Structure of molecule 2326

Molecule card · MolClass #2326

SULFAMETHAZINE

SULFAMETHAZINE: 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
SULFAMETHAZINECompound accumulation in C. elegans · compound_name
103165769Liver Toxcicity · compound_name
MolClass ID
2326
InChIKey
ASWVTGNCAZCNNR-UHFFFAOYSA-N
Canonical SMILES
Cc1cc(C)nc(n1)NS(=O)(=O)c2ccc(N)cc2
Standard InChI
InChI=1S/C12H14N4O2S/c1-8-7-9(2)15-12(14-8)16-19(17,18)11-5-3-10(13)4-6-11/h3-7H,13H2,1-2H3,(H,14,15,16)
Stored Murcko scaffold
n1cccnc1NSc2ccccc2

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
6
CDK 2.12 · 2026-08-19
Hydrogen bond donors
2
CDK 2.12 · 2026-08-19
Rotatable bonds
3
CDK 2.12 · 2026-08-19
Topological polar surface area
106.35 Ų
CDK 2.12 · 2026-08-19
Molecular weight
278.332 g/mol
CDK 2.12 · 2026-08-19
XLogP
0.963
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
51.5%

Recorded

Anti-fungal drug pump selectivity

Ensemble · model #18 · build #29

active

Model confidence
72.4%
Applicability domain
In domain
Scaffold similarity
74.0%

Recorded

Toxcicity

Ensemble · model #17 · build #28

toxicity reported

Model confidence
85.5%
Applicability domain
In domain
Scaffold similarity
61.0%

Recorded

Molecule Aggregation

Ensemble · model #16 · build #27

Non-aggregator

Model confidence
57.1%
Applicability domain
Outside domain
Scaffold similarity
41.2%

Recorded

Metabolite Likeness

Ensemble · model #15 · build #26

ZINC

Model confidence
100.0%
Applicability domain
Outside domain
Scaffold similarity
38.5%

Recorded

Molecule Autofluorescence

LibSVM · model #13 · build #152

Autofluorescence

Model confidence
100.0%
Applicability domain
In domain
Scaffold similarity
54.7%

Recorded

Cell Cycle Activation/Inhibition

NaiveBayes · model #10 · build #21

cellcycle+

Model confidence
90.7%
Applicability domain
Outside domain
Scaffold similarity
30.2%

Recorded

Blood Brain Barrier

RandomForest · model #7 · build #151

BBB+

Model confidence
68.0%
Applicability domain
Outside domain
Scaffold similarity
45.1%

Recorded

Derivation and validation of toxicophores for mutagenicity prediction

RandomForest · model #6 · build #15

nonmutagen

Model confidence
84.0%
Applicability domain
Outside domain
Scaffold similarity
46.4%

Recorded

Benchmark data set for in silico prediction of Ames mutagenicity

Ensemble2 · model #5 · build #134

none

Model confidence
87.7%
Applicability domain
In domain
Scaffold similarity
58.9%

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
56.9%

Recorded

ADME evaluation in drug discovery: Correlation of Caco-2 permeation with simple molecular properties

Ensemble · model #2 · build #244

app+

Model confidence
82.0%
Applicability domain
Outside domain
Scaffold similarity
33.7%

Recorded

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

Ensemble · model #1 · build #16

Mutual

Model confidence
84.5%
Applicability domain
Outside domain
Scaffold similarity
40.1%

Recorded

Source datasets

Dataset registrations and identifiers stored in MolClass.

  • Compound accumulation in C. elegans

    Dataset #4 · -15.6574766729719

  • Toxicity Benchmark

    Dataset #5 · 57-68-1

  • Liver Toxcicity

    Dataset #17 · 103165769