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Updated: May 23, 2026
09:20
Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
Published on: February 23, 2019
Metab2MeSH: annotating compounds with medical subject headings
Maureen A Sartor1, Alex Ade, Zach Wright
1National Center for Integrative Biomedical Informatics, University of Michigan, Ann Arbor, MI 48109, USA.
Bioinformatics (Oxford, England)
|April 12, 2012
Summary
Metab2MeSH automatically annotates small molecules with biomedical concepts from Medical Subject Headings. This tool links metabolites to relevant literature, addressing a gap in current bioinformatics resources.
Area of Science:
- Bioinformatics
- Metabolomics
- Biomedical Informatics
Background:
- Genomic technologies have yielded resources linking genes to biomedical literature.
- Tools for linking small molecules to physiology and literature are lacking.
- Metabolomics is an emerging omics field requiring metabolite annotation.
Purpose of the Study:
- To develop a tool for automatic annotation of small molecules.
- To link metabolites to biomedical concepts and literature.
- To complement existing databases like PubChem.
Main Methods:
- Utilized a statistical approach for compound annotation.
- Integrated with Medical Subject Headings (MeSH) vocabulary.
- Developed the Metab2MeSH tool for automated annotation.
Main Results:
- Successfully annotated small molecules with MeSH concepts.
- Provided reliable and automatic annotation of compounds.
- Established links from metabolites to relevant biomedical literature.
Conclusions:
- Metab2MeSH addresses the need for small molecule annotation in metabolomics.
- The tool enhances access to literature relevant to small molecules.
- It complements existing resources by providing literature links.
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