ChemFOnt
ChemFOnt describes functions and actions of over 341,000 biologically significant chemicals in a hierarchical ontology compatible with the Web Ontology Language (OWL) for computational integration.
Key Features:
- Coverage: ChemFOnt encompasses over 341,000 chemicals including primary metabolites, secondary metabolites, natural products, food chemicals, synthetic additives, drugs, herbicides, pesticides, and environmental chemicals.
- OWL compatibility: The ontology is formatted for the Web Ontology Language (OWL) to enable integration into computational frameworks and databases.
- Hierarchical structure: Organized into four functional aspects, 12 super-categories, 173,705 functional terms, and 4,825 structure-based chemical classes.
- Relationship network: Includes approximately 3.9 million protein-chemical relationships and approximately 10.3 million chemical-functional relationships.
- FAIR compliance: Curated to adhere to the FAIR principles (Findable, Accessible, Interoperable, Reusable) for standardized chemical function annotation.
Scientific Applications:
- Data enrichment: Integration with omics datasets and analytical software generates machine-readable chemical-functional and protein-chemical relationships to enhance analyses.
- Inference generation: Enables inference of direct and indirect chemical interactions and effects to support hypothesis generation and testing.
- Cross-disciplinary integration: Standardizes chemical function terminology for use across metabolomics, exposomics, metagenomics, genomics, proteomics, and chemistry databases and tools.
Methodology:
Distributed in OWL format to permit incorporation of the ontology into databases and software.
Topics
Details
- License:
- CC-BY-NC-4.0
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 12/27/2022
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
Ontology visualisation
Inputs
Outputs
Publications
Wishart DS, Girod S, Peters H, Oler E, Jovel J, Budinski Z, Milford R, Lui VW, Sayeeda Z, Mah R, Wei W, Badran H, Lo E, Yamamoto M, Djoumbou-Feunang Y, Karu N, Gautam V. ChemFOnt: the chemical functional ontology resource. Nucleic Acids Research. 2022;51(D1):D1220-D1229. doi:10.1093/nar/gkac919. PMID:36305829. PMCID:PMC9825615.