Tox21Enricher

Tox21Enricher performs enrichment analysis of chemical sets to identify toxicological, mechanistic, and chemical annotations for hypothesis generation.


Key Features:

  • Input identifier support: Accepts InChI strings, CASRN (Chemical Abstracts Service Registry Numbers), and SMILES identifiers as input.
  • Reactive chemical filtering: Automatically detects and excludes chemicals containing reactive functional groups such as nitrile, aldehyde, epoxide, and isocyanate from analyses.
  • Annotation detection: Identifies overrepresented annotations including receptor binding activities, carcinogenicity, and toxicologically relevant chemical substructures.
  • Tox21 screening integration: Analyzes sets of compounds screened using the Tox21 platform to derive enriched annotations.
  • Visualization outputs: Generates data visualization outputs to summarize enrichment results.
  • Database backend: Uses Postgres for database management and querying of annotation data.

Scientific Applications:

  • Mechanistic annotation: Infers mechanistic properties of chemicals by identifying enriched biological and chemical annotations.
  • Toxicological hypothesis generation: Supports generation of hypotheses about potential toxicological effects of untested chemicals based on enriched annotations and structural or biological similarities to known substances.

Methodology:

Identifies overrepresented annotations such as receptor binding activities, carcinogenicity, and toxicologically relevant chemical substructures within input chemical sets and excludes chemicals with reactive functional groups (nitrile, aldehyde, epoxide, isocyanate); stores and queries annotation data using Postgres.

Topics

Details

License:
CC-BY-4.0
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
R
Added:
1/8/2024
Last Updated:
11/24/2024

Operations

Publications

Combs P, Erickson J, Hsieh J, Guo K, Nolte S, Schmitt C, Auerbach S, Hur J. Tox21Enricher-Shiny: an R Shiny application for toxicity functional annotation analysis. Frontiers in Toxicology. 2023;5. doi:10.3389/ftox.2023.1147608. PMID:37441091. PMCID:PMC10333489.

PMID: 37441091
Funding: - National Institute of Environmental Health Sciences: ES103318 - National Institute of General Medical Sciences: P20GM113123

Downloads