Structure of molecule 2127

Molecule card · MolClass #2127

AMBRETTOLIDE: wrong structure

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

1 source records · 13 model builds with saved results

Explore classification models

Structure and identifiers

Imported compound names
AMBRETTOLIDE: wrong structureCompound accumulation in C. elegans · compound_name
MolClass ID
2127
InChIKey
NVIPUOMWGQAOIT-UHFFFAOYSA-N
Canonical SMILES
O=C1CCCCCC=CCCCCCCCCO1
Standard InChI
InChI=1S/C16H28O2/c17-16-14-12-10-8-6-4-2-1-3-5-7-9-11-13-15-18-16/h2,4H,1,3,5-15H2
Stored Murcko scaffold
O1[CH]CCCCCC=CCCCCCCCC1

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
0
CDK 2.12 · 2026-08-19
Topological polar surface area
26.3 Ų
CDK 2.12 · 2026-08-19
Molecular weight
252.393 g/mol
CDK 2.12 · 2026-08-19
XLogP
6.109
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
60.9%
Applicability domain
In domain
Scaffold similarity
70.9%

Recorded

Anti-fungal drug pump selectivity

Ensemble · model #18 · build #29

inactive

Model confidence
89.6%
Applicability domain
In domain
Scaffold similarity
77.0%

Recorded

Toxcicity

Ensemble · model #17 · build #28

toxicity reported

Model confidence
55.0%
Applicability domain
In domain
Scaffold similarity
66.8%

Recorded

Molecule Aggregation

Ensemble · model #16 · build #27

Non-aggregator

Model confidence
93.8%
Applicability domain
Outside domain
Scaffold similarity
31.9%

Recorded

Metabolite Likeness

Ensemble · model #15 · build #26

HMDB

Model confidence
87.5%
Applicability domain
In domain
Scaffold similarity
73.3%

Recorded

Molecule Autofluorescence

LibSVM · model #13 · build #152

mutual

Model confidence
100.0%
Applicability domain
In domain
Scaffold similarity
72.3%

Recorded

Cell Cycle Activation/Inhibition

NaiveBayes · model #10 · build #21

cellcycle-

Model confidence
81.6%
Applicability domain
Outside domain
Scaffold similarity
48.8%

Recorded

Blood Brain Barrier

RandomForest · model #7 · build #151

BBB+

Model confidence
91.0%
Applicability domain
Outside domain
Scaffold similarity
45.6%

Recorded

Derivation and validation of toxicophores for mutagenicity prediction

RandomForest · model #6 · build #15

nonmutagen

Model confidence
79.0%
Applicability domain
In domain
Scaffold similarity
68.1%

Recorded

Benchmark data set for in silico prediction of Ames mutagenicity

Ensemble2 · model #5 · build #134

none

Model confidence
100.0%
Applicability domain
In domain
Scaffold similarity
77.9%

Recorded

A predictive model for drug bioaccumulation and bioactivity in Caenorhabditis elegans

NaiveBayes · model #4 · build #14

none

Model confidence
99.6%
Applicability domain
In domain
Scaffold similarity
79.0%

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
Outside domain
Scaffold similarity
47.9%

Recorded

Chemical genetics reveals a complex functional ground state of neural stem cells

Ensemble · model #1 · build #16

Mutual

Model confidence
87.3%
Applicability domain
In domain
Scaffold similarity
69.0%

Recorded

Source datasets

Dataset registrations and identifiers stored in MolClass.

  • Compound accumulation in C. elegans

    Dataset #4 · -4.00857432879868