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Dopamine D2 receptor ─ ChEMBL 72

Dataset sourcesHEIKAMP (2011) RINIKER (2013) Benchmarking-Platform
Compounds10000× 'decoy', 100× 'active'
ClassifierSupport Vector Machine (c:10, RBF-Kernel γ:0.01)
FeaturesFiltered ECFP4 fragments 
The service uses filtered (instead of folded) Extended-Connectivity Fingerprint (ECFP) fragments as features for the prediction algorithm. more..
Num features8192

 

Recent predictions

CompoundPrediction
Each prediction model provides a probability estimate for the prediction. The probability value indicates how confident the classifier is. more..
App-Domain
QSAR model predictions should not be trusted if the query compound is outside of the applicability domain of the model (i.e., if the query compound is dissimilar to the training dataset compounds). more..
CCC1CC2CC3(C1N(C2)CCC4=C3NC5=C4C=C(C=C5)OC)C(=O)OC
  decoy (99.59%)
OC(=O)CN1N=NC(=N1)C1=CC=C(CN(CCCCOC2=CC=C(CN3CCCC3)C=C2)CCC2=CC=CC=C2)C=C1
  decoy (99.74%)
?
CCNC1=NC(=O)C(N1)C
  decoy (100%)
-
CC(=C)C(=O)NCCCN.Cl
  decoy (100%)
C1C[N+](CCN1C(C2=CC=CC=C2)C3=CC=C(C=C3)Cl)(CCOCC(=O)O)[O-]
  decoy (99.87%)
[H][N-]1([H])[C@]([H])(C(=O)O[H])C([H])([H])[S-]([H])[Cu++++]14/[O-]=[S](/C2=N/C3=C(N2[H])C([H])=C(OC([H])([H])[H])C([H])=C3[H])C([H])([H])[C@@]5([H])[N-]4=C([H])[C@@]([H])([C@@]([H])(OC([H])([H])[H])[C@]5([H])C([H])([H])[H])C([H])([H])[H]
  decoy (100%)
[H]N5([H])[Cu]3(/O=[S](/C1=N/C2=C(N1[H])C([H])=C(OC([H])([H])[H])C([H])=C2[H])C([H])([H])[C@@]4([H])N3=C([H])[C@@]([H])([C@@]([H])(OC([H])([H])[H])[C@]4([H])C([H])([H])[H])C([H])([H])[H])[S]C([H])([H])[C@]5([H])C(=O)O[H]
  decoy (100%)
[H]N1C=5C(/N=C1/[S]3=[O+][Cu---]4([N+]=2C(=C(C(OC([H])([H])[H])=C(C=2[H])C([H])([H])[H])C([H])([H])[H])C3([H])[H])[S]([H])C([H])([H])[C@@]([H])(C(=O)O[H])[N+]4([H])[H])=C([H])C(OC([H])([H])[H])=C([H])C=5[H]
  decoy (100%)
CO/C1=C/C=C2C(=C1)N=C(N2[H])[S]=4C/C3=C(\C)C(OC)=C(C)C=[N+]3[Cu---]=5([O+]=4)[N+][C@@]([H])(C[S]=5)C(O)=O
  decoy (100%)
CCOP(=O)(OCC)[C@H](NCCc1ccc(O)c(O)c1)c1ccnc2ccccc12
  decoy (89.1%)