)cc1 789
COCCc1ccc(OCC(O)CNC(C)C)cc1.OC(=O)CCC(=O)O 674288
COCCc1ccc(OCC(O)CNC(C)C)cc1.OC(=O)\C=C\C(=O)O 674849
COCCc1ccc(OCC(O)CNC(C)C)cc1.OC(C(O)C(=O)O)C(=O)O 705951
COCCCC\C(=N/OCCN)\c1ccc(cc1)C(F)(F)F 54722
COCCCC\C(=N/OCCN)\c1ccc(cc1)C(F)(F)F.OC(=O)\C=C/C(=O)O 345595
COCCCOc1cc(C[C@@H](C[C@H](N)[C@@H](O)C[C@@H](C(C)C)C(=O)NCC(C)(C)C(=O)N)C(C)C)ccc1OC 480746
COCCCOc1cc(C[C@@H](C[C@H](N)[C@@H](O)C[C@@H](C(C)C)C(=O)NCC(C)(C)C(=O)N)C(C)C)ccc1OC.COCCCOc2cc(C[C@@H](C[C@H](N)[C@@H](O)C[C@@H](C(C)C)C(=O)NCC(C)(C)C(=O)N)C(C)C)ccc2OC.OC(=O)\C=C\C(=O)O 1926908
COCCCOc1ccnc(C[S+]([O-])c2nc3ccccc3[nH]2)c1C 222203
COCCOC(=O)C1=C(C)NC(=C(C1c2cccc(c2)[N+](=O)[O-])C(=O)OC(C)C)C 365248
COCCOc1cc2ncnc(Nc3cccc(c3)C#C)c2cc1OCCOC 14785
COCCOCCOCCOCCOCCOCCOCCO[C@H]1CC[C@@]2(O)[C@H]3Cc4ccc(O)c5O[C@@H]1[C@]2(CCN3CC=C)c45 1449222
COCCOCCOCCOCCOCCOCCOCCO[C@H]1CC[C@@]2(O)[C@H]3Cc4ccc(O)c5O[C@@H]1[C@]2(CCN3CC=C)c45.OC(=O)C(=O)O 1449220
COC[C@@H](NC(=O)C)C(=O)NCc1ccccc1 88739
COC[C@H]1C[C@H](N(C1)C(=O)[C@H](NC(=O)OC)c2ccccc2)c3nc(c[nH]3)c4ccc5c(COc6cc7c(ccc8nc([nH]c78)[C@@H]9CC[C@H](C)N9C(=O)[C@@H](NC(=O)OC)C(C)C)cc56)c4 1926911
COS(=O)(=O)[O-].C[N+]1(C)CCC(=C(c2ccccc2)c3ccccc3)CC1 674831
COS(=O)(=O)[O-].C[N+]1(C)CCN(CC(O)(C2CCCCC2)c3ccccc3)CC1 1049461
CO[C@@H]1C[C@@H](CC[C@H]1O)\C=C(/C)\[C@H]2OC(=O)[C@@H]3CCCCN3C(=O)C(=O)[C@]4(O)O[C@H]([C@H](C[C@@H](C)C\C(=C\[C@@H](CC=C)C(=O)C[C@H](O)[C@H]2C)\C)OC)[C@H](C[C@H]4C)OC 924
CO[C@@H]1C[C@H](C[C@@H](C)[C@@H]2CC(=O)[C@H](C)\C=C(/C)\[C@@H](O)[C@@H](OC)C(=O)[C@H](C)C[C@H](C)\C=C\C=C\C=C(/C)\[C@H](C[C@@H]3CC[C@@H](C)[C@@](O)(O3)C(=O)C(=O)N4CCCC[C@H]4C(=O)O2)OC)CC[C@H]1O 923
CO[C@@H]1C[C@H](C[C@@H](C)[C@@H]2CC(=O)[C@H](C)\C=C(/C)\[C@@H](O)[C@@H](OC)C(=O)[C@H](C)C[C@H](C)\C=C\C=C\C=C(/C)\[C@H](C[C@@H]3CC[C@@H](C)[C@@](O)(O3)C(=O)C(=O)N4CCCC[C@H]4C(=O)O2)OC)CC[C@H]1OCCO 1248731
CO[C@@H]1[C@@H](OC(=O)N)[C@@H](O)[C@H](Oc2ccc3C(=C(NC(=O)c4ccc(O)c(CC=C(C)C)c4)C(=O)Oc3c2C)O)OC1(C)C 48697
CO[C@H]1C[C@H](O[C@H]2[C@H](C)[C@@H](O[C@@H]3O[C@H](C)C[C@@H]([C@H]3OC(=O)C)N(C)C)[C@@H](C)C[C@@]4(CO4)C(=O)[C@H](C)[C@@H](OC(=O)C)[C@@H](C)[C@@H](C)OC(=O)[C@@H]2C)O[C@@H](C)[C@@H]1OC(=O)C 559106
CO[C@H]1O[C@@H]2O[C@@]3(C)CC[C@H]4[C@H](C)CC[C@@H]([C@H]1C)[C@@]24OO3 573926
CO[C@H]1[C@@H](C[C@@H]2CN3CCc4c([nH]c5cc(OC)ccc45)[C@H]3C[C@@H]2[C@@H]1C(=O)OC)OC(=O)c6cc(OC)c(OC)c(OC)c6 43952
CO[C@H]1[C@@H](C[C@@H]2CN3CCc4c([nH]c5cc(OC)ccc45)[C@H]3C[C@@H]2[C@@H]1C(=O)OC)OC(=O)\C=C\c6cc(OC)c(OC)c(OC)c6 503213
CO[C@H]1[C@@H](C[C@@H]2CN3CCc4c([nH]c5ccccc45)[C@H]3C[C@@H]2[C@@H]1C(=O)OC)OC(=O)c6cc(OC)c(OC)c(OC)c6 674466
CO[C@H]1\C=C\O[C@@]2(C)Oc3c(C)c(O)c4C(=O)C(=C5NC6(CCN(CC(C)C)CC6)N=C5c4c3C2=O)NC(=O)\C(=C/C=C/[C@H](C)[C@H](O)[C@@H](C)[C@@H](O)[C@@H](C)[C@H](OC(=O)C)[C@@H]1C)\C 397074
CO[C@H]1\C=C\O[C@@]2(C)Oc3c(C)c(O)c4c(O)c(NC(=O)\C(=C/C=C/[C@H](C)[C@H](O)[C@@H](C)[C@@H](O)[C@@H](C)[C@H](OC(=O)C)[C@@H]1C)\C)c(\C=N\N5CCN(C)CC5)c(O)c4c3C2=O 365189
CO[C@H]1\C=C\O[C@@]2(C)Oc3c(C)c(O)c4c(O)c(NC(=O)\C(=C/C=C/[C@H](C)[C@H](O)[C@@H](C)[C@@H](O)[C@@H](C)[C@H](OC(=O)C)[C@@H]1C)\C)c(\C=N\N5CCN(CC5)C6CCCC6)c(O)c4c3C2=O 497291
CO[C@H]1\C=C\O[C@@]2(C)Oc3c(C)c(O)c4c(O)c(NC(=O)\C(=C/C=C/[C@H](C)[C@H](O)[C@@H](C)[C@@H](O)[C@@H](C)[C@H](OC(=O)C)[C@@H]1C)\C)c5c(nc6cc(C)ccn56)c4c3C2=O 466768
CO\N=C(/C(=O)N[C@H]1[C@H]2SCC(=C(N2C1=O)C(=O)OC(C)OC(=O)C)COC(=O)N)\c3occc3 624296
CO\N=C(/C(=O)N[C@H]1[C@H]2SCC(=C(N2C1=O)C(=O)OCOC(=O)C(C)(C)C)\C=C/c3scnc3C)\c4csc(N)n4 506444
CO\N=C\1/CN(CC1CN)c2nc3N(C=C(C(=O)O)C(=O)c3cc2F)C4CC4 1853
CO\N=C\1/CN(CC1CN)c2nc3N(C=C(C(=O)O)C(=O)c3cc2F)C4CC4.CS(=O)(=O)O 674572
CS(=O)(=O)c1ccc(C(=O)Nc2ccc(Cl)c(c2)c3ccccn3)c(Cl)c1 460092
CS(=O)(=O)c1ccc(cc1)C2=C(C(=O)OC2)c3ccccc3 21697
CS(=O)(=O)CCNCc1oc(cc1)c2ccc3ncnc(Nc4ccc(OCc5cccc(F)c5)c(Cl)c4)c3c2 14805
CS(=O)(=O)O.C#CCN[C@@H]1CCc2ccccc12 675093
CS(=O)(=O)O.FC(F)(F)CNC(=O)C1(CCCCN2CCC(CC2)NC(=O)c3ccccc3c4ccc(cc4)C(F)(F)F)c5ccccc5c6ccccc16 1377932
CS(=O)(=O)O.Fc1ccc(cc1)[C@@H]2CCNC[C@H]2COc3ccc4OCOc4c3 674560
CS(=O)(=O)O.N[C@@H]1[C@H]2CN(C[C@@H]12)c3nc4N(C=C(C(=O)O)C(=O)c4cc3F)c5ccc(F)cc5F 674730
CS(=O)(=O)OCCCCOS(=O)(=O)C 56644
CSc1ccc2Sc3ccccc3N(CCC4CCCCN4C)c2c1 5970
C[C@@H](c1ncncc1F)[C@](O)(Cn2cncn2)c3ccc(F)cc3F 27308
C[C@@H](Cc1ccccc1)N(C)Cc2ccccc2 1927831
C[C@@H](Cc1ccccc1)NC(=O)[C@@H](N)CCCCN 675173
C[C@@H](Cc1ccccc1)NC(=O)[C@@H](N)CCCCN.CS(=O)(=O)O.CS(=O)(=O)O 675129
C[C@@H](NCCCc1cccc(c1)C(F)(F)F)c2cccc3ccccc23 675235
C[C@@H](Oc1cc(cnc1N)c2cnn(c2)C3CCNCC3)c4c(Cl)ccc(F)c4Cl 602271
C[C@@H](OC[C@]1(CC[C@]2(CCC(=O)N2)CN1)c3ccccc3)c4cc(cc(c4)C(F)(F)F)C(F)(F)F 2039302
C[C@@H](O[C@H]1OCCN(CC2=NNC(=O)N2)[C@H]1c3ccc(F)cc3)c4cc(cc(c4)C(F)(F)F)C(F)(F)F 399361
C[C@@H]1CCN(CCN1C(=O)c2cc(C)ccc2n3nccn3)c4oc5ccc(Cl)cc5n4 630322
C[C@@H]1CCN(C[C@@H]1N(C)c2ncnc3[nH]ccc23)C(=O)CC#N 367860
C[C@@H]1CCN(C[C@@H]1N(C)c2ncnc3[nH]ccc23)C(=O)CC#N.OC(=O)CC(O)(CC(=O)O)C(=O)O 1376013
C[C@@H]1CCO[C@H]2CN3C=C(C(=O)NCc4ccc(F)cc4F)C(=O)C(=C3C(=O)N12)O 691562
C[C@@H]1CN(C[C@H](C)N1)c2c(F)c(N)c3C(=O)C(=CN(C4CC4)c3c2F)C(=O)O 65351
C[C@@H]1CN(C[C@H](C)O1)c2ccc(NC(=O)c3cccc(c3C)c4ccc(OC(F)(F)F)cc4)cn2 1378007
C[C@@H]1CN(C[C@H](C)O1)c2ccc(NC(=O)c3cccc(c3C)c4ccc(OC(F)(F)F)cc4)cn2.OP(=O)(O)O.OP(=O)(O)O 1626748
C[C@@H]1C[C@H]2[C@@H]3CCC4=CC(=O)C=C[C@]4(C)[C@@]3(F)[C@@H](O)C[C@]2(C)[C@@]1(O)C(=O)CO 365281
C[C@@H]1C[C@H]2[C@@H]3C[C@H](F)C4=CC(=O)C=C[C@]4(C)[C@H]3[C@@H](O)C[C@]2(C)[C@@]1(O)C(=O)COC(=O)C 674293
C[C@@H]1OC(=O)C[C@H](O)C[C@H](O)CC[C@@H](O)[C@H](O)C[C@H](O)C[C@]2(O)C[C@H](O)[C@H]([C@H](C[C@@H](O[C@@H]3O[C@H](C)[C@@H](O)[C@H](N)[C@@H]3O)\C=C\C=C\C=C\C=C\C=C\C=C\C=C\[C@H](C)[C@@H](O)[C@H]1C)O2)C(=O)O 8873
C[C@@H]1OC(=O)C[C@H](O)C[C@H](O)C[C@H](O)CC[C@@H](O)[C@H](O)C[C@]2(O)C[C@H](O)[C@H]([C@H](C[C@@H](O[C@H]3O[C@@H](C)[C@H](O)[C@@H](N)[C@H]3O)\C=C\C=C\C=C\C=C\CC\C=C\C=C\[C@H](C)[C@@H](O)[C@H]1C)O2)C(=O)O 381643
C[C@@H]1O[C@@H]1P(=O)(O)O 581859
C[C@@H]1O[C@@H]1P(=O)(O)[O-].[NH3+]C(CO)(CO)CO 674282
C[C@@H]1[C@H]2[C@H](O)[C@H]3[C@H](N(C)C)C(=C(C(=O)N)C(=O)[C@@]3(O)C(=C2C(=O)c4c(O)cccc14)O)O 371546
C[C@@](Cc1ccc(O)c(O)c1)(NN)C(=O)O 675187
C[C@H](Cc1cc2CCN(CCCO)c2c(c1)C(=O)N)NCCOc3ccccc3OCC(F)(F)F 33307
C[C@H](Cc1ccccc1)N(C)CC#C 96021
C[C@H](CCC(=O)O)[C@H]1CC[C@H]2[C@@H]3[C@@H](O)C[C@@H]4C[C@H](O)CC[C@]4(C)[C@H]3CC[C@]12C 442013
C[C@H](CCC(=O)O)[C@H]1CC[C@H]2[C@@H]3[C@H](O)C[C@@H]4C[C@H](O)CC[C@]4(C)[C@H]3CC[C@]12C 404691
C[C@H](CCC(=O)O)[C@H]1CC[C@H]2[C@@H]3[C@H](O)C[C@@H]4C[C@H](O)CC[C@]4(C)[C@H]3C[C@H](O)[C@]12C 343964
C[C@H](CCCC(C)(C)O)[C@H]1CC[C@H]2\C(=C\C=C/3\C[C@@H](O)CCC3=C)\CCC[C@]12C 125261
C[C@H](CCCC(C)(C)O)[C@H]1CC[C@H]2\C(=C\C=C/3\C[C@@H](O)C[C@H](O)C3=C)\CCC[C@]12C 63252
C[C@H](CS)C(=O)N1CCC[C@H]1C(=O)O 444750
C[C@H](N)Cc1ccccc1 23199
C[C@H](N)Cc1ccccc1.C[C@H](N)Cc2ccccc2.OS(=O)(=O)O 1926820
C[C@H](N)Cc1ccccc1.OC(=O)CCCCC(=O)O 674733
C[C@H](N)Cc1ccccc1.OC(C(O)C(O)C(=O)O)C(O)C(=O)O 674943
C[C@H](NCCc1ccc(O)cc1)[C@H](O)c2ccc(O)cc2 47138
C[C@H](O)C(=O)O.OC1(CCN(CCCC(=O)c2ccc(F)cc2)CC1)c3ccc(Cl)cc3 1369652
C[C@H](O)[C@H](O)[C@H]1CNc2nc(N)nc(O)c2N1 675725
C[C@H](\C=C\[C@H](C)C(C)(C)O)[C@H]1CC[C@H]2\C(=C\C=C3C[C@@H](O)C[C@H](O)C3)\CCC[C@]12C 674573
C[C@H]1CN(C[C@H](Cc2ccccc2)C(=O)NCC(=O)O)CC[C@@]1(C)c3cccc(O)c3 435293
C[C@H]1CNCCc2ccc(Cl)cc12 301194
C[C@H]1COc2c(N3CCN(C)CC3)c(F)cc4C(=O)C(=CN1c24)C(=O)O 1795
C[C@H]1C[C@@H]2[C@H](CC[C@@]3(C)[C@H]2CC[C@]3(OC(=O)C)C(=O)C)[C@@]4(C)CCC(=O)C=C14 34608
C[C@H]1C[C@H]2[C@@H]3CCC4=CC(=O)C=C[C@]4(C)[C@@]3(F)[C@@H](O)C[C@]2(C)[C@@]1(O)C(=O)CO 27152
C[C@H]1C[C@H]2[C@@H]3CCC4=CC(=O)C=C[C@]4(C)[C@H]3C(=O)C[C@]2(C)[C@@]1(O)C(=O)CO 675099
C[C@H]1C[C@H]2[C@@H]3CC[C@](O)(C(=O)CO)[C@@]3(C)C[C@H](O)[C@@H]2[C@@]4(C)C=CC(=O)C=C14 27575
C[C@H]1O[C@H](C[C@H](O)[C@@H]1O)O[C@H]2[C@@H](O)C[C@H](O[C@H]3[C@@H](O)C[C@H](O[C@H]4CC[C@@]5(C)[C@H](CC[C@@H]6[C@@H]5C[C@@H](O)[C@]7(C)[C@H](CC[C@]67O)C8=CC(=O)OC8)C4)O[C@@H]3C)O[C@@H]2C 581814
C[C@H]1O[C@H](C[C@H](OC(=O)C)[C@@H]1O)O[C@H]2[C@@H](O)C[C@H](O[C@H]3[C@@H](O)C[C@H](O[C@H]4CC[C@@]5(C)[C@H](CC[C@@H]6[C@@H]5CC[C@]7(C)[C@H](CC[C@]67O)C8=CC(=O)OC8)C4)O[C@@H]3C)O[C@@H]2C 1926906
C[C@H]1O[C@H](O[C@H]2[C@H](O)[C@@H](O)[C@@H](O[C@H]3[C@H](O)[C@@H](O)[C@H](O)O[C@@H]3CO)O[C@@H]2CO)[C@H](O)[C@@H](O)[C@@H]1N[C@H]4C=C(CO)[C@@H](O)[C@H](O)[C@H]4O 448986
C[C@H]1[C@H]2Cc3ccc(O)cc3[C@]1(C)CCN2CC=C(C)C 16117
C[C@](N)(Cc1ccc(O)c(O)c1)C(=O)O 3730
C[C@](N)(Cc1ccc(O)cc1)C(=O)O 674813
C[C@]1(O)CC[C@H]2[C@@H]3CCC4=CC(=O)CC[C@]4(C)[C@@]3(F)[C@@H](O)C[C@]12C 377718
C[C@]1(O)CC[C@H]2[C@@H]3CCC4=CC(=O)CC[C@]4(C)[C@H]3CC[C@]12C 328400
C[C@]1(O)CC[C@H]2[C@@H]3CC[C@H]4CC(=O)OC[C@]4(C)[C@H]3CC[C@]12C 674387
C[C@]1(O)CC[C@H]2[C@@H]3CC[C@H]4CC(=O)\C(=C/O)\C[C@]4(C)[C@H]3CC[C@]12C 674536
C[C@]1(O)CC[C@H]2[C@@H]3CC[C@H]4Cc5n[nH]cc5C[C@]4(C)[C@H]3CC[C@]12C 1363818
C[C@]12CC(=O)[C@H]3[C@@H](CCC4=CC(=O)C=C[C@]34C)[C@@H]1CC[C@]2(O)C(=O)CO 27229
C[C@]12Cc3cnoc3C=C1CC[C@@H]4[C@@H]2CC[C@@]5(C)[C@H]4CC[C@@]5(O)C#C 405364
C[C@]12CCC(=O)C=C1CC[C@H]3[C@@H]4CC[C@](O)(C(=O)CO)[C@@]4(C)C[C@H](O)[C@H]23 374052
C[C@]12CCC(=O)C=C1CC[C@H]3[C@@H]4CC[C@](O)(C(=O)COC(=O)CCC5CCCC5)[C@@]4(C)C[C@H](O)[C@H]23 439720
C[C@]12CCC(=O)C=C1[C@@H]3C[C@@H]3[C@@H]4[C@@H]2CC[C@@]5(C)[C@H]4[C@@H]6C[C@@H]6[C@@]57CCC(=O)O7 421032
C[C@]12CCC3=C4CCC(=O)C=C4CC[C@H]3[C@@H]1CC[C@@]2(O)CC#N 675813
C[C@]12CC[C@H]3[C@@H](CC(=C)C4=CC(=O)C=C[C@]34C)[C@@H]1CCC2=O 674325
C[C@]12CC[C@H]3[C@@H](CCC4=C3CCC(=O)C4)[C@@H]1CC[C@@]2(O)C#C 328153
C[C@]12CC[C@H]3[C@@H](CCC4=CC(=O)C=C[C@]34C)[C@@H]1CCC(=O)O2 453121
C[C@]12CC[C@H]3[C@@H](CCC4=CC(=O)CC[C@H]34)[C@@H]1CC[C@@]2(O)C#C 187962
C[C@]12CC[C@H]3[C@@H](CCc4cc(O)ccc34)[C@@H]1CC[C@@H]2O 27626
C[C@]12CC[C@H]3[C@@H](CCc4cc(O)ccc34)[C@@H]1CC[C@@]2(O)C#C 31241
C[C@]12CC[C@H]3[C@@H](CCc4cc(OC(=O)N(CCCl)CCCl)ccc34)[C@@H]1CC[C@@H]2OP(=O)(O)O 581858
C[C@]12CC[C@H]3[C@@H](CCc4cc(OC5CCCC5)ccc34)[C@@H]1CC[C@@]2(O)C#C 675116
C[C@]12CC[C@H]3[C@@H](CCc4cc(OS(=O)(=O)O)ccc34)[C@@H]1CCC2=O 485955
C[C@]12CC[C@H]3[C@@H](CCc4cc(OS(=O)(=O)O)ccc34)[C@@H]1CCC2=O.C5CNCCN5 674931
C[C@]12CC[C@H]3[C@@H](CC[C@@]45O[C@@H]4C(=C(C[C@]35C)C#N)O)[C@@H]1CC[C@@H]2O 674858
C[C@]12CC[C@H]3[C@@H](CC[C@H]4NC(=O)C=C[C@]34C)[C@@H]1CC[C@@H]2C(=O)Nc5cc(ccc5C(F)(F)F)C(F)(F)F 674920
C[C@]12C[C@H](O)[C@@]3(F)[C@@H](CCC4=CC(=O)C=C[C@]34C)[C@@H]1C[C@@H](O)[C@]2(O)C(=O)CO 381691
C[C@]12C[C@H](O)[C@H]3[C@@H](CCC4=CC(=O)C=C[C@]34C)[C@@H]1CC[C@]2(O)C(=O)CO 27370
C[C@]12C[C@H](O)[C@H]3[C@@H](CCC4=CC(=O)C=C[C@]34C)[C@@H]1CC[C@]2(O)C(=O)COP(=O)(O)O 675182
C[C@]12C[C@H](O)[C@H]3[C@@H](C[C@H](F)C4=CC(=O)C=C[C@]34C)[C@@H]1CC[C@]2(O)C(=O)CO 674725
C[N+](C)(C)CC(=O)O 160056
C[N+](C)(C)C[C@H](O)CC(=O)[O-] 181939
C[N+]1(C)CCC(=C(c2ccccc2)c3ccccc3)CC1 675291
C[N+]1(C)CCC(C1)OC(=O)C(O)(C2CCCC2)c3ccccc3 675286
C[N+]1(C)CCCC(C1)OC(=O)C(O)(c2ccccc2)c3ccccc3 469580
C[N+]1(C)CCN(CC(O)(C2CCCCC2)c3ccccc3)CC1 675276
C[N+]1(C)[C@@H]2CC[C@H]1C[C@H](C2)OC(=O)C(O)c3ccccc3 675186
C[N+]1(C)[C@H]2C[C@@H](C[C@H]1[C@H]3O[C@@H]23)OC(=O)[C@H](CO)c4ccccc4 675219
C[N+]1(CC2CC2)CC[C@]34[C@H]5Oc6c(O)ccc(C[C@@H]1[C@]3(O)CCC5=O)c46 660529
C[N+]12CCC(CC1)C(C2)OC(=O)C(O)(c3ccccc3)c4ccccc4 26351
C[n+]1ccccc1C=NO 359778
C[S+]([O-])c1ccc(\C=C/2\C(=C(CC(=O)O)c3cc(F)ccc23)C)cc1 16510
C\C(=C(/C#N)\C(=O)Nc1ccc(cc1)C(F)(F)F)\O 96107
C\C(=C/C=C/C(=C/C(=O)O)/C)\C=C\C1=C(C)CCCC1(C)C 2208
C\C(=C\C(=O)O)\C=C\C=C(/C)\C=C\C1=C(C)CCCC1(C)C 13928
FC(F)(F)C(F)(F)C(F)(F)C(F)(F)C(F)(F)C(F)(F)C(F)(F)C(F)(F)Br 674817
FC(F)(F)c1cccc(c1)N2CCN(CCN3C(=O)Nc4ccccc34)CC2 388819
FC(F)(F)CN1C(=O)CN=C(c2ccccc2)c3cc(Cl)ccc13 95970
FC(F)(F)CNC(=O)C1(CCCCN2CCC(CC2)NC(=O)c3ccccc3c4ccc(cc4)C(F)(F)F)c5ccccc5c6ccccc16 282991
FC(F)(F)COc1ccc(OCC(F)(F)F)c(c1)C(=O)NCC2CCCCN2 27588
FC(F)(F)[C@]1(OC(=O)Nc2ccc(Cl)cc12)C#CC3CC3 374719
FC(F)Oc1ccc(cc1OCC2CC2)C(=O)Nc3c(Cl)cncc3Cl 321696
Fc1ccc(cc1)C(CCCN2CCC(CC2)N3C(=O)Nc4ccccc34)c5ccc(F)cc5 364141
Fc1ccc(cc1)[C@@H]2CCNC[C@H]2COc3ccc4OCOc4c3 6643
Fc1ccc(CC2=NNC(=O)c3ccccc23)cc1C(=O)N4CCN(CC4)C(=O)C5CC5 469866
Fc1ccccc1C2=NCC(=S)N(CC(F)(F)F)c3ccc(Cl)cc23 674423
N#Cc1ccc(cc1)C(c2ccc(cc2)C#N)n3cncn3 374548
N#CC[C@H](C1CCCC1)n2cc(cn2)c3ncnc4[nH]ccc34 1153572
NC(=N)N 56752
NC(=N)NC(=O)c1nc(Cl)c(N)nc1N 89526
NC(=N)NC(=O)Cc1c(Cl)cccc1Cl 66029
NC(=N)Nc1nc(CSCCC(=N)NS(=O)(=O)N)cs1 78303
NC(=N)NCC1COC2(CCCCC2)O1 123976
NC(=N)NCC1COC2(CCCCC2)O1.OS(=O)(=O)O 674545
NC(=N)NCCN1CCCCCCC1 43086
NC(=N)NCCN1CCCCCCC1.OS(=O)(=O)O 289505
NC(=N)N\N=C\c1c(Cl)cccc1Cl 1202
NC(=O)C([C@@H]1CCN(CCc2ccc3OCCc3c2)C1)(c4ccccc4)c5ccccc5 291960
NC(=O)c1cn(Cc2c(F)cccc2F)nn1 675705
NC(=O)c1cnccn1 23522
NC(=O)c1ncn(n1)[C@@H]2O[C@H](CO)[C@@H](O)[C@H]2O 485738
NC(=O)c1oc2ccc(cc2c1)N3CCN(CCCCc4c[nH]c5ccc(cc45)C#N)CC3 312971
NC(=O)C[S+]([O-])C(c1ccccc1)c2ccccc2 317124
NC(=O)C[S+]([O-])C(c1ccccc1)c2ccccc2 675143
NC(=O)N 102073
NC(=O)N1c2ccccc2C=Cc3ccccc13 15086
NC(=O)N1c2ccccc2CC(=O)c3ccccc13 139014
NC(=O)NC(=O)Cc1ccccc1 83000
NC(=O)NO 4730
NC(=O)N[C@@H](CCC(=O)O)C(=O)O 675731
NC(=O)OC1(CCCCC1)C#C 453538
NC(=O)OCC(COC(=O)N)c1ccccc1 150451
NC(=O)OCC(O)COc1ccc(Cl)cc1 604618
NC(CCC(=O)O)C=C 141484
NC(CO)(CO)CO.OC(=O)C1CCn2c1ccc2C(=O)c3ccccc3 675075
NC12CC3CC(CC(C3)C1)C2 27647
NC1=C(F)C=NC(=O)N1 393942
NC1=NC(=O)C(O1)c2ccccc2 193096
NC1=NC(=O)C2=C(NCC(CNc3ccc(cc3)C(=O)N[C@@H](CCC(=O)O)C(=O)O)N2C=O)N1 510462
NC1=NC(=O)N(C=C1)[C@@H]2CS[C@H](CO)O2 33986
NC1=NC(=O)N(C=C1)[C@H]2CC[C@@H](CO)O2 65494
NC1=NC(=O)N(C=C1F)[C@@H]2CS[C@H](CO)O2 74911
NC1=Nc2c(ncn2[C@H]3C[C@H](O)[C@@H](CO)C3=C)C(=O)N1 33889
NC1=Nc2[nH]cnc2C(=S)N1 36864
Nc1c2CCCCc2nc3ccccc13 9333
Nc1cc(nc(N)[n+]1[O-])N2CCCCC2 51042
NC1CC1c2ccccc2 131607
NC1CC1c2ccccc2.NC3CC3c4ccccc4.OS(=O)(=O)O 1449160
Nc1ccc(C(=O)O)c(O)c1 190484
Nc1ccc(C(=O)Oc2ccccc2)c(O)c1 674819
Nc1ccc(cc1)S(=O)(=O)c2ccc(N)cc2 126356
Nc1ccc(cc1)S(=O)(=O)Nc2ccccn2 32842
Nc1ccc(cc1)S(=O)(=O)Nc2ccnn2c3ccccc3 153330
Nc1ccc(cc1)S(=O)(=O)Nc2ncccn2 2131
Nc1ccc(N=Nc2ccccc2)c(N)n1 231062
Nc1ccc(O)c(c1)C(=O)O 33202
Nc1cccc2C(=O)N(C3CCC(=O)NC3=O)C(=O)c12 63100
Nc1cccc2C(=O)N(Cc12)C3CCC(=O)NC3=O 63649
Nc1ccncc1 31289
Nc1nc(CC(=O)Nc2ccc(CCNC[C@H](O)c3ccccc3)cc2)cs1 1369608
Nc1nc(cs1)\C(=C\CC(=O)O)\C(=O)N[C@H]2[C@H]3SCC=C(N3C2=O)C(=O)O 454578
Nc1nc(cs1)\C(=N\O)\C(=O)N[C@H]2[C@H]3SCC(=C(N3C2=O)C(=O)O)C=C 84624
Nc1nc(cs1)\C(=N\OCC(=O)O)\C(=O)N[C@H]2[C@H]3SCC(=C(N3C2=O)C(=O)O)C=C 430642
Nc1nc(F)nc2c1ncn2[C@@H]3O[C@H](COP(=O)(O)O)[C@@H](O)[C@@H]3O 624161
Nc1nc(N)c2nc(c(N)nc2n1)c3ccccc3 17411
Nc1nc(NC2CC2)c3ncn([C@@H]4C[C@H](CO)C=C4)c3n1 321707
Nc1nc(NC2CC2)c3ncn([C@@H]4C[C@H](CO)C=C4)c3n1.OS(=O)(=O)O 674570
Nc1nc(O)c2ncn(COC(CO)CO)c2n1 365284
Nc1nc(O)c2ncn(COCCO)c2n1 365538
Nc1nc2ccc(OC(F)(F)F)cc2s1 38898
Nc1ncnc2c1c(nn2[C@@H]3CCCN(C3)C(=O)C=C)c4ccc(Oc5ccccc5)cc4 1214046
Nc1nnc(c(N)n1)c2cccc(Cl)c2Cl 38727
NCC(CC(=O)O)c1ccc(Cl)cc1 32869
NCC1(CC(=O)O)CCCCC1 88316
NCC=C.ClCC1CO1 675749
NCCCC(O)(P(=O)(O)O)P(=O)(O)O 70674
NCCCCCC(=O)O 127755
NCCCC[C@H](N[C@@H](CCc1ccccc1)C(=O)O)C(=O)N2CCC[C@H]2C(=O)O 230659
NCCNCCNCCN 22956
NCCS 21036
NCCS.OC(C(O)C(=O)O)C(=O)O 1355854
NC[C@@H]1CC[C@H](CC1)C(=O)O 73547
NC[C@@H]1O[C@H](O[C@H]2[C@@H](O)[C@H](O[C@@H]3[C@@H](O)[C@H](N)C[C@H](N)[C@H]3O[C@H]4O[C@H](CN)[C@@H](O)[C@H](O)[C@H]4N)O[C@@H]2CO)[C@H](N)[C@@H](O)[C@@H]1O 312304
NC[C@@H]1O[C@H](O[C@H]2[C@@H](O)[C@H](O[C@@H]3[C@@H](O)[C@H](N)C[C@H](N)[C@H]3O[C@H]4O[C@H](CN)[C@@H](O)[C@H](O)[C@H]4N)O[C@@H]2CO)[C@H](N)[C@@H](O)[C@@H]1O.OS(=O)(=O)O 711939
NC[C@@H]1O[C@H](O[C@H]2[C@@H](O)[C@H](O[C@@H]3[C@@H](O)[C@H](N)C[C@H](N)[C@H]3O[C@H]4O[C@H](CO)[C@@H](O)[C@H](O)[C@H]4N)O[C@@H]2CO)[C@H](N)[C@@H](O)[C@@H]1O 325236
NC[C@@H]1O[C@H](O[C@H]2[C@@H](O)[C@H](O[C@@H]3[C@@H](O)[C@H](N)C[C@H](N)[C@H]3O[C@H]4O[C@H](CO)[C@@H](O)[C@H](O)[C@H]4N)O[C@@H]2CO)[C@H](N)[C@@H](O)[C@@H]1O.OS(=O)(=O)O 1445828
NC[C@H]1O[C@H](O[C@@H]2[C@@H](N)C[C@@H](N)[C@H](O[C@H]3O[C@H](CO)[C@@H](O)[C@H](N)[C@H]3O)[C@H]2O)[C@H](O)[C@@H](O)[C@@H]1O 325239
NC[C@H]1O[C@H](O[C@@H]2[C@@H](N)C[C@@H](N)[C@H](O[C@H]3O[C@H](CO)[C@@H](O)[C@H](N)[C@H]3O)[C@H]2O)[C@H](O)[C@@H](O)[C@@H]1O.OS(=O)(=O)O 378124
NNC(=O)c1ccncc1 4941
NNc1nncc2ccccc12 8788
NNCCc1ccccc1 148018
NNCCc1ccccc1.OS(=O)(=O)O 674846
NS(=O)(=O)c1cc(C(=O)O)c(NCc2occc2)cc1Cl 2046
NS(=O)(=O)c1cc(ccc1Cl)C2(O)NC(=O)c3ccccc23 134333
NS(=O)(=O)c1cc(Cl)c(Cl)c(c1)S(=O)(=O)N 1085
NS(=O)(=O)c1cc2c(cc1Cl)N=C(CSCc3ccccc3)NS2(=O)=O 674990
NS(=O)(=O)c1cc2c(cc1Cl)N=CNS2(=O)=O 62615
NS(=O)(=O)c1cc2c(NC(Cc3ccccc3)NS2(=O)=O)cc1C(F)(F)F 515239
NS(=O)(=O)c1cc2c(NC(NS2(=O)=O)C(Cl)Cl)cc1Cl 134100
NS(=O)(=O)c1cc2c(NC(NS2(=O)=O)C3CC4CC3C=C4)cc1Cl 92458
NS(=O)(=O)c1cc2c(NCNS2(=O)=O)cc1C(F)(F)F 583522
NS(=O)(=O)c1cc2c(NCNS2(=O)=O)cc1Cl 2045
N[13C](=O)N 1369657
N[14C](=O)N 1369644
N[C@@H](C(=O)N[C@H]1[C@H]2CCC(=C(N2C1=O)C(=O)O)Cl)c3ccccc3 114480
N[C@@H](C(=O)N[C@H]1[C@H]2SCC(=C(N2C1=O)C(=O)O)Cl)c3ccccc3 29005
N[C@@H](CC(=O)N1CCn2c(C1)nnc2C(F)(F)F)Cc3cc(F)c(F)cc3F 363589
N[C@@H](Cc1cc(I)c(Oc2cc(I)c(O)c(I)c2)c(I)c1)C(=O)O 469690
N[C@@H](Cc1cc(I)c(Oc2ccc(O)c(I)c2)c(I)c1)C(=O)O 433015
N[C@@H](Cc1ccc(cc1)N(CCCl)CCCl)C(=O)O 65415
N[C@@H](Cc1ccc(O)c(O)c1)C(=O)O 112655
N[C@@H](CCC(=O)N)C(=O)O 85305
N[C@@H]([C@H](O)c1ccc(O)c(O)c1)C(=O)O 1376097
N[C@@H]1CONC1=O 43740
N[C@@H]1[C@H]2CN(C[C@@H]12)c3nc4N(C=C(C(=O)O)C(=O)c4cc3F)c5ccc(F)cc5F 1616
N[C@H](C(=O)N1[C@@H](C[C@@H]2C[C@H]12)C#N)C34CC5CC(CC(O)(C5)C3)C4 360723
N[C@H](Cc1cc(I)c(Oc2cc(I)c(O)c(I)c2)c(I)c1)C(=O)O 15990
O.Br.COc1ccc2C[C@H]3[C@H]4CCCC[C@@]4(CCN3C)c2c1 705811
O.CC(N\C(=N/C#N)\Nc1ccncc1)C(C)(C)C 674289
O.CC1=C(N2[C@H](SC1)[C@H](NC(=O)[C@H](N)c3ccccc3)C2=O)C(=O)O 674495
O.Cc1ccc(cc1)S(=O)(=O)O.Cc2ccc(cc2)S(=O)(=O)O.CS(=O)(=O)CCNCc3oc(cc3)c4ccc5ncnc(Nc6ccc(OCc7cccc(F)c7)c(Cl)c6)c5c4 675130
O.Cc1ccc(cc1Cc2ccc(s2)c3ccc(F)cc3)[C@@H]4O[C@H](CO)[C@@H](O)[C@H](O)[C@H]4O.Cc5ccc(cc5Cc6ccc(s6)c7ccc(F)cc7)[C@@H]8O[C@H](CO)[C@@H](O)[C@H](O)[C@H]8O 1376111
O.CC=CC1=C(N2[C@H](SC1)[C@H](NC(=O)[C@H](N)c3ccc(O)cc3)C2=O)C(=O)O 1674197
O.CCOc1ccc(Cc2cc(ccc2Cl)[C@@H]3O[C@H](CO)[C@@H](O)[C@H](O)[C@H]3O)cc1.C[C@H](O)CO 1376072
O.Cl.CC(C)COCC(CN(Cc1ccccc1)c2ccccc2)N3CCCC3 674333
O.Cl.CC1=C(N2[C@H](SC1)[C@H](NC(=O)[C@H](N)c3ccccc3)C2=O)C(=O)O 674317
O.Cl.Cc1cccc(CN2CCN(CC2)C(c3ccccc3)c4ccc(Cl)cc4)c1 674541
O.Cl.Cc1cn(cn1)c2cc(NC(=O)c3ccc(C)c(Nc4nccc(n4)c5cccnc5)c3)cc(c2)C(F)(F)F 675691
O.Cl.CC1OC2(CS1)CN3CCC2CC3 1449190
O.Cl.CCN(CC)CC(=O)Nc1c(C)cccc1C 674360
O.Cl.CCN(CC)CCNC(=O)c1cc(Cl)c(N)cc1OC 674891
O.Cl.CCO.C[C@@H]1[C@H]2[C@H](O)[C@H]3[C@H](N(C)C)C(=C(C(=O)N)C(=O)[C@@]3(O)C(=C2C(=O)c4c(O)cccc14)O)O 674518
O.Cl.CN1CCCC(CC2c3ccccc3Sc4ccccc24)C1 674377
O.Cl.COc1cc2nc(nc(N)c2cc1OC)N3CCN(CC3)C(=O)C4CCCO4 675042
O.Cl.C[C@@H](OC[C@]1(CC[C@]2(CCC(=O)N2)CN1)c3ccccc3)c4cc(cc(c4)C(F)(F)F)C(F)(F)F 2039301
O.ClCCN(CCCl)P1(=O)NCCCO1 674747
O.COc1ccc2C[C@@H]3[C@@H]4C=C[C@H](O)[C@@H]5Oc1c2[C@]45CCN3C.OP(=O)(O)O 675050
O.COC1CN(CCCOc2ccc(F)cc2)CCC1NC(=O)c3cc(Cl)c(N)cc3OC 674739
O.CS(=O)(=O)O.O=C(O[C@@H]1C[C@@H]2C[C@H]3C[C@H](C1)N2CC3=O)c4c[nH]c5ccccc45 1543375
O.C[C@@H]1[C@H]2[C@H](O)[C@H]3[C@H](N(C)C)C(=C(C(=O)N)C(=O)[C@@]3(O)C(=C2C(=O)c4c(O)cccc14)O)O 674650
O.C[C@@](Cc1ccc(O)c(O)c1)(NN)C(=O)O 674699
O.C[C@H](CCCC(C)(C)O)[C@H]1CC[C@H]2\C(=C\C=C/3\C[C@@H](O)CCC3=C)\CCC[C@]12C 1926758
O.NCCCC[C@H](N[C@@H](CCc1ccccc1)C(=O)O)C(=O)N2CCC[C@H]2C(=O)O 1110310
O.N[C@@H](C(=O)N[C@H]1[C@H]2CCC(=C(N2C1=O)C(=O)O)Cl)c3ccccc3 674561
O.N[C@@H](C(=O)N[C@H]1[C@H]2SCC(=C(N2C1=O)C(=O)O)Cl)c3ccccc3 674969
O.N[C@@H](CC(=O)N1CCn2c(C1)nnc2C(F)(F)F)Cc3cc(F)c(F)cc3F.OP(=O)(O)O 675125
O.O.Cl.NC(=N)NC(=O)c1nc(Cl)c(N)nc1N 822010
O.O.COc1ccc2nccc([C@@H](O)[C@@H]3C[C@@H]4CCN3C[C@@H]4C=C)c2c1.COc5ccc6nccc([C@@H](O)[C@@H]7C[C@@H]8CCN7C[C@@H]8C=C)c6c5.OS(=O)(=O)O 1537155
O.O.COc1ccc2nccc([C@H](O)[C@H]3C[C@@H]4CCN3C[C@@H]4C=C)c2c1.COc5ccc6nccc([C@H](O)[C@H]7C[C@@H]8CCN7C[C@@H]8C=C)c6c5.OS(=O)(=O)O 2039153
O.O.O.O.O.CN1CC[C@]23[C@H]4Oc5c(O)ccc(C[C@@H]1[C@@H]2C=C[C@@H]4O)c35.CN6CC[C@]78[C@H]9Oc%10c(O)ccc(C[C@@H]6[C@@H]7C=C[C@@H]9O)c8%10.OS(=O)(=O)O 1376014
O.O.O.O.[Sr+2].COc1ccc2[n-]c(nc2c1)[S+]([O-])Cc3ncc(C)c(OC)c3C.COc4ccc5[n-]c(nc5c4)[S+]([O-])Cc6ncc(C)c(OC)c6C 1418091
O.O.[Ca+2].CC(C(=O)[O-])c1cccc(Oc2ccccc2)c1.CC(C(=O)[O-])c3cccc(Oc4ccccc4)c3 1376006
O.O.[Na+].Nc1ccc(C(=O)[O-])c(O)c1 1369655
O.OC[C@H]1O[C@@H](O[C@@H]2[C@@H](CO)O[C@](O)(CO)[C@H]2O)[C@H](O)[C@@H](O)[C@H]1O 699419
O.Sc1ncnc2nc[nH]c12 674702
O.[Mg+2].[O-]S(=O)(=O)[O-] 674407
O.[Na+].Cc1onc(c1C(=O)N[C@H]2[C@H]3SC(C)(C)[C@@H](N3C2=O)C(=O)[O-])c4c(Cl)cccc4Cl 674652
O.[Na+].Cc1onc(c2ccccc2Cl)c1C(=O)N[C@H]3[C@H]4SC(C)(C)[C@@H](N4C3=O)C(=O)[O-] 674339
O.[Na+].COc1c(cc(cc1C(C)(C)C)N2C=CC(=O)[N-]C2=O)c3ccc4cc(NS(=O)(=O)C)ccc4c3 1926834
O.[Na+].N[C@@H](Cc1cc(I)c(Oc2cc(I)c(O)c(I)c2)c(I)c1)C(=O)[O-] 1376011
O.[Na+].N[C@H](Cc1cc(I)c(Oc2cc(I)c(O)c(I)c2)c(I)c1)C(=O)[O-] 1926907
O=C(C1CCCCC1)N2CC3N(CCc4ccccc34)C(=O)C2 99024
O=C(CCCc1ccccc1)OCC(COC(=O)CCCc2ccccc2)OC(=O)CCCc3ccccc3 1378015
O=C(O[C@@H]1C[C@@H]2C[C@H]3C[C@H](C1)N2CC3=O)c4c[nH]c5ccccc45 1543376
O=C(O[C@H]1CN2CCC1CC2)N3CCc4ccccc4[C@@H]3c5ccccc5 561914
O=C1C(C(=O)c2ccccc12)c3ccccc3 33727
O=C1CC2(CCCC2)CC(=O)N1CCCCN3CCN(CC3)c4ncccn4 3599
O=C1CCC(N2C(=O)c3ccccc3C2=O)C(=O)N1 5028
O=C1CCc2cc(OCCCCc3nnnn3C4CCCCC4)ccc2N1 50440
O=C1N(C=C(C=C1c2ccccc2C#N)c3ccccn3)c4ccccc4 685974
O=C1N(C[C@H]2CCCc3cccc1c23)[C@@H]4CN5CCC4CC5 663629
O=C1Nc2cc(OCCCCN3CCN(CC3)c4cccc5sccc45)ccc2C=C1 1378030
O=C1NC=Nc2[nH]ncc12 395607
O=C1[C@@H]2[C@H]3CC[C@H](C3)[C@@H]2C(=O)N1C[C@@H]4CCCC[C@H]4CN5CCN(CC5)c6nsc7ccccc67 699372
O=[Mg] 674523
OC(=O)C1(CCN(CCC(C#N)(c2ccccc2)c3ccccc3)CC1)c4ccccc4 675272
OC(=O)C1=CN(C2CC2)c3cc(N4CCNCC4)c(F)cc3C1=O 241
OC(=O)c1cc(ccc1O)c2ccc(F)cc2F 77652
OC(=O)c1cc(ccc1O)N=Nc2ccc(cc2)S(=O)(=O)Nc3ccccn3 1223
OC(=O)c1cc(ccc1O)N=Nc2ccc(O)c(c2)C(=O)O 1369
OC(=O)c1ccc(cc1)n2nc(nc2c3ccccc3O)c4ccccc4O 564990
OC(=O)c1ccc(NC(=O)[C@H](Cc2ccc(O)cc2)NC(=O)c3ccccc3)cc1 674319
OC(=O)C1CCn2c1ccc2C(=O)c3ccccc3 5080
OC(=O)C1N=C(c2ccccc2)c3cc(Cl)ccc3NC1=O 685093
OC(=O)CC(O)(CC(=O)O)C(=O)O 240769
OC(=O)CC(O)(CC(=O)O)C(=O)O.C1CNCCN1 674793
OC(=O)Cc1ccccc1Nc2c(Cl)cccc2Cl 29890
OC(=O)CCC(=O)O.O=C(O[C@H]1CN2CCC1CC2)N3CCc4ccccc4[C@@H]3c5ccccc5 674754
OC(=O)CCc1oc(c2ccccc2)c(n1)c3ccccc3 139225
OC(=O)CCCc1ccc(cc1)N(CCCl)CCCl 11002
OC(=O)CCCc1ccccc1 397873
OC(=O)CCNC(=O)c1ccc(cc1)N=Nc2ccc(O)c(c2)C(=O)O 675297
OC(=O)CNC(=O)c1ccccc1.C2N3CN4CN(CN2C4)C3 675055
OC(=O)COCCN1CCN(CC1)C(c2ccccc2)c3ccc(Cl)cc3 111185
OC(=O)COCCN1CCN(CC1)[C@H](c2ccccc2)c3ccc(Cl)cc3 675142
OC(=O)CSc1nnc(Br)n1c2ccc(C3CC3)c4ccccc24 1377990
OC(=O)[C@H](S)[C@H](S)C(=O)O 675024
OC(=O)\C=C\C(=O)O.OC1(CN(C1)C(=O)c2ccc(F)c(F)c2Nc3ccc(I)cc3F)[C@@H]4CCCCN4.OC5(CN(C5)C(=O)c6ccc(F)c(F)c6Nc7ccc(I)cc7F)[C@@H]8CCCCN8 1540479
OC(C(=O)O[C@H]1C[C@H]2CC[C@@H](C1)[N+]23CCCC3)(c4ccccc4)c5ccccc5 1228747
OC(C(O)C(=O)O)C(=O)O.C1NCC2CC1c3cc4nccnc4cc23 1355850
OC(C1CCCCN1)c2cc(nc3c(cccc23)C(F)(F)F)C(F)(F)F 51162
OC(Cc1cccnc1)(P(=O)(O)O)P(=O)(O)O 83772
OC(CCCN1CCCCC1)(c2ccccc2)c3ccccc3 86466
OC(CCN1CCCC1)(C2CCCCC2)c3ccccc3 139241
OC(CCN1CCCCC1)(C2CC3CC2C=C3)c4ccccc4 151063
OC(CCN1CCCCC1)(C2CCCC2)c3ccccc3 675178
OC(CCN1CCCCC1)(C2CCCCC2)c3ccccc3 418411
OC(Cn1cncn1)(Cn2cncn2)c3ccc(F)cc3F 13758
OC(CNCC(O)C1CCc2cc(F)ccc2O1)C3CCc4cc(F)ccc4O3 27569
OC(COc1cccc2OC(=CC(=O)c12)C(=O)O)COc3cccc4OC(=CC(=O)c34)C(=O)O 7725
OC1(CCN(CCCC(=O)c2ccc(F)cc2)CC1)c3ccc(Cl)cc3 3859
OC1(CN(C1)C(=O)c2ccc(F)c(F)c2Nc3ccc(I)cc3F)[C@@H]4CCCCN4 1420377
OC1(N2CCN=C2c3ccccc13)c4ccc(Cl)cc4 46385
OC1=C(CC2=C(O)c3ccccc3OC2=O)C(=O)Oc4ccccc14 394231
OC1=C([C@@H]2CC[C@H](CC2)c3ccc(Cl)cc3)C(=O)c4ccccc4C1=O 378315
OC1=NC(=O)C(N1)(c2ccccc2)c3ccccc3 921
Oc1ccc(cc1)c2sc3cc(O)ccc3c2C(=O)c4ccc(OCCN5CCCCC5)cc4 6914
Oc1ccc(Cl)cc1C(=O)Nc2ccc(cc2Cl)[N+](=O)[O-] 378218
Oc1ccc2C[C@H]3N(CC4CC4)CC[C@@]56[C@@H](Oc1c25)C(=O)CC[C@@]36O 21459
Oc1ccc2C[C@H]3N(CC=C)CC[C@@]45[C@@H](Oc1c24)C(=O)CC[C@@]35O 6902
OC1N=C(c2ccccc2)c3cc(Cl)ccc3NC1=O 16506
OC1N=C(c2ccccc2Cl)c3cc(Cl)ccc3NC1=O 16959
OCCCC(=O)O 286065
OCCN(CCO)c1nc(N2CCCCC2)c3nc(nc(N4CCCCC4)c3n1)N(CCO)CCO 86042
OCCN1CCN(CCCN2c3ccccc3Sc4ccc(cc24)C(F)(F)F)CC1 36842
OCCN1CCN(CCCN2c3ccccc3Sc4ccc(Cl)cc24)CC1 16505
OCCN1C[C@H](O)[C@@H](O)[C@H](O)[C@H]1CO 445681
OCCOc1ccc(cc1)\C(=C(\CCCl)/c2ccccc2)\c3ccccc3 1377665
OCCOCCN1CCN(CC1)C(c2ccccc2)c3ccc(Cl)cc3 77459
OCCOCCN1CCN(CC1)C(c2ccccc2)c3ccc(Cl)cc3.OC(=O)c4cc5ccccc5c(Cc6c(O)c(cc7ccccc67)C(=O)O)c4O 674418
OCCOCCN1CCN(CC1)C2=Nc3ccccc3Sc4ccccc24 34234
OCCOCCN1CCN(CC1)C2=Nc3ccccc3Sc4ccccc24.OC(=O)\C=C\C(=O)O 674862
OC[C@@H](NC(=O)C(Cl)Cl)[C@H](O)c1ccc(cc1)[N+](=O)[O-] 27340
OC[C@@H]1CC[C@@H](O1)n2cnc3C(=O)NC=Nc23 390877
OC[C@H](O)[C@H]1OC(=O)C(=C1O)O 443348
OC[C@H]1O[C@@H](O[C@@H]2[C@@H](CO)O[C@](O)(CO)[C@H]2O)[C@H](O)[C@@H](O)[C@H]1O 76538
OC[C@H]1O[C@H](C[C@@H]1O)N2C=C(C(=O)NC2=O)C(F)(F)F 169321
OC[C@H]1O[C@H]([C@H](O)[C@@H](O)[C@@H]1O)c2ccc(Cl)c(Cc3ccc(O[C@H]4CCOC4)cc3)c2 1380100
OC\C=C\1/O[C@@H]2CC(=O)N2[C@H]1C(=O)O 44876
ONC(=O)CCCCCCC(=O)Nc1ccccc1 11305
OP(=O)(O)C(Sc1ccc(Cl)cc1)P(=O)(O)O 299299
OP(=O)(O)O.N#CC[C@H](C1CCCC1)n2cc(cn2)c3ncnc4[nH]ccc34 1158402
OP(=O)(O)OCC(Cl)(Cl)Cl 675268
OS(=N)(=O)Cc1noc2ccccc12 39857
OS(=O)(=O)CCS 624467
OS(=O)(=O)Oc1ccc(cc1)C(c2ccc(OS(=O)(=O)O)cc2)c3ccccn3 1120185
OS(=O)CNc1ccc(cc1)S(=O)(=O)c2ccc(NCS(=O)O)cc2 453043
O[C@@H](CC[C@@H]1[C@H](N(C1=O)c2ccc(F)cc2)c3ccc(O)cc3)c4ccc(F)cc4 175106
O[C@@H]([C@H](O)C(=O)O)C(=O)O 674812
O[C@@H]1CO[C@@H]2[C@@H](O)CO[C@H]12 674611
O[C@H](C[C@H](O)\C=C\c1c(nc2ccccc2c1c3ccc(F)cc3)C4CC4)CC(=O)O 675704
O[C@H]1CO[C@@H]2[C@@H](CO[C@H]12)O[N+](=O)[O-] 263453
Sc1ncnc2nc[nH]c12 364693
[Ba+2].[O-]S(=O)(=O)[O-] 1378167
[Bi+3].CNC(=C[N+](=O)[O-])NCCSCc1oc(CN(C)C)cc1.OC(CC(=O)[O-])(CC(=O)[O-])C(=O)[O-] 1383722
[Br-].CC(C)[N+](C)(CCOC(=O)C1c2ccccc2Oc3ccccc13)C(C)C 230999
[Br-].CCCC(CCC)C(=O)O[C@H]1C[C@H]2CC[C@@H](C1)[N+]2(C)C 453573
[Br-].CC[N+](C)(CC)CCOC(=O)C(O)(C1CCCCC1)c2ccccc2 674857
[Br-].CC[N+](C)(CC)CCOC(=O)C1c2ccccc2Oc3ccccc13 674939
[Br-].CN(C)C(=O)Oc1ccc[n+](C)c1 54149
[Br-].C[N+]1(C)CCC(C1)OC(=O)C(O)(C2CCCC2)c3ccccc3 674978
[Br-].C[N+]1(C)CCCC(C1)OC(=O)C(O)(c2ccccc2)c3ccccc3 554127
[Br-].C[N+]1(C)[C@@H]2CC[C@H]1C[C@H](C2)OC(=O)C(O)c3ccccc3 674802
[Br-].C[N+]1(C)[C@H]2C[C@@H](C[C@H]1[C@H]3O[C@@H]23)OC(=O)[C@H](CO)c4ccccc4 674975
[Br-].C[N+]1(CC2CC2)CC[C@]34[C@H]5Oc6c(O)ccc(C[C@@H]1[C@]3(O)CCC5=O)c46 675721
[Br-].C[N+]12CCC(CC1)C(C2)OC(=O)C(O)(c3ccccc3)c4ccccc4 674901
[Ca+2].CC(=O)NCCCS(=O)(=O)[O-].CC(=O)NCCCS(=O)(=O)[O-] 1359038
[Ca+2].CC(=O)[O-].CC(=O)[O-] 674751
[Ca+2].CC(C)c1c(C(=O)Nc2ccccc2)c(c3ccccc3)c(c4ccc(F)cc4)n1CC[C@@H](O)C[C@@H](O)CC(=O)[O-].CC(C)c5c(C(=O)Nc6ccccc6)c(c7ccccc7)c(c8ccc(F)cc8)n5CC[C@@H](O)C[C@@H](O)CC(=O)[O-] 407354
[Ca+2].CC(C)c1nc(nc(c1\C=C\[C@@H](O)C[C@@H](O)CC(=O)[O-])c2ccc(F)cc2)N(C)S(=O)(=O)C.CC(C)c3nc(nc(c3\C=C\[C@@H](O)C[C@@H](O)CC(=O)[O-])c4ccc(F)cc4)N(C)S(=O)(=O)C 1123018
[Ca+2].CC(C)CN(C[C@@H](OP(=O)([O-])[O-])[C@H](Cc1ccccc1)NC(=O)O[C@H]2CCOC2)S(=O)(=O)c3ccc(N)cc3 674685
[Ca+2].CN(C)[C@H]1[C@@H]2[C@@H](O)[C@H]3C(=C(O)[C@]2(O)C(=O)C(=C1[O-])C(=O)N)C(=O)c4c([O-])cccc4[C@@]3(C)O 1359041
[Ca+2].CN1[C@@H](CNc2ccc(cc2)C(=O)N[C@@H](CCC(=O)[O-])C(=O)[O-])CNC3=C1C(=O)N=C(N)N3 1038354
[Ca+2].C[C@@H]1[C@H]2[C@H](O)[C@H]3[C@H](N(C)C)C(=C(C(=O)N)C(=O)[C@@]3(O)C(=C2C(=O)c4c([O-])cccc14)O)O.C[C@@H]5[C@H]6[C@H](O)[C@H]7[C@H](N(C)C)C(=C(C(=O)N)C(=O)[C@@]7(O)C(=C6C(=O)c8c([O-])cccc58)O)O 1540465
[Ca+2].Nc1nc(O)c2N(C=O)C(CNc3ccc(cc3)C(=O)N[C@@H](CCC(=O)[O-])C(=O)[O-])CNc2n1 675089
[Ca+2].O[C@H](C[C@H](O)\C=C\c1c(nc2ccccc2c1c3ccc(F)cc3)C4CC4)CC(=O)[O-].O[C@H](C[C@H](O)\C=C\c5c(nc6ccccc6c5c7ccc(F)cc7)C8CC8)CC(=O)[O-] 699412
[Ca+2].[O-]C(=O)[O-] 674490
[Cl-].CC(C[N+](C)(C)C)OC(=O)N 594843
[Cl-].CC[N+](CC)(CC)CCC(O)(C1CCCCC1)c2ccccc2 674722
[Cl-].C[N+](C)(C)CC(=O)O 675081
[Cl-].C[n+]1ccccc1\C=N\O 39624
[Cl-].OC(C(=O)O[C@H]1C[C@H]2CC[C@@H](C1)[N+]23CCCC3)(c4ccccc4)c5ccccc5 1594639
[Cl-].[Cl-].CC[N+](CC)(CCNC(=O)C(=O)NCC[N+](CC)(CC)Cc1ccccc1Cl)Cc2ccccc2Cl 674492
[I-].CC(C)[N+](C)(CCC(C(=O)N)(c1ccccc1)c2ccccc2)C(C)C 674298
[K+].CC(=O)CC(C1=C([O-])c2ccccc2OC1=O)c3ccccc3 674723
[K+].CC1(C)S[C@@H]2[C@H](N3C(=O)[C@H](NC3(C)C)c4ccccc4)C(=O)N2[C@H]1C(=O)[O-] 675072
[K+].CC1(C)S[C@@H]2[C@H](NC(=O)Cc3ccccc3)C(=O)N2[C@H]1C(=O)[O-] 226400
[K+].CC1(C)S[C@@H]2[C@H](NC(=O)COc3ccccc3)C(=O)N2[C@H]1C(=O)[O-] 674803
[K+].CCCCc1nc(Cl)c(CO)n1Cc2ccc(cc2)c3ccccc3c4nn[n-]n4 109797
[K+].CCOc1nc2cccc(C(=O)OCC3=C(C)OC(=O)O3)c2n1Cc4ccc(cc4)c5ccccc5C6=NOC(=O)[N-]6 1376065
[K+].CN1C(=O)C(=C(N=C1C(C)(C)NC(=O)c2oc(C)nn2)C(=O)NCc3ccc(F)cc3)[O-] 470800
[K+].Nc1ccc(C(=O)[O-])c(O)c1 674535
[K+].OC\C=C\1/O[C@@H]2CC(=O)N2[C@H]1C(=O)[O-] 111491
[K+].O[K].[O-]C(=O)C1N=C(c2ccccc2)c3cc(Cl)ccc3NC1=O 1369640
[K+].[I-] 178545
[K+].[K+].[K+].OC(CC(=O)[O-])(CC(=O)[O-])C(=O)[O-] 674409
[K+].[K+].[O-]S(=O)(=O)[O-] 1336999
[K+].[O-]C(=O)Cc1ccccc1Nc2c(Cl)cccc2Cl 674755
[K+].[O-]C(=O)CCc1oc(c2ccccc2)c(n1)c3ccccc3 674414
[K+].[O-]Cl(=O)(=O)=O 674647
[Li+].[Li+].[Li+].O.O.O.O.OC(CC(=O)[O-])(CC(=O)[O-])C(=O)[O-] 1376008
[Li+].[Li+].[Li+].OC(CC(=O)[O-])(CC(=O)[O-])C(=O)[O-] 675121
[Li+].[Li+].[O-]C(=O)[O-] 674777
[Mg+2].COc1ccc2[n-]c(nc2c1)[S+]([O-])Cc3ncc(C)c(OC)c3C.COc4ccc5[n-]c(nc5c4)[S+]([O-])Cc6ncc(C)c(OC)c6C 991212
[Mg+2].COc1ccc2[n-]c(nc2c1)[S+]([O-])Cc3ncc(C)c(OC)c3C.COc4ccc5[n-]c(nc5c4)[S+]([O-])Cc6ncc(C)c(OC)c6C 1418084
[Mg+2].[Mg+2].[O-][Si](=O)O[Si]([O-])([O-])O[Si](=O)[O-] 1369642
[Mg+2].[O-]S(=O)(=O)[O-] 1336998
[Na+].CC(=O)CC(C1=C([O-])c2ccccc2OC1=O)c3ccccc3 674830
[Na+].CC(=O)Nc1c(I)c(NC(=O)C)c(I)c(C(=O)[O-])c1I 674532
[Na+].CC(C)(O)c1ccccc1CC[C@@H](SCC2(CC(=O)[O-])CC2)c3cccc(\C=C\c4ccc5ccc(Cl)cc5n4)c3 674632
[Na+].CC(C)Cc1ccc(cc1)C(C)C(=O)[O-] 700369
[Na+].CC(C)n1c(\C=C\C(O)CC(O)CC(=O)[O-])c(c2ccc(F)cc2)c3ccccc13 1449167
[Na+].CC1(C)S[C@@H]2[C@H](NC(=O)C(C(=O)Oc3ccc4CCCc4c3)c5ccccc5)C(=O)N2[C@H]1C(=O)[O-] 674942
[Na+].Cc1ccc(cc1)C(=O)c2ccc(CC(=O)[O-])n2C 674564
[Na+].Cc1ccc(Cl)c(Nc2ccccc2C(=O)[O-])c1Cl 72430
[Na+].Cc1onc(c2ccccc2)c1C(=O)N[C@H]3[C@H]4SC(C)(C)[C@@H](N4C3=O)C(=O)[O-] 31491
[Na+].CCC(=O)O[C@@H](O[P@](=O)(CCCCc1ccccc1)CC(=O)N2C[C@@H](C[C@H]2C(=O)[O-])C3CCCCC3)C(C)C 1592407
[Na+].CCC(C)C1(CC)C(=O)NC(=O)[N-]C1=O 674933
[Na+].CCCC(=O)Nc1c(I)cc(I)c(CC(CC)C(=O)[O-])c1I 674850
[Na+].CCCC(C)C1(CC)C(=O)NC(=O)[N-]C1=O 95978
[Na+].CCCC(C)C1(CC=C)C(=O)NC(=O)[N-]C1=O 674854
[Na+].CCCC(CCC)C(=O)O.CCCC(CCC)C(=O)[O-] 1377883
[Na+].CCCCCN(C)CCC(O)(P(=O)(O)O)P(=O)(O)[O-] 674959
[Na+].CCOc1ccc2ccccc2c1C(=O)N[C@H]3[C@H]4SC(C)(C)[C@@H](N4C3=O)C(=O)[O-] 674295
[Na+].CC[C@H](C)C(=O)O[C@H]1C[C@H](O)C=C2C=C[C@H](C)[C@H](CC[C@@H](O)C[C@@H](O)CC(=O)[O-])[C@@H]12 30602
[Na+].CN(C)\C=N\c1c(I)cc(I)c(CCC(=O)[O-])c1I 674984
[Na+].CN1C(=O)N(C)c2nc[nH]c2C1=O.NCC(=O)[O-] 674529
[Na+].COc1ccc2c(O[C@@H]3C[C@@H]4[C@@H](C3)C(=O)N(C)CCCC\C=C/[C@@H]5C[C@]5(NC4=O)C(=O)[N-]S(=O)(=O)C6CC6)cc(nc2c1C)c7nc(cs7)C(C)C 1626792
[Na+].COc1ccc2cc(ccc2c1)[C@H](C)C(=O)[O-] 674757
[Na+].COc1ccnc(C[S+]([O-])c2nc3cc(OC(F)F)ccc3[n-]2)c1OC 674359
[Na+].COCc1c(nc(C(C)C)c(\C=C\[C@@H](O)C[C@@H](O)CC(=O)[O-])c1c2ccc(F)cc2)C(C)C 674514
[Na+].COCCCOc1ccnc(C[S+]([O-])c2nc3ccccc3[n-]2)c1C 674881
[Na+].CO[C@@H]1[C@@H](OC(=O)N)[C@@H](O)[C@H](Oc2ccc3C(=C(NC(=O)c4ccc(O)c(CC=C(C)C)c4)C(=O)Oc3c2C)[O-])OC1(C)C 1672744
[Na+].C[C@@H]1CCO[C@H]2CN3C=C(C(=O)NCc4ccc(F)cc4F)C(=O)C(=C3C(=O)N12)[O-] 685006
[Na+].NCCCC(O)(P(=O)(O)O)P(=O)(O)[O-] 28699
[Na+].N[C@@H](Cc1cc(I)c(Oc2ccc(O)c(I)c2)c(I)c1)C(=O)[O-] 675070
[Na+].OC(=O)[O-] 304381
[Na+].OC(Cc1cccnc1)(P(=O)(O)O)P(=O)(O)[O-] 494630
[Na+].OCCCC(=O)[O-] 674633
[Na+].OC[C@H](O)[C@H]1OC(=O)C(=C1[O-])O 597282
[Na+].OP(=O)(O)[O-] 311242
[Na+].OP(=O)([O-])OCC(Cl)(Cl)Cl 674740
[Na+].[123I-] 675034
[Na+].[I-] 1059668
[Na+].[Na+].CC(O)(P(=O)(O)[O-])P(=O)(O)[O-] 674993
[Na+].[Na+].CN(Cc1cnc2nc(N)nc(N)c2n1)c3ccc(cc3)C(=O)N[C@@H](CCC(=O)[O-])C(=O)[O-] 1737244
[Na+].[Na+].C[C@]12CC[C@H]3[C@@H](CCc4cc(OC(=O)N(CCCl)CCCl)ccc34)[C@@H]1CC[C@@H]2OP(=O)([O-])[O-] 674672
[Na+].[Na+].C[C@]12C[C@H](O)[C@H]3[C@@H](CCC4=CC(=O)C=C[C@]34C)[C@@H]1CC[C@]2(O)C(=O)COP(=O)([O-])[O-] 674965
[Na+].[Na+].OC(COc1cccc2OC(=CC(=O)c12)C(=O)[O-])COc3cccc4OC(=CC(=O)c34)C(=O)[O-] 6480
[Na+].[Na+].Oc1ccc(cc1C(=O)[O-])N=Nc2ccc(cc2)C(=O)NCCC(=O)[O-] 674711
[Na+].[Na+].Oc1ccc(cc1C(=O)[O-])N=Nc2ccc(O)c(c2)C(=O)[O-] 674964
[Na+].[Na+].OP(=O)([O-])C(Sc1ccc(Cl)cc1)P(=O)(O)[O-] 674399
[Na+].[Na+].OP(=O)([O-])[O-] 136282
[Na+].[Na+].O[32P](=O)([O-])[O-] 1379795
[Na+].[Na+].[Ca+2].[O-]C(=O)CN(CCN(CC(=O)[O-])CC(=O)[O-])CC(=O)[O-] 674326
[Na+].[Na+].[O-]S(=O)(=O)Oc1ccc(cc1)C(c2ccc(OS(=O)(=O)[O-])cc2)c3ccccn3 1078532
[Na+].[Na+].[O-]S(=O)(=O)[O-] 394539
[Na+].[Na+].[O-]S(=O)CNc1ccc(cc1)S(=O)(=O)c2ccc(NCS(=O)[O-])cc2 674531
[Na+].[O-]C(=O)c1ccccc1 304398
[Na+].[O-]C(=O)Cc1ccccc1 674309
[Na+].[O-]C(=O)Cc1ccccc1Nc2c(Cl)cccc2Cl 123693
[Na+].[O-]C(=O)CCCc1ccccc1 575670
[Na+].[O-]C1=NC(=O)C(N1)(c2ccccc2)c3ccccc3 458912
[Na+].[O-]S(=O)(=O)CCS 96595
[Na+].[O-][N+](=O)c1ccc(cc1)c2oc(\C=N\N3CC(=O)[N-]C3=O)cc2 84644
[NH3+]CC=C.OC(=O)[O-].ClCC1CO1 675750
[O-][N+](=O)c1cc(ccc1C(=O)C2C(=O)CCCC2=O)C(F)(F)F 281549
[O-][N+](=O)c1ccc(cc1)c2oc(\C=N\N3CC(=O)NC3=O)cc2 675239
[O-][N+](=O)c1ccc2NC(=O)CN=C(c3ccccc3Cl)c2c1 2465
[O-][N+](=O)c1oc(\C=N\N2CC(=O)NC2=O)cc1 16592
[O-][N+](=O)c1oc(\C=N\N2CCOC2=O)cc1 151310
[O-][N+](=O)O[C@H]1CO[C@@H]2[C@@H](CO[C@H]12)O[N+](=O)[O-] 556
[O-][S+](CCC1C(=O)N(N(C1=O)c2ccccc2)c3ccccc3)c4ccccc4 60232
[OH-].[OH-].[Mg+2] 674669
[OH-].[OH-].[OH-].[Al+3] 674657

similarity_metric_comparison.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "RDKit WARNING: [19:50:19] Enabling RDKit 2019.09.3 jupyter extensions\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from rdkit import Chem\n",
    "from tqdm.auto import tqdm\n",
    "from rdkit.DataStructs import ConvertToNumpyArray, FingerprintSimilarity\n",
    "from rdkit import DataStructs\n",
    "import numpy as np\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"chembl_drugs.smi\",sep=\" \",names=[\"SMILES\",\"Name\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/pwalters/opt/anaconda3/envs/rdkit_2020_02/lib/python3.7/site-packages/tqdm/std.py:668: FutureWarning: The Panel class is removed from pandas. Accessing it from the top-level namespace will also be removed in the next version\n",
      "  from pandas import Panel\n"
     ]
    }
   ],
   "source": [
    "tqdm.pandas()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a09b1ef251f748a1b1199c9f9399bb51",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, max=1495.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "df['mol'] = df.SMILES.progress_apply(Chem.MolFromSmiles)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "723fe579b3424be1b40b08f6909c24c2",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, max=1495.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "df['fp'] = df.mol.progress_apply(Chem.RDKFingerprint)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_array(fp):\n",
    "    arr = np.zeros((0,), dtype=np.int8)\n",
    "    ConvertToNumpyArray(fp,arr)\n",
    "    return arr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7c3fcff1a9cc4859bee3c68a5604b8fb",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, max=1495.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "df['fp_array'] = df.fp.progress_apply(make_array)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5712f8a11f3c4ba7a87e89cdf4a9ee0e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, max=1000.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "res = []\n",
    "for i in tqdm(range(0,1000)):\n",
    "    s = df.sample(n=2)\n",
    "    fp_a,fp_b = s.fp.values\n",
    "    arr_a,arr_b = s.fp_array.values \n",
    "    fp_sim = FingerprintSimilarity(fp_a,fp_b, metric=DataStructs.TanimotoSimilarity)\n",
    "    dice_sim = FingerprintSimilarity(fp_a,fp_b, metric=DataStructs.DiceSimilarity)\n",
    "    mc_sim = FingerprintSimilarity(fp_a,fp_b, metric=DataStructs.McConnaugheySimilarity)\n",
    "    eu_dist = np.linalg.norm(arr_a-arr_b)\n",
    "    res.append([fp_sim,dice_sim,mc_sim,eu_dist])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "res_df = pd.DataFrame(res,columns=[\"Tanimoto\",\"Dice\",\"McConnaughey\",\"Euclidean\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x7f943afa2f10>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 20 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(res_df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.set(rc={'figure.figsize': (15, 12)})\n",
    "sns.set(font_scale=1.5)\n",
    "sns.set_style('whitegrid')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fp_array = [x[0] for x in res]\n",
    "dice_array = [x[1] for x in res]\n",
    "ed_array = [x[2] for x in res]\n",
    "ax = sns.scatterplot(fp_array,ed_array)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.scatterplot(fp_array,dice_array)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x7f943e59c090>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(fp_array, ed_array, kind=\"hex\", color=\"#4CB391\")"
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   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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