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The representation of protein complexes in the Protein Ontology (PRO)
BACKGROUND: Representing species-specific proteins and protein complexes in ontologies that are both human- and machine-readable facilitates the retrieval, analysis, and interpretation of genome-scale data sets. Although existing protin-centric informatics resources provide the biomedical research c...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3189193/ https://www.ncbi.nlm.nih.gov/pubmed/21929785 http://dx.doi.org/10.1186/1471-2105-12-371 |
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author | Bult, Carol J Drabkin, Harold J Evsikov, Alexei Natale, Darren Arighi, Cecilia Roberts, Natalia Ruttenberg, Alan D'Eustachio, Peter Smith, Barry Blake, Judith A Wu, Cathy |
author_facet | Bult, Carol J Drabkin, Harold J Evsikov, Alexei Natale, Darren Arighi, Cecilia Roberts, Natalia Ruttenberg, Alan D'Eustachio, Peter Smith, Barry Blake, Judith A Wu, Cathy |
author_sort | Bult, Carol J |
collection | PubMed |
description | BACKGROUND: Representing species-specific proteins and protein complexes in ontologies that are both human- and machine-readable facilitates the retrieval, analysis, and interpretation of genome-scale data sets. Although existing protin-centric informatics resources provide the biomedical research community with well-curated compendia of protein sequence and structure, these resources lack formal ontological representations of the relationships among the proteins themselves. The Protein Ontology (PRO) Consortium is filling this informatics resource gap by developing ontological representations and relationships among proteins and their variants and modified forms. Because proteins are often functional only as members of stable protein complexes, the PRO Consortium, in collaboration with existing protein and pathway databases, has launched a new initiative to implement logical and consistent representation of protein complexes. DESCRIPTION: We describe here how the PRO Consortium is meeting the challenge of representing species-specific protein complexes, how protein complex representation in PRO supports annotation of protein complexes and comparative biology, and how PRO is being integrated into existing community bioinformatics resources. The PRO resource is accessible at http://pir.georgetown.edu/pro/. CONCLUSION: PRO is a unique database resource for species-specific protein complexes. PRO facilitates robust annotation of variations in composition and function contexts for protein complexes within and between species. |
format | Online Article Text |
id | pubmed-3189193 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-31891932011-10-08 The representation of protein complexes in the Protein Ontology (PRO) Bult, Carol J Drabkin, Harold J Evsikov, Alexei Natale, Darren Arighi, Cecilia Roberts, Natalia Ruttenberg, Alan D'Eustachio, Peter Smith, Barry Blake, Judith A Wu, Cathy BMC Bioinformatics Database BACKGROUND: Representing species-specific proteins and protein complexes in ontologies that are both human- and machine-readable facilitates the retrieval, analysis, and interpretation of genome-scale data sets. Although existing protin-centric informatics resources provide the biomedical research community with well-curated compendia of protein sequence and structure, these resources lack formal ontological representations of the relationships among the proteins themselves. The Protein Ontology (PRO) Consortium is filling this informatics resource gap by developing ontological representations and relationships among proteins and their variants and modified forms. Because proteins are often functional only as members of stable protein complexes, the PRO Consortium, in collaboration with existing protein and pathway databases, has launched a new initiative to implement logical and consistent representation of protein complexes. DESCRIPTION: We describe here how the PRO Consortium is meeting the challenge of representing species-specific protein complexes, how protein complex representation in PRO supports annotation of protein complexes and comparative biology, and how PRO is being integrated into existing community bioinformatics resources. The PRO resource is accessible at http://pir.georgetown.edu/pro/. CONCLUSION: PRO is a unique database resource for species-specific protein complexes. PRO facilitates robust annotation of variations in composition and function contexts for protein complexes within and between species. BioMed Central 2011-09-19 /pmc/articles/PMC3189193/ /pubmed/21929785 http://dx.doi.org/10.1186/1471-2105-12-371 Text en Copyright ©2011 Bult et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Bult, Carol J Drabkin, Harold J Evsikov, Alexei Natale, Darren Arighi, Cecilia Roberts, Natalia Ruttenberg, Alan D'Eustachio, Peter Smith, Barry Blake, Judith A Wu, Cathy The representation of protein complexes in the Protein Ontology (PRO) |
title | The representation of protein complexes in the Protein Ontology (PRO) |
title_full | The representation of protein complexes in the Protein Ontology (PRO) |
title_fullStr | The representation of protein complexes in the Protein Ontology (PRO) |
title_full_unstemmed | The representation of protein complexes in the Protein Ontology (PRO) |
title_short | The representation of protein complexes in the Protein Ontology (PRO) |
title_sort | representation of protein complexes in the protein ontology (pro) |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3189193/ https://www.ncbi.nlm.nih.gov/pubmed/21929785 http://dx.doi.org/10.1186/1471-2105-12-371 |
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