Molecule card · MolClass #84
LOPAC 00083
LOPAC 00083: molecular structure, identifiers, source datasets and 13 saved model results in MolClass.
7 source records · 13 model builds with saved results
Explore classification modelsStructure and identifiers
- Imported compound names
- (±)-AtenololCompound induced Neuronal Stem Cell Differentiation · compound_nameR(+)-AtenololCompound induced Neuronal Stem Cell Differentiation · compound_nameS(-)-AtenololCompound induced Neuronal Stem Cell Differentiation · compound_nameatenololCaco2 Penetration · compound_name2249P.falciparum Sensitivity · compound_name103164873Liver Toxcicity · compound_name
- MolClass ID
- 84
- InChIKey
- METKIMKYRPQLGS-UHFFFAOYSA-N
- Canonical SMILES
- CC(C)NCC(O)COc1ccc(cc1)CC(N)=O
- Standard InChI
- InChI=1S/C14H22N2O3/c1-10(2)16-8-12(17)9-19-13-5-3-11(4-6-13)7-14(15)18/h3-6,10,12,16-17H,7-9H2,1-2H3,(H2,15,18)
- Stored Murcko scaffold
- c1ccccc1
Registry normalization: MIGRATED_RAW. A registry entry does not establish drug approval or clinical use.
Molecules with the same Murcko scaffold
Exact matches to the stored ring-and-linker framework. Sharing a scaffold does not by itself establish activity or applicability to a model.
- LOPAC 00581#12
- LOPAC 00647#13
- LOPAC 00664#17
- LOPAC 00648#23
- LOPAC 00659#34
- LOPAC 00679#39
- LOPAC 00602#47
- LOPAC 00690#61
- LOPAC 00170#70
- LOPAC 00706#83
- LOPAC 00655#85
- LOPAC 00487#90
- LOPAC 00687#95
- LOPAC 00082#113
- LOPAC 00576#119
- LOPAC 00573#122
- LOPAC 00246#125
- LOPAC 00748#128
- LOPAC 00749#138
- LOPAC 00724#142
Calculated molecular properties
Stored descriptor calculations, not measured experimental values.
- Hydrogen bond acceptors
- 4
- CDK 2.12 · 2026-08-19
- Hydrogen bond donors
- 3
- CDK 2.12 · 2026-08-19
- Rotatable bonds
- 8
- CDK 2.12 · 2026-08-19
- Topological polar surface area
- 84.58 Ų
- CDK 2.12 · 2026-08-19
- Molecular weight
- 266.337 g/mol
- CDK 2.12 · 2026-08-19
- XLogP
- 0.461
- CDK 2.12 · 2026-08-19
Saved model predictions
Computational predictions, not experimental measurements or clinical guidance. Results depend on the model build; applicability indicates similarity to its training chemistry.
Mitochondrial Fusion
Ensemble · model #19 · build #137
inactive
- Model confidence
- 93.6%
- Applicability domain
- In domain
- Scaffold similarity
- 58.9%
Recorded
Anti-fungal drug pump selectivity
Ensemble · model #18 · build #29
inactive
- Model confidence
- 85.9%
- Applicability domain
- In domain
- Scaffold similarity
- 63.2%
Recorded
Toxcicity
Ensemble · model #17 · build #28
toxicity reported
- Model confidence
- 71.4%
- Applicability domain
- In domain
- Scaffold similarity
- 58.8%
Recorded
Molecule Aggregation
Ensemble · model #16 · build #27
Non-aggregator
- Model confidence
- 75.5%
- Applicability domain
- Outside domain
- Scaffold similarity
- 41.3%
Recorded
Metabolite Likeness
Ensemble · model #15 · build #26
HMDB
- Model confidence
- 79.5%
- Applicability domain
- In domain
- Scaffold similarity
- 57.5%
Recorded
Molecule Autofluorescence
LibSVM · model #13 · build #152
Autofluorescence
- Model confidence
- 100.0%
- Applicability domain
- In domain
- Scaffold similarity
- 54.5%
Recorded
Cell Cycle Activation/Inhibition
NaiveBayes · model #10 · build #21
cellcycle-
- Model confidence
- 50.6%
- Applicability domain
- In domain
- Scaffold similarity
- 58.8%
Recorded
Blood Brain Barrier
RandomForest · model #7 · build #151
BBB-
- Model confidence
- 84.0%
- Applicability domain
- In domain
- Scaffold similarity
- 53.5%
Recorded
Derivation and validation of toxicophores for mutagenicity prediction
RandomForest · model #6 · build #15
nonmutagen
- Model confidence
- 84.0%
- Applicability domain
- In domain
- Scaffold similarity
- 66.2%
Recorded
Benchmark data set for in silico prediction of Ames mutagenicity
Ensemble2 · model #5 · build #134
none
- Model confidence
- 91.7%
- Applicability domain
- In domain
- Scaffold similarity
- 66.2%
Recorded
A predictive model for drug bioaccumulation and bioactivity in Caenorhabditis elegans
NaiveBayes · model #4 · build #14
none
- Model confidence
- 85.6%
- Applicability domain
- In domain
- Scaffold similarity
- 58.8%
Recorded
ADME evaluation in drug discovery: Correlation of Caco-2 permeation with simple molecular properties
Ensemble · model #2 · build #244
app-
- Model confidence
- 78.2%
- Applicability domain
- Outside domain
- Scaffold similarity
- 47.8%
Recorded
Chemical genetics reveals a complex functional ground state of neural stem cells
Ensemble · model #1 · build #16
Mutual
- Model confidence
- 92.9%
- Applicability domain
- In domain
- Scaffold similarity
- 58.8%
Recorded
Source datasets
Dataset registrations and identifiers stored in MolClass.
Compound induced Neuronal Stem Cell Differentiation
Dataset #1 · 112
Compound induced Neuronal Stem Cell Differentiation
Dataset #1 · 122
Compound induced Neuronal Stem Cell Differentiation
Dataset #1 · 88
Caco2 Penetration
Dataset #2 · atenolol
Toxicity Benchmark
Dataset #5 · 29122-68-7
P.falciparum Sensitivity
Dataset #8 · 2249
Liver Toxcicity
Dataset #17 · 103164873