Molecule card · MolClass #57567
KM 06494
KM 06494: molecular structure, identifiers, source datasets and 12 saved model results in MolClass.
1 source records · 12 model builds with saved results
Explore classification modelsStructure and identifiers
- Imported compound names
- KM 06494Yeast Bioactive Library Cross-Kingdom · compound_name
- MolClass ID
- 57567
- InChIKey
- QSDRTQXKVHEMQA-UHFFFAOYSA-N
- Canonical SMILES
- CS(=NC(=O)c1cccc(c1)Cl)c2ccc(cc2)OC(=O)c3ccc(cc3)Cl
- Standard InChI
- InChI=1S/C21H15Cl2NO3S/c1-28(24-20(25)15-3-2-4-17(23)13-15)19-11-9-18(10-12-19)27-21(26)14-5-7-16(22)8-6-14/h2-13H,1H3
- Stored Murcko scaffold
- N(=[S]c1ccc(O[CH]c2ccccc2)cc1)[CH]c3ccccc3
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.
No other molecules currently have this stored scaffold.
Calculated molecular properties
Stored descriptor calculations, not measured experimental values.
- Hydrogen bond acceptors
- 3
- CDK 2.12 · 2026-08-19
- Hydrogen bond donors
- 0
- CDK 2.12 · 2026-08-19
- Rotatable bonds
- 6
- CDK 2.12 · 2026-08-19
- Topological polar surface area
- 74.94 Ų
- CDK 2.12 · 2026-08-19
- Molecular weight
- 432.321 g/mol
- CDK 2.12 · 2026-08-19
- XLogP
- 6.888
- 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
active
- Model confidence
- 89.0%
- Applicability domain
- In domain
- Scaffold similarity
- 52.0%
Recorded
Anti-fungal drug pump selectivity
Ensemble · model #18 · build #29
inactive
- Model confidence
- 82.1%
- Applicability domain
- Outside domain
- Scaffold similarity
- 43.8%
Recorded
Toxcicity
Ensemble · model #17 · build #28
no toxicity reported
- Model confidence
- 64.4%
- Applicability domain
- Outside domain
- Scaffold similarity
- 42.6%
Recorded
Molecule Aggregation
Ensemble · model #16 · build #27
Aggregator
- Model confidence
- 97.0%
- Applicability domain
- Outside domain
- Scaffold similarity
- 42.5%
Recorded
Metabolite Likeness
Ensemble · model #15 · build #26
ZINC
- Model confidence
- 100.0%
- Applicability domain
- Outside domain
- Scaffold similarity
- 39.3%
Recorded
Molecule Autofluorescence
LibSVM · model #13 · build #152
Autofluorescence
- Model confidence
- 100.0%
- Applicability domain
- Outside domain
- Scaffold similarity
- 39.8%
Recorded
Blood Brain Barrier
RandomForest · model #7 · build #151
BBB+
- Model confidence
- 56.9%
- Applicability domain
- Outside domain
- Scaffold similarity
- 26.8%
Recorded
Derivation and validation of toxicophores for mutagenicity prediction
RandomForest · model #6 · build #15
nonmutagen
- Model confidence
- 79.0%
- Applicability domain
- Outside domain
- Scaffold similarity
- 47.7%
Recorded
Benchmark data set for in silico prediction of Ames mutagenicity
Ensemble2 · model #5 · build #134
none
- Model confidence
- 71.4%
- Applicability domain
- Outside domain
- Scaffold similarity
- 47.7%
Recorded
A predictive model for drug bioaccumulation and bioactivity in Caenorhabditis elegans
NaiveBayes · model #4 · build #14
none
- Model confidence
- 91.7%
- Applicability domain
- Outside domain
- Scaffold similarity
- 43.8%
Recorded
ADME evaluation in drug discovery: Correlation of Caco-2 permeation with simple molecular properties
Ensemble · model #2 · build #244
app-
- Model confidence
- 79.1%
- Applicability domain
- Outside domain
- Scaffold similarity
- 32.2%
Recorded
Chemical genetics reveals a complex functional ground state of neural stem cells
Ensemble · model #1 · build #16
Mutual
- Model confidence
- 75.7%
- Applicability domain
- Outside domain
- Scaffold similarity
- 41.0%
Recorded
Source datasets
Dataset registrations and identifiers stored in MolClass.
Yeast Bioactive Library Cross-Kingdom
Dataset #23 · KM 06494