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Annotation of biologically relevant ligands in UniProtKB using ChEBI
MOTIVATION: To provide high quality, computationally tractable annotation of binding sites for biologically relevant (cognate) ligands in UniProtKB using the chemical ontology ChEBI (Chemical Entities of Biological Interest), to better support efforts to study and predict functionally relevant inter...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825770/ https://www.ncbi.nlm.nih.gov/pubmed/36484697 http://dx.doi.org/10.1093/bioinformatics/btac793 |
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author | Coudert, Elisabeth Gehant, Sebastien de Castro, Edouard Pozzato, Monica Baratin, Delphine Neto, Teresa Sigrist, Christian J A Redaschi, Nicole Bridge, Alan |
author_facet | Coudert, Elisabeth Gehant, Sebastien de Castro, Edouard Pozzato, Monica Baratin, Delphine Neto, Teresa Sigrist, Christian J A Redaschi, Nicole Bridge, Alan |
author_sort | Coudert, Elisabeth |
collection | PubMed |
description | MOTIVATION: To provide high quality, computationally tractable annotation of binding sites for biologically relevant (cognate) ligands in UniProtKB using the chemical ontology ChEBI (Chemical Entities of Biological Interest), to better support efforts to study and predict functionally relevant interactions between protein sequences and structures and small molecule ligands. RESULTS: We structured the data model for cognate ligand binding site annotations in UniProtKB and performed a complete reannotation of all cognate ligand binding sites using stable unique identifiers from ChEBI, which we now use as the reference vocabulary for all such annotations. We developed improved search and query facilities for cognate ligands in the UniProt website, REST API and SPARQL endpoint that leverage the chemical structure data, nomenclature and classification that ChEBI provides. AVAILABILITY AND IMPLEMENTATION: Binding site annotations for cognate ligands described using ChEBI are available for UniProtKB protein sequence records in several formats (text, XML and RDF) and are freely available to query and download through the UniProt website (www.uniprot.org), REST API (www.uniprot.org/help/api), SPARQL endpoint (sparql.uniprot.org/) and FTP site (https://ftp.uniprot.org/pub/databases/uniprot/). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-9825770 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98257702023-01-10 Annotation of biologically relevant ligands in UniProtKB using ChEBI Coudert, Elisabeth Gehant, Sebastien de Castro, Edouard Pozzato, Monica Baratin, Delphine Neto, Teresa Sigrist, Christian J A Redaschi, Nicole Bridge, Alan Bioinformatics Original Paper MOTIVATION: To provide high quality, computationally tractable annotation of binding sites for biologically relevant (cognate) ligands in UniProtKB using the chemical ontology ChEBI (Chemical Entities of Biological Interest), to better support efforts to study and predict functionally relevant interactions between protein sequences and structures and small molecule ligands. RESULTS: We structured the data model for cognate ligand binding site annotations in UniProtKB and performed a complete reannotation of all cognate ligand binding sites using stable unique identifiers from ChEBI, which we now use as the reference vocabulary for all such annotations. We developed improved search and query facilities for cognate ligands in the UniProt website, REST API and SPARQL endpoint that leverage the chemical structure data, nomenclature and classification that ChEBI provides. AVAILABILITY AND IMPLEMENTATION: Binding site annotations for cognate ligands described using ChEBI are available for UniProtKB protein sequence records in several formats (text, XML and RDF) and are freely available to query and download through the UniProt website (www.uniprot.org), REST API (www.uniprot.org/help/api), SPARQL endpoint (sparql.uniprot.org/) and FTP site (https://ftp.uniprot.org/pub/databases/uniprot/). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2022-12-09 /pmc/articles/PMC9825770/ /pubmed/36484697 http://dx.doi.org/10.1093/bioinformatics/btac793 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Paper Coudert, Elisabeth Gehant, Sebastien de Castro, Edouard Pozzato, Monica Baratin, Delphine Neto, Teresa Sigrist, Christian J A Redaschi, Nicole Bridge, Alan Annotation of biologically relevant ligands in UniProtKB using ChEBI |
title | Annotation of biologically relevant ligands in UniProtKB using ChEBI |
title_full | Annotation of biologically relevant ligands in UniProtKB using ChEBI |
title_fullStr | Annotation of biologically relevant ligands in UniProtKB using ChEBI |
title_full_unstemmed | Annotation of biologically relevant ligands in UniProtKB using ChEBI |
title_short | Annotation of biologically relevant ligands in UniProtKB using ChEBI |
title_sort | annotation of biologically relevant ligands in uniprotkb using chebi |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825770/ https://www.ncbi.nlm.nih.gov/pubmed/36484697 http://dx.doi.org/10.1093/bioinformatics/btac793 |
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