Molecule card · MolClass #80416
FM 00281
FM 00281: 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
- FM 00281Yeast Bioactive Library Cross-Kingdom · compound_name
- MolClass ID
- 80416
- InChIKey
- BHNOUBHGLGPVJN-UHFFFAOYSA-N
- Canonical SMILES
- Cc3ccc(OCC1N(CCS1)C(=O)c2ccc(cc2)C(F)(F)F)c(c3)[N+](=O)[O-]
- Standard InChI
- InChI=1S/C19H17F3N2O4S/c1-12-2-7-16(15(10-12)24(26)27)28-11-17-23(8-9-29-17)18(25)13-3-5-14(6-4-13)19(20,21)22/h2-7,10,17H,8-9,11H2,1H3
- Stored Murcko scaffold
- O(c1ccccc1)CC2SCCN2[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
- 2
- CDK 2.12 · 2026-08-19
- Hydrogen bond donors
- 0
- CDK 2.12 · 2026-08-19
- Rotatable bonds
- 7
- CDK 2.12 · 2026-08-19
- Topological polar surface area
- 97.98 Ų
- CDK 2.12 · 2026-08-19
- Molecular weight
- 426.411 g/mol
- CDK 2.12 · 2026-08-19
- XLogP
- 4.99
- 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
- 65.6%
- Applicability domain
- In domain
- Scaffold similarity
- 54.0%
Recorded
Anti-fungal drug pump selectivity
Ensemble · model #18 · build #29
active
- Model confidence
- 80.8%
- Applicability domain
- In domain
- Scaffold similarity
- 55.1%
Recorded
Toxcicity
Ensemble · model #17 · build #28
toxicity reported
- Model confidence
- 83.3%
- Applicability domain
- Outside domain
- Scaffold similarity
- 40.8%
Recorded
Molecule Aggregation
Ensemble · model #16 · build #27
Aggregator
- Model confidence
- 65.3%
- Applicability domain
- Outside domain
- Scaffold similarity
- 38.9%
Recorded
Metabolite Likeness
Ensemble · model #15 · build #26
ZINC
- Model confidence
- 100.0%
- Applicability domain
- Outside domain
- Scaffold similarity
- 42.3%
Recorded
Molecule Autofluorescence
LibSVM · model #13 · build #152
Autofluorescence
- Model confidence
- 100.0%
- Applicability domain
- Outside domain
- Scaffold similarity
- 39.4%
Recorded
Blood Brain Barrier
RandomForest · model #7 · build #151
BBB-
- Model confidence
- 55.0%
- Applicability domain
- Outside domain
- Scaffold similarity
- 38.7%
Recorded
Derivation and validation of toxicophores for mutagenicity prediction
RandomForest · model #6 · build #15
mutagen
- Model confidence
- 69.0%
- Applicability domain
- Outside domain
- Scaffold similarity
- 47.6%
Recorded
Benchmark data set for in silico prediction of Ames mutagenicity
Ensemble2 · model #5 · build #134
none
- Model confidence
- 67.0%
- Applicability domain
- Outside domain
- Scaffold similarity
- 37.4%
Recorded
A predictive model for drug bioaccumulation and bioactivity in Caenorhabditis elegans
NaiveBayes · model #4 · build #14
none
- Model confidence
- 100.0%
- Applicability domain
- Outside domain
- Scaffold similarity
- 32.4%
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
- 25.3%
Recorded
Chemical genetics reveals a complex functional ground state of neural stem cells
Ensemble · model #1 · build #16
Mutual
- Model confidence
- 89.0%
- Applicability domain
- Outside domain
- Scaffold similarity
- 37.7%
Recorded
Source datasets
Dataset registrations and identifiers stored in MolClass.
Yeast Bioactive Library Cross-Kingdom
Dataset #23 · FM 00281