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.
Downloads
- Software packagehttp://hurlab.med.und.edu/tox21enricher_db.tar.gz