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SMILES
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27
451
Ki
float64
-4.75
0.6
CC1=CC(C)(C)Nc2ccc3c(c21)/C(=C/c1ccsc1)Oc1ccc(F)cc1-3
-2.825426
CCc1ccccc1/C=C1\Oc2ccc(F)cc2-c2ccc3c(c21)C(C)=CC(C)(C)N3
-3.201124
CC1=CC(C)(C)Nc2ccc3c(c21)/C(=C/c1ccccc1N(C)C)Oc1ccc(F)cc1-3
-2.913284
CC1=CC(C)(C)Nc2ccc3c(c21)/C(=C/c1ccccc1)Oc1c(F)cccc1-3
-3.163161
CC(=O)O[C@]1(C(C)=O)CC[C@H]2[C@@H]3C[C@H](C)C4=CC(=O)CC[C@]4(C)[C@H]3CC[C@@]21C
-0.462398
CC1=CC(C)(C)Nc2ccc3c(c21)/C(=C/c1ccccc1C)Oc1c(F)cccc1-3
-2.982271
COc1ccccc1/C=C1\Oc2ccc(F)cc2-c2ccc3c(c21)C(C)=CC(C)(C)N3
-2.642465
CC(=O)[C@H]1CC[C@H]2[C@@H]3CCC4=CC(=O)CC[C@]4(C)[C@H]3CC[C@]12C
-0.929419
C=CCC1Oc2cccc(OC)c2-c2ccc3c(c21)C(C)=CC(C)(C)N3
-3.089905
C=CCC1Oc2cccc(NC)c2-c2ccc3c(c21)C(C)=CC(C)(C)N3
-3.4133
C=CCC1Oc2cccc(CO)c2-c2ccc3c(c21)C(C)=CC(C)(C)N3
-3.120574
C=CCC1Oc2cccc(OC(F)F)c2-c2ccc3c(c21)C(C)=CC(C)(C)N3
-1.983626
C=CCC1Oc2cccc(SC)c2-c2ccc3c(c21)C(C)=CC(C)(C)N3
-3.390935
C#Cc1cccc2c1-c1ccc3c(c1C(CC=C)O2)C(C)=CC(C)(C)N3
-2.812913
C=CCC1Oc2cccc(O)c2-c2ccc3c(c21)C(C)=CC(C)(C)N3
-3.313867
C[C@]12C[C@H](O)[C@H]3[C@@H](CCC4=CC(=O)C=C[C@@]43C)[C@@H]1CC[C@]2(O)C(=O)CO
-3.441066
C=CCC1Oc2cccc(C=C)c2-c2ccc3c(c21)C(C)=CC(C)(C)N3
-2.378398
CCC1CCNc2cc3c(cc21)c(C(F)(F)F)cc(=O)n3C
-0.954243
C[C@]12CC[C@H]3[C@@H](CC[C@H]4CC(=O)CC[C@@]43C)[C@@H]1CC[C@@H]2O
-0.095572
CC1(C)CCNc2cc3nc(O)cc(C(F)(F)F)c3cc21
-1.079181
C[C@H]1CNc2cc3nc(O)cc(C(F)(F)F)c3cc2C1CCC(F)(F)F
-0.30103
CC1CCNc2cc3nc(O)cc(C(F)(F)F)c3cc21
-0.954243
CCCC1CCNc2cc3nc(O)cc(C(F)(F)F)c3cc21
-1.462398
CCC1CCN(C)c2cc3c(cc21)c(C(F)(F)F)cc(=O)n3C
-2.419956
CCC1(CC)CCNc2cc3nc(O)cc(C(F)(F)F)c3cc21
-1.763428
CC(C)C[C@H]1c2cc3c(C(F)(F)F)cc(O)nc3cc2NC[C@@H]1C
-1.857332
CC1C(=O)C(C)(C)Nc2ccc3c(c21)/C(=C/c1ccccc1)Oc1ccccc1-3
-3.077731
Oc1cc(C(F)(F)F)c2cc3c(cc2n1)NCCC3
-1.278754
CC(C)CC1CCNc2cc3nc(O)cc(C(F)(F)F)c3cc21
-1.342423
Oc1cc(C(F)(F)F)c2cc3c(cc2n1)NC[C@@H]1CCC[C@H]31
-0.90309
CCC1CCN(C)c2cc3nc(O)cc(C(F)(F)F)c3cc21
-2.799341
CCC1CCNc2cc3[nH]c(=O)cc(C(F)(F)F)c3cc21
-1.066947
CC1C(=O)C(C)(C)Nc2ccc3c(c21)/C(=C/c1cccc(F)c1)Oc1ccccc1-3
-2.748188
CC(C)C1CCNc2cc3nc(O)cc(C(F)(F)F)c3cc21
-1.113943
O=C1C=C2CCc3cc(O)ccc3[C@]2(Cc2ccccc2)CC1
-2.255273
C[C@H]1Nc2cc3c(cc2C1(C)C)c(C(F)(F)F)cc(=O)n3C
-0.954243
Oc1ccc2c(c1)CC[C@@H]1C[C@@](O)(C#CCl)CC[C@@]21Cc1ccccc1
-2.113943
CCn1c(=O)cc(C(F)(F)F)c2cc3c(cc21)N[C@@H]1CCCC[C@H]31
-2.287802
C[C@H]1Nc2cc3nc(O)cc(C(F)(F)F)c3cc2[C@H]1C
-0.778151
C[C@H]1CC[C@@H]2[C@H](C1)c1cc3c(C(F)(F)F)cc(=O)n(C)c3cc1N2C
-1.892095
CC#C[C@]1(O)CC[C@H]2[C@@H]3CCC4=CC(=O)CCC4=C3[C@@H](c3ccc(N(C)C)cc3)C[C@@]21C
-0.939519
C[C@@H]1Cc2cc3c(C(F)(F)F)cc(O)nc3cc2N1
-1
CCCN1c2cc3c(cc2[C@H]2CCCC[C@H]21)c(C(F)(F)F)cc(=O)n3C
-1.799341
O=C1CC[C@@]2(Cc3ccccc3)c3ccc(O)cc3CC[C@@H]2C1
-3.113943
Cn1c(=O)cc(C(F)(F)F)c2cc3c(cc21)NCC3
-1.78533
CC1(C)CCC[C@@H]2c3cc4c(C(F)(F)F)cc(O)nc4cc3N[C@@H]21
-1.897627
Oc1cc(C(F)(F)F)c2cc3c(cc2n1)NCC3
-1.612784
CC#C[C@@]1(O)CC[C@@]2(Cc3ccccc3)c3ccc(O)cc3CC[C@@H]2C1
-2.812913
CC1(C)CNc2cc3nc(O)cc(C(F)(F)F)c3cc21
-1.447158
Oc1cc(C(F)(F)F)c2cc3c(cc2n1)N[C@@H]1CCCC[C@H]31
-0.69897
Cn1c(=O)cc(C(F)(F)F)c2cc3c(cc21)N[C@@H]1CCCC[C@]31C
-0.954243
CN1c2cc3c(cc2[C@H]2CCCC[C@H]21)c(C(F)(F)F)cc(=O)n3C
-1
C[C@H]1N(C)c2cc3c(cc2C1(C)C)c(C(F)(F)F)cc(=O)n3C
-1.518514
CN1c2cc3c(cc2[C@@]2(C)CCCC[C@@H]12)c(C(F)(F)F)cc(=O)n3C
-1.986772
CC1(C)CCC[C@]2(C)c3cc4c(C(F)(F)F)cc(O)nc4cc3N[C@H]12
-1.886491
CN1c2cc3c(cc2[C@H]2CCCC(C)(C)[C@H]21)c(C(F)(F)F)cc(=O)n3C
-1.770852
CC#C[C@]1(O)CCC2C3CCC4=CC(=O)CC[C@]4(Cc4ccc(C)cc4)C3=CC[C@@]21C
-1.954243
C[C@H]1Nc2cc3c(cc2[C@H]1C)c(C(F)(F)F)cc(=O)n3C
-1
C[C@H]1CC[C@H]2Nc3cc4nc(O)cc(C(F)(F)F)c4cc3[C@H]2C1
-1.361728
C[C@@H]1Cc2cc3c(C(F)(F)F)cc(=O)n(C)c3cc2N1
-0.954243
C[C@H]1Nc2cc3nc(O)cc(C(F)(F)F)c3cc2C1(C)C
-1.322219
Cn1c(=O)cc(C(F)(F)F)c2cc3c(cc21)N[C@@H]1CCCC[C@H]31
-0.60206
CN1CCc2cc3c(C(F)(F)F)cc(=O)n(C)c3cc21
-2.222716
C[C@@H]1CNc2cc3nc(O)cc(C(F)(F)F)c3cc21
-1.230449
C[C@]12CCCC[C@H]1Nc1cc3nc(O)cc(C(F)(F)F)c3cc12
-1.322219
C[C@H]1CC[C@H]2Nc3cc4c(cc3[C@H]2C1)c(C(F)(F)F)cc(=O)n4C
-1.973128
C=C1CCC(C)(C)C1Cc1cc(OC)c(Br)cc1O
-3.283979
C=C1C[C@H](CO)CC(C)(C)[C@@H]1Cc1cc(OC)c(Br)cc1O
-3.833147
C=C1C=C(C)CC(C)(C)C1(O)Cc1ccc([N+](=O)[O-])cc1
-3.809829
C=C1C[C@H](C)C[C@@H](C)[C@@H]1Cc1cc(OC)c(Br)cc1O
-3.056524
C=C1C=C(C)CC(C)(C)C1Cc1cc(OC)c(Br)cc1OC(C)=O
-3.288249
C=C1C=C(C)CC(C)(C)C1Cc1ccc([N+](=O)[O-])c(C)c1
-3.431042
C=C1C=C(C)CC(C)(C)C1Cc1ccc([N+](=O)[O-])cc1
-3.799547
C=C1CC[C@H](O)C/C1=C/C=C1\CCCC2(C)C1CCC2C(C)/C=C/C(C)C(C)C
-0.041393
C=C1C=CCC(C)(C)C1Cc1cc(OC)c(Br)cc1O
-3.181272
C=C1C[C@H](C)CC(C)(C)[C@@H]1Cc1cc(OC)c(Br)cc1O
-2.842609
C=C1C=C(C)CC(C)(C)C1C/C=C/c1cc(OC)c(Br)cc1O
-3.365113
C=C1C=C(C)C[C@@H](C)[C@@H]1Cc1cc(OC)c(Br)cc1OC(C)=O
-3.175222
COc1cc(CC2C(C)(C)CC(C)=CC23CC3)c(OC(C)=O)cc1Br
-3.478278
C=C1[C@@H](Cc2cc(OC)c(Br)cc2O)C(C)(C)CC[C@@]1(C)O
-3.823605
C=C1C=C(C)CC(C)(C)C1Cc1cc(OC)c(Br)cc1O
-3.161068
C=C1C(C)=CCC(C)(C)[C@@H]1Cc1cc(OC)c(Br)cc1OC(C)=O
-3.805297
C=C1C=C(C)C(Cc2cc(OC)c(Br)cc2O)C(C)(C)C1
-3.20167
CC1CC(C)(C)Nc2cc3nc(O)cc(C(F)(F)F)c3cc21
-1.880814
CC1=CC(C)(C)Nc2cc3nc(O)cc(C)c3cc21
-1.792392
CC1(C)Cc2cc3c(C(F)(F)F)cc(O)nc3cc2NC1(C)C
-2.276462
CC1Cc2cc3c(C(F)(F)F)cc(O)nc3cc2NC1(C)C
-1.863323
CCC1(C)CCc2cc3c(C(F)(F)F)cc(O)nc3cc2N1
-1.462398
Oc1cc(C(F)(F)F)c2cc3c(cc2n1)NC1(CCCCC1)CC3
-0.954243
CCC1(C)CCc2cc3c(C(F)(F)F)cc(=O)n(C)c3cc2N1C
-1
CCC1(CC)CCc2cc3c(C(F)(F)F)cc(O)nc3cc2N1
-2.0086
CCn1c(=O)cc(C(F)(F)F)c2cc3c(cc21)NC(C)(C)C=C3C
-2.826075
Cn1c(=O)cc(C(F)(F)F)c2cc3c(cc21)NC(C)(C)CC3
-1.748188
CCC1Cc2cc3c(C(F)(F)F)cc(O)nc3cc2NC1(C)C
-2.399674
CCCC1(C)CCc2cc3c(C(F)(F)F)cc(O)nc3cc2N1
-1.838849
CC1c2cc3c(C(F)(F)F)cc(O)nc3cc2NC(C)(C)C1(C)C
-2.553883
Cn1c(=O)cc(C(F)(F)F)c2cc3c(cc21)N1CCCC1(C)CC3
-1.892095
CN1c2cc3c(cc2CCC1(C)C)c(C(F)(F)F)cc(=O)n3C
-1.230449
CC1=CC(C)(C)Nc2c1cc1c(C(F)(F)F)cc(=O)n(C)c1c2C
-2.941511
Cc1c2c(cc3c(C(F)(F)F)cc(O)nc13)C(C)CC(C)(C)N2
-1.929419
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MoleculeACE ChEMBL1871 Ki

ChEMBL1871 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 Androgen receptor target.

Characteristic Description
Tasks 1
Task type regression
Total samples 659
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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