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SMILES
stringlengths
14
72
Ki
float64
-5
1.05
Cc1nc(N)sc1-c1ccnc(Nc2cccc([N+](=O)[O-])c2)n1
-1.30103
Cc1ccc2c(-c3ccnc(Nc4cccc(C(F)(F)F)c4)n3)c(-c3ccc(F)cc3)nn2n1
-1.30103
Cc1ccc2c(-c3ccnc(Nc4ccc(F)c(F)c4)n3)c(-c3ccc(F)cc3)nn2n1
-1
Cc1ccc2c(-c3ccnc(Nc4ccc5c(c4)OCCO5)n3)c(-c3ccc(F)cc3)nn2n1
-1
Cc1ccc2c(-c3ccnc(Nc4ccc(Cl)c(C(F)(F)F)c4)n3)c(-c3ccc(F)cc3)nn2n1
-1.69897
c1ccc(Nc2nccc(-c3c(C4CC4)nn4ncccc34)n2)cc1
-4.278754
Fc1ccc(Nc2nccc(-c3c(C4CC4)nn4ncccc34)n2)cc1F
-4.361728
COCCOc1cnn2ncc(-c3ccnc(Nc4cccc(OC)c4)n3)c2c1
-1.90309
Cc1ccc2c(-c3ccnc(Nc4ccc(F)c(F)c4)n3)c(-c3ccccc3)nn2n1
-1.477121
Cc1ccc2c(-c3ccnc(Nc4ccc(Cl)c(C(F)(F)F)c4)n3)c(-c3ccccc3)nn2n1
-2
Cc1ccc2c(-c3ccnc(Nc4ccc5c(c4)OCCO5)n3)c(-c3ccccc3)nn2n1
-1.477121
Cc1ccc2c(-c3ccnc(Nc4ccccc4)n3)c(-c3cccc(C(F)(F)F)c3)nn2n1
-2.897627
Cc1ccc2c(-c3ccnc(Nc4ccc(F)c(F)c4)n3)c(-c3cccc(C(F)(F)F)c3)nn2n1
-3.198657
Cc1ccc2c(-c3ccnc(Nc4ccc(Cl)c(C(F)(F)F)c4)n3)c(-c3cccc(C(F)(F)F)c3)nn2n1
-2.799341
Cc1ccc2c(-c3ccnc(Nc4ccc5c(c4)OCCO5)n3)c(-c3cccc(C(F)(F)F)c3)nn2n1
-2.176091
Cc1ccc2c(-c3ccnc(Nc4ccccc4)n3)c(-c3ccc(F)cc3)nn2n1
-1.30103
c1ccc(Nc2nccc(-c3cnn4ncccc34)n2)cc1
-1.161368
CN(c1ccccc1)c1nccc(-c2cnn3ncccc23)n1
-4.298853
Cc1ccccc1Nc1nccc(-c2cnn3ncccc23)n1
-3.778151
COc1cccc(Nc2nccc(-c3cnn4ncccc34)n2)c1
-1
CC(C)c1ccc(Nc2nccc(-c3cnn4ncccc34)n2)cc1
-1.477121
CCC(C)c1ccc(Nc2nccc(-c3cnn4ncccc34)n2)cc1
-2.079181
CC(C)(C)c1ccc(Nc2nccc(-c3cnn4ncccc34)n2)cc1
-1.69897
COc1ccc(Nc2nccc(-c3cnn4ncccc34)n2)cc1OC
-1.041787
Fc1ccc(Nc2nccc(-c3cnn4ncccc34)n2)cc1F
-1
Clc1ccc(Nc2nccc(-c3cnn4ncccc34)n2)cc1Cl
-1
COc1cc(Nc2nccc(-c3cnn4ncccc34)n2)cc(OC)c1
-1
Oc1ccc2c(-c3ccnc(Nc4cccc(C(F)(F)F)c4)n3)cnn2n1
-1
COc1ccc2c(-c3ccnc(Nc4cccc(C(F)(F)F)c4)n3)cnn2n1
-1.69897
CCOc1ccc2c(-c3ccnc(Nc4cccc(C(F)(F)F)c4)n3)cnn2n1
-2.278754
CCCOc1ccc2c(-c3ccnc(Nc4cccc(C(F)(F)F)c4)n3)cnn2n1
-2.897627
COc1cccc(Nc2nccc(-c3cnn4nc(OC)ccc34)n2)c1
-2
COc1ccc2c(-c3ccnc(Nc4cccc(OC(F)(F)F)c4)n3)cnn2n1
-1.69897
COc1ccc2c(-c3ccnc(Nc4ccc(C#N)cc4)n3)cnn2n1
-1.69897
COc1ccc2c(-c3ccnc(Nc4ccc([N+](=O)[O-])cc4)n3)cnn2n1
-1.845098
COc1cc(Nc2nccc(-c3cnn4nc(OC)ccc34)n2)cc(OC)c1
-2.079181
COc1cc(Nc2nccc(-c3cnn4nc(OC)ccc34)n2)cc(C(F)(F)F)c1
-2.278754
CCOc1ccc2c(-c3ccnc(Nc4cc(OC)cc(C(F)(F)F)c4)n3)cnn2n1
-3.499687
COc1ccc2c(-c3ccnc(Nc4cc(C(F)(F)F)cc(C(F)(F)F)c4)n3)cnn2n1
-2.799341
COc1ccc2c(-c3ccnc(Nc4ccc5c(c4)OCCO5)n3)cnn2n1
-1.477121
Cc1ccc2c(-c3ccnc(Nc4ccc(C(F)(F)F)cc4)n3)cnn2n1
-1.69897
COc1cc(Nc2nccc(-c3cnn4nc(C)ccc34)n2)cc(C(F)(F)F)c1
-1
Cc1ccc2c(-c3ccnc(Nc4ccc5c(c4)OCCO5)n3)cnn2n1
-1
FC(F)(F)c1cccc(Nc2nccc(-c3cnn4nc(-c5ccccc5)ccc34)n2)c1
-2.176091
c1ccc(-c2ccc3c(-c4ccnc(Nc5ccc6c(c5)OCCO6)n4)cnn3n2)cc1
-2.079181
c1ccc(Nc2nccc(-c3c(-c4ccccc4)nn4ncccc34)n2)cc1
-1
FC(F)(F)c1cccc(Nc2nccc(-c3c(-c4ccccc4)nn4ncccc34)n2)c1
-1
Fc1ccc(Nc2nccc(-c3c(-c4ccccc4)nn4ncccc34)n2)cc1F
-1
Fc1cc(F)cc(Nc2nccc(-c3c(-c4ccccc4)nn4ncccc34)n2)c1
-1
FC(F)(F)c1cc(Nc2nccc(-c3c(-c4ccccc4)nn4ncccc34)n2)ccc1Cl
-1.30103
Fc1ccc(-c2nn3ncccc3c2-c2ccnc(Nc3ccccc3)n2)cc1
-1.30103
Fc1ccc(-c2nn3ncccc3c2-c2ccnc(Nc3cccc(C(F)(F)F)c3)n2)cc1
-1.30103
Fc1ccc(-c2nn3ncccc3c2-c2ccnc(Nc3ccc(F)c(F)c3)n2)cc1
-1.30103
Fc1ccc(-c2nn3ncccc3c2-c2ccnc(Nc3ccc(Cl)c(C(F)(F)F)c3)n2)cc1
-1.60206
Fc1ccc(-c2nn3ncccc3c2-c2ccnc(Nc3ccc4c(c3)OCCO4)n2)cc1
-1
COc1ccc(-c2nn3ncccc3c2-c2ccnc(Nc3ccccc3)n2)cc1
-3.699838
COc1ccc(-c2nn3ncccc3c2-c2ccnc(Nc3cccc(C(F)(F)F)c3)n2)cc1
-4.499687
COc1ccc(-c2nn3ncccc3c2-c2ccnc(Nc3ccc(F)c(F)c3)n2)cc1
-3.899821
COc1ccc(-c2nn3ncccc3c2-c2ccnc(Nc3ccc(Cl)c(C(F)(F)F)c3)n2)cc1
-4.491362
COc1ccc(-c2nn3ncccc3c2-c2ccnc(Nc3ccc4c(c3)OCCO4)n2)cc1
-3.699838
FC(F)(F)c1cccc(-c2nn3ncccc3c2-c2ccnc(Nc3ccccc3)n2)c1
-2.176091
Fc1ccc(Nc2nccc(-c3c(-c4cccc(C(F)(F)F)c4)nn4ncccc34)n2)cc1F
-2.491362
FC(F)(F)c1cccc(-c2nn3ncccc3c2-c2ccnc(Nc3ccc4c(c3)OCCO4)n2)c1
-1.69897
FC(F)(F)c1cccc(-c2nn3ncccc3c2-c2ccnc(Nc3ccc(Cl)c(C(F)(F)F)c3)n2)c1
-3
Clc1ccc(-c2nn3ncccc3c2-c2ccnc(Nc3ccccc3)n2)cc1
-3.09691
FC(F)(F)c1cccc(Nc2nccc(-c3c(-c4ccc(Cl)cc4)nn4ncccc34)n2)c1
-3.399674
Fc1ccc(Nc2nccc(-c3c(-c4ccc(Cl)cc4)nn4ncccc34)n2)cc1F
-3
FC(F)(F)c1cc(Nc2nccc(-c3c(-c4ccc(Cl)cc4)nn4ncccc34)n2)ccc1Cl
-3.599883
Clc1ccc(-c2nn3ncccc3c2-c2ccnc(Nc3ccc4c(c3)OCCO4)n2)cc1
-2.897627
Cc1ccc2c(-c3ccnc(Nc4ccccc4)n3)c(-c3ccccc3)nn2n1
-1.69897
Cc1ccc2c(-c3ccnc(Nc4cccc(C(F)(F)F)c4)n3)c(-c3ccccc3)nn2n1
-1.60206
COc1ccc(F)c(F)c1C(=O)c1cnc(NC2CCN(S(C)(=O)=O)CC2)nc1N
-3.90309
COc1ccc(CNC(=O)Nc2ncc([N+](=O)[O-])s2)cc1
-1.527716
Cc1cc(Nc2nc(-c3ccccc3)nc3ccccc23)n[nH]1
-1.342423
CC(=O)Nc1ccc(Sc2nc(Nc3cc(C)n[nH]3)c3ccccc3n2)cc1
-3.014521
O[C@H]1CC[C@H](Nc2ccc3nnc(-c4cccc(C(F)(F)F)c4)n3n2)CC1
-2.361728
FC(F)(F)c1cccc(-c2nnc3ccc(NC4CCNCC4)nn23)c1
-3.462398
O=[N+]([O-])c1ccc(NCCNc2ncc(-c3ncc[nH]3)c(-c3ccc(Cl)cc3Cl)n2)nc1
1.045757
Cc1cc(Nc2nc(-c3ccncc3)nc3ccccc23)n[nH]1
-1.863323
Cc1cc(Nc2nc(Nc3ccccc3)nc3ccccc23)n[nH]1
-1.380211
Cc1cc(Nc2nc(N(C)c3ccccc3)nc3ccccc23)n[nH]1
-2.494155
Cc1cc(Nc2nc(Oc3ccccc3)nc3ccccc23)n[nH]1
-1.70757
Cc1cc(Nc2nc(Sc3ccccc3)nc3ccccc23)n[nH]1
-2.232996
Cc1cc(Nc2nc(Sc3ccccc3Cl)nc3ccccc23)n[nH]1
-2.100371
Cc1cc(Nc2nc(Sc3cccc(Cl)c3)nc3ccccc23)n[nH]1
-1.518514
Cc1cc(Nc2nc(Sc3ccc(Cl)cc3)nc3ccccc23)n[nH]1
-1.643453
Cc1cc(Nc2nc(Sc3cccc(Cl)c3Cl)nc3ccccc23)n[nH]1
-1.681241
Cc1cc(Nc2nc(Sc3ccc(Cl)cc3Cl)nc3ccccc23)n[nH]1
-0.90309
Cc1cc(Nc2nc(Sc3c(Cl)cccc3Cl)nc3ccccc23)n[nH]1
-2.053078
COc1ccccc1Sc1nc(Nc2cc(C)[nH]n2)c2ccccc2n1
-2.334454
COc1ccc(Sc2nc(Nc3cc(C)[nH]n3)c3ccccc3n2)cc1
-2.093422
COc1ccc(Sc2nc(Nc3cc(C)[nH]n3)c3ccccc3n2)cc1OC
-3.067443
Cc1cc(Nc2nc(Sc3ccc(NS(C)(=O)=O)cc3)nc3ccccc23)n[nH]1
-1.826075
CC(=O)N(C)c1ccc(Sc2nc(Nc3cc(C)[nH]n3)c3ccccc3n2)cc1
-1.230449
CCC(=O)Nc1ccc(Sc2nc(Nc3cc(C)[nH]n3)c3ccccc3n2)cc1
-3.176091
Cc1cc(Nc2nc(Sc3ccc(NC(=O)C4CC4)cc3)nc3ccccc23)n[nH]1
-3.118595
CC(=O)Nc1ccc(Sc2nc(Nc3cc[nH]n3)c3ccccc3n2)cc1
-2.781755
CC(=O)Nc1ccc(Sc2nc(Nc3cc(C4CC4)[nH]n3)c3ccccc3n2)cc1
-2.528917
COc1cc2c(C)cc3c(c2cc1OC)C(=O)NC3=O
-2.4133
O=C1NN=C(c2cccnc2)/C1=N/Nc1ccccc1Cl
-2.30103
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MoleculeACE ChEMBL262 Ki

ChEMBL262 dataset, originally part of ChEMBL database [1], processed in MoleculeACE [2] for activity cliff evaluation. It is intended to be use through scikit-fingerprints library.

The task is to predict the inhibitor constant (Ki) of molecules against the Glycogen synthase kinase-3 beta target.

Characteristic Description
Tasks 1
Task type regression
Total samples 856
Recommended split activity_cliff
Recommended metric RMSE

References

[1] B. Zdrazil et al., “The ChEMBL Database in 2023: a drug discovery platform spanning multiple bioactivity data types and time periods,” Nucleic Acids Research, vol. 52, no. D1, Nov. 2023, doi: https://doi.org/10.1093/nar/gkad1004. ‌

[2] D. van Tilborg, A. Alenicheva, and F. Grisoni, “Exposing the Limitations of Molecular Machine Learning with Activity Cliffs,” Journal of Chemical Information and Modeling, vol. 62, no. 23, pp. 5938–5951, Dec. 2022, doi: https://doi.org/10.1021/acs.jcim.2c01073. ‌

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