Metab2MeSH: annotating compounds with medical subject headings.

TitleMetab2MeSH: annotating compounds with medical subject headings.
Publication TypeJournal Article
Year of Publication2012
AuthorsSartor, Maureen A., Ade Alex, Wright Zach, States David, Omenn Gilbert S., Athey Brian, and Karnovsky Alla
JournalBioinformatics
Volume28
Issue10
Pagination1408-10
Date Published2012 May 15
ISSN1367-4811
KeywordsDatabases, Chemical, Databases, Genetic, Humans, Medical Subject Headings, Metabolomics, Neoplasms, Vocabulary, Controlled
Abstract

SUMMARY: Progress in high-throughput genomic technologies has led to the development of a variety of resources that link genes to functional information contained in the biomedical literature. However, tools attempting to link small molecules to normal and diseased physiology and published data relevant to biologists and clinical investigators, are still lacking. With metabolomics rapidly emerging as a new omics field, the task of annotating small molecule metabolites becomes highly relevant. Our tool Metab2MeSH uses a statistical approach to reliably and automatically annotate compounds with concepts defined in Medical Subject Headings, and the National Library of Medicine's controlled vocabulary for biomedical concepts. These annotations provide links from compounds to biomedical literature and complement existing resources such as PubChem and the Human Metabolome Database.

DOI10.1093/bioinformatics/bts156
Alternate JournalBioinformatics
PubMed ID22492643
PubMed Central IDPMC3348562
Grant ListP30 ES017885 / ES / NIEHS NIH HHS / United States
U54DA21519 / DA / NIDA NIH HHS / United States