Structure of molecule 2151

Molecule card · MolClass #2151

DICTAMNINE

DICTAMNINE: molecular structure, identifiers, source datasets and 13 saved model results in MolClass.

3 source records · 13 model builds with saved results

Explore classification models

Structure and identifiers

Imported compound names
DICTAMNINECompound accumulation in C. elegans · compound_name
MolClass ID
2151
InChIKey
WIONIXOBNMDJFJ-UHFFFAOYSA-N
Canonical SMILES
COc2c3ccccc3(nc1occc12)
Standard InChI
InChI=1S/C12H9NO2/c1-14-11-8-4-2-3-5-10(8)13-12-9(11)6-7-15-12/h2-7H,1H3
Stored Murcko scaffold
n1c2occc2cc3ccccc13

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.

Calculated molecular properties

Stored descriptor calculations, not measured experimental values.

Hydrogen bond acceptors
1
CDK 2.12 · 2026-08-19
Hydrogen bond donors
0
CDK 2.12 · 2026-08-19
Rotatable bonds
1
CDK 2.12 · 2026-08-19
Topological polar surface area
35.26 Ų
CDK 2.12 · 2026-08-19
Molecular weight
199.206 g/mol
CDK 2.12 · 2026-08-19
XLogP
2.811
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
96.0%
Applicability domain
In domain
Scaffold similarity
70.6%

Recorded

Anti-fungal drug pump selectivity

Ensemble · model #18 · build #29

inactive

Model confidence
71.5%
Applicability domain
In domain
Scaffold similarity
72.5%

Recorded

Toxcicity

Ensemble · model #17 · build #28

toxicity reported

Model confidence
86.6%
Applicability domain
Outside domain
Scaffold similarity
41.5%

Recorded

Molecule Aggregation

Ensemble · model #16 · build #27

Aggregator

Model confidence
61.3%
Applicability domain
Outside domain
Scaffold similarity
44.3%

Recorded

Metabolite Likeness

Ensemble · model #15 · build #26

HMDB

Model confidence
74.3%
Applicability domain
Outside domain
Scaffold similarity
37.2%

Recorded

Molecule Autofluorescence

LibSVM · model #13 · build #152

Autofluorescence

Model confidence
100.0%
Applicability domain
In domain
Scaffold similarity
53.8%

Recorded

Cell Cycle Activation/Inhibition

NaiveBayes · model #10 · build #21

cellcycle+

Model confidence
53.5%
Applicability domain
Outside domain
Scaffold similarity
37.8%

Recorded

Blood Brain Barrier

RandomForest · model #7 · build #151

BBB+

Model confidence
86.0%
Applicability domain
Outside domain
Scaffold similarity
31.5%

Recorded

Derivation and validation of toxicophores for mutagenicity prediction

RandomForest · model #6 · build #15

mutagen

Model confidence
76.0%
Applicability domain
In domain
Scaffold similarity
66.5%

Recorded

Benchmark data set for in silico prediction of Ames mutagenicity

Ensemble2 · model #5 · build #134

Toxic

Model confidence
77.2%
Applicability domain
In domain
Scaffold similarity
64.8%

Recorded

A predictive model for drug bioaccumulation and bioactivity in Caenorhabditis elegans

NaiveBayes · model #4 · build #14

Accumulates

Model confidence
97.5%
Applicability domain
Outside domain
Scaffold similarity
44.0%

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
29.9%

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
Outside domain
Scaffold similarity
41.8%

Recorded

Source datasets

Dataset registrations and identifiers stored in MolClass.

  • Compound accumulation in C. elegans

    Dataset #4 · -4.82592515136884

  • Toxicity Benchmark

    Dataset #5 · 484-29-7

  • Ames Categorization

    Dataset #6 · 484-29-7