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ChemFOnt: the chemical functional ontology resource

Authors :
David S Wishart
Sagan Girod
Harrison Peters
Eponine Oler
Juan Jovel
Zachary Budinski
Ralph Milford
Vicki W Lui
Zinat Sayeeda
Robert Mah
William Wei
Hasan Badran
Elvis Lo
Mai Yamamoto
Yannick Djoumbou-Feunang
Naama Karu
Vasuk Gautam
Source :
Nucleic Acids Research. 51:D1220-D1229
Publication Year :
2022
Publisher :
Oxford University Press (OUP), 2022.

Abstract

The Chemical Functional Ontology (ChemFOnt), located at https://www.chemfont.ca, is a hierarchical, OWL-compatible ontology describing the functions and actions of >341 000 biologically important chemicals. These include primary metabolites, secondary metabolites, natural products, food chemicals, synthetic food additives, drugs, herbicides, pesticides and environmental chemicals. ChemFOnt is a FAIR-compliant resource intended to bring the same rigor, standardization and formal structure to the terms and terminology used in biochemistry, food chemistry and environmental chemistry as the gene ontology (GO) has brought to molecular biology. ChemFOnt is available as both a freely accessible, web-enabled database and a downloadable Web Ontology Language (OWL) file. Users may download and deploy ChemFOnt within their own chemical databases or integrate ChemFOnt into their own analytical software to generate machine readable relationships that can be used to make new inferences, enrich their omics data sets or make new, non-obvious connections between chemicals and their direct or indirect effects. The web version of the ChemFOnt database has been designed to be easy to search, browse and navigate. Currently ChemFOnt contains data on 341 627 chemicals, including 515 332 terms or definitions. The functional hierarchy for ChemFOnt consists of four functional ‘aspects’, 12 functional super-categories and a total of 173 705 functional terms. In addition, each of the chemicals are classified into 4825 structure-based chemical classes. ChemFOnt currently contains 3.9 million protein-chemical relationships and ∼10.3 million chemical-functional relationships. The long-term goal for ChemFOnt is for it to be adopted by databases and software tools used by the general chemistry community as well as the metabolomics, exposomics, metagenomics, genomics and proteomics communities.

Subjects

Subjects :
Genetics

Details

ISSN :
13624962 and 03051048
Volume :
51
Database :
OpenAIRE
Journal :
Nucleic Acids Research
Accession number :
edsair.doi.dedup.....2dd01e1a087d3d3c58cc027d1aac5bf8
Full Text :
https://doi.org/10.1093/nar/gkac919