Molecule card · MolClass #179
LOPAC 00759
LOPAC 00759: molecular structure, identifiers, source datasets and 13 saved model results in MolClass.
2 source records · 13 model builds with saved results
Explore classification modelsStructure and identifiers
- Imported compound names
- CorticosteroneCompound induced Neuronal Stem Cell Differentiation · compound_namecorticosteroneCaco2 Penetration · compound_name
- MolClass ID
- 179
- InChIKey
- OMFXVFTZEKFJBZ-UHFFFAOYSA-N
- Canonical SMILES
- [H]C34(CCC(C(=O)CO)C4(C)(CC(O)C2([H])(C3([H])(CCC1=CC(=O)CCC12(C)))))
- Standard InChI
- InChI=1S/C21H30O4/c1-20-8-7-13(23)9-12(20)3-4-14-15-5-6-16(18(25)11-22)21(15,2)10-17(24)19(14)20/h9,14-17,19,22,24H,3-8,10-11H2,1-2H3
- Stored Murcko scaffold
- C=1[CH]CCC2C1CCC3C2CCC4CCCC43
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 00951#509
- LOPAC 00948#536
- LOPAC 00944#563
- LOPAC 01120#822
- LOPAC 01179#961
- tesosterone#1259
- Medrysone#1323
- Norgestrel-(-)-D#1338
- Hydrocortisone base#1451
- Progesterone#1499
- Testosterone propionate#1508
- Ethisterone#1606
- Norethindrone#1609
- Corticosterone#1622
- Deoxycorticosterone#1924
- ETHISTERONE#2063
- NORETHINDRONE#2146
- FLUDROCORTISONE ACETATE#2217
- HYDROCORTISONE ACETATE#2219
- PROGESTERONE#2229
Calculated molecular properties
Stored descriptor calculations, not measured experimental values.
- Hydrogen bond acceptors
- 4
- CDK 2.12 · 2026-08-19
- Hydrogen bond donors
- 2
- CDK 2.12 · 2026-08-19
- Rotatable bonds
- 2
- CDK 2.12 · 2026-08-19
- Topological polar surface area
- 74.6 Ų
- CDK 2.12 · 2026-08-19
- Molecular weight
- 346.461 g/mol
- CDK 2.12 · 2026-08-19
- XLogP
- 1.704
- 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
- 90.7%
- Applicability domain
- In domain
- Scaffold similarity
- 99.4%
Recorded
Anti-fungal drug pump selectivity
Ensemble · model #18 · build #29
inactive
- Model confidence
- 89.4%
- Applicability domain
- In domain
- Scaffold similarity
- 100.0%
Recorded
Toxcicity
Ensemble · model #17 · build #28
toxicity reported
- Model confidence
- 57.1%
- Applicability domain
- In domain
- Scaffold similarity
- 100.0%
Recorded
Molecule Aggregation
Ensemble · model #16 · build #27
Non-aggregator
- Model confidence
- 100.0%
- Applicability domain
- Outside domain
- Scaffold similarity
- 38.3%
Recorded
Metabolite Likeness
Ensemble · model #15 · build #26
HMDB
- Model confidence
- 75.4%
- Applicability domain
- In domain
- Scaffold similarity
- 100.0%
Recorded
Molecule Autofluorescence
LibSVM · model #13 · build #152
mutual
- Model confidence
- 100.0%
- Applicability domain
- In domain
- Scaffold similarity
- 98.8%
Recorded
Cell Cycle Activation/Inhibition
NaiveBayes · model #10 · build #21
cellcycle+
- Model confidence
- 95.5%
- Applicability domain
- In domain
- Scaffold similarity
- 56.5%
Recorded
Blood Brain Barrier
RandomForest · model #7 · build #151
BBB-
- Model confidence
- 84.0%
- Applicability domain
- In domain
- Scaffold similarity
- 67.3%
Recorded
Derivation and validation of toxicophores for mutagenicity prediction
RandomForest · model #6 · build #15
nonmutagen
- Model confidence
- 96.0%
- Applicability domain
- In domain
- Scaffold similarity
- 100.0%
Recorded
Benchmark data set for in silico prediction of Ames mutagenicity
Ensemble2 · model #5 · build #134
none
- Model confidence
- 95.5%
- Applicability domain
- In domain
- Scaffold similarity
- 100.0%
Recorded
A predictive model for drug bioaccumulation and bioactivity in Caenorhabditis elegans
NaiveBayes · model #4 · build #14
none
- Model confidence
- 100.0%
- Applicability domain
- In domain
- Scaffold similarity
- 92.4%
Recorded
ADME evaluation in drug discovery: Correlation of Caco-2 permeation with simple molecular properties
Ensemble · model #2 · build #244
app-
- Model confidence
- 97.6%
- Applicability domain
- In domain
- Scaffold similarity
- 55.4%
Recorded
Chemical genetics reveals a complex functional ground state of neural stem cells
Ensemble · model #1 · build #16
Mutual
- Model confidence
- 87.4%
- Applicability domain
- In domain
- Scaffold similarity
- 98.8%
Recorded
Source datasets
Dataset registrations and identifiers stored in MolClass.
Compound induced Neuronal Stem Cell Differentiation
Dataset #1 · 186
Caco2 Penetration
Dataset #2 · corticosterone