Literature DB >> 33445429

Diverse Taxonomies for Diverse Chemistries: Enhanced Representation of Natural Product Metabolism in UniProtKB.

Marc Feuermann1, Emmanuel Boutet1, Anne Morgat1, Kristian B Axelsen1, Parit Bansal1, Jerven Bolleman1, Edouard de Castro1, Elisabeth Coudert1, Elisabeth Gasteiger1, Sébastien Géhant1, Damien Lieberherr1, Thierry Lombardot1, Teresa B Neto1, Ivo Pedruzzi1, Sylvain Poux1, Monica Pozzato1, Nicole Redaschi1, Alan Bridge1.   

Abstract

The UniProt Knowledgebase UniProtKB is a comprehensive, high-quality, and freely accessible resource of protein sequences and functional annotation that covers genomes and proteomes from tens of thousands of taxa, including a broad range of plants and microorganisms producing natural products of medical, nutritional, and agronomical interest. Here we describe work that enhances the utility of UniProtKB as a support for both the study of natural products and for their discovery. The foundation of this work is an improved representation of natural product metabolism in UniProtKB using Rhea, an expert-curated knowledgebase of biochemical reactions, that is built on the ChEBI (Chemical Entities of Biological Interest) ontology of small molecules. Knowledge of natural products and precursors is captured in ChEBI, enzyme-catalyzed reactions in Rhea, and enzymes in UniProtKB/Swiss-Prot, thereby linking chemical structure data directly to protein knowledge. We provide a practical demonstration of how users can search UniProtKB for protein knowledge relevant to natural products through interactive or programmatic queries using metabolite names and synonyms, chemical identifiers, chemical classes, and chemical structures and show how to federate UniProtKB with other data and knowledge resources and tools using semantic web technologies such as RDF and SPARQL. All UniProtKB data are freely available for download in a broad range of formats for users to further mine or exploit as an annotation source, to enrich other natural product datasets and databases.

Entities:  

Keywords:  RDF; SPARQL; biochemical reaction; biocuration; cheminformatics; enzyme; knowledge base; natural product; ontology; semantic web

Year:  2021        PMID: 33445429      PMCID: PMC7827101          DOI: 10.3390/metabo11010048

Source DB:  PubMed          Journal:  Metabolites        ISSN: 2218-1989


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