Cargando…
Framework for a Protein Ontology
Biomedical ontologies are emerging as critical tools in genomic and proteomic research, where complex data in disparate resources need to be integrated. A number of ontologies describe properties that can be attributed to proteins. For example, protein functions are described by the Gene Ontology (G...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2007
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2217659/ https://www.ncbi.nlm.nih.gov/pubmed/18047702 http://dx.doi.org/10.1186/1471-2105-8-S9-S1 |
_version_ | 1782149294679130112 |
---|---|
author | Natale, Darren A Arighi, Cecilia N Barker, Winona C Blake, Judith Chang, Ti-Cheng Hu, Zhangzhi Liu, Hongfang Smith, Barry Wu, Cathy H |
author_facet | Natale, Darren A Arighi, Cecilia N Barker, Winona C Blake, Judith Chang, Ti-Cheng Hu, Zhangzhi Liu, Hongfang Smith, Barry Wu, Cathy H |
author_sort | Natale, Darren A |
collection | PubMed |
description | Biomedical ontologies are emerging as critical tools in genomic and proteomic research, where complex data in disparate resources need to be integrated. A number of ontologies describe properties that can be attributed to proteins. For example, protein functions are described by the Gene Ontology (GO) and human diseases by SNOMED CT or ICD10. There is, however, a gap in the current set of ontologies – one that describes the protein entities themselves and their relationships. We have designed the PRotein Ontology (PRO) to facilitate protein annotation and to guide new experiments. The components of PRO extend from the classification of proteins on the basis of evolutionary relationships to the representation of the multiple protein forms of a gene (products generated by genetic variation, alternative splicing, proteolytic cleavage, and other post-translational modifications). PRO will allow the specification of relationships between PRO, GO and other ontologies in the OBO Foundry. Here we describe the initial development of PRO, illustrated using human and mouse proteins involved in the transforming growth factor-beta and bone morphogenetic protein signaling pathways. |
format | Text |
id | pubmed-2217659 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-22176592008-01-31 Framework for a Protein Ontology Natale, Darren A Arighi, Cecilia N Barker, Winona C Blake, Judith Chang, Ti-Cheng Hu, Zhangzhi Liu, Hongfang Smith, Barry Wu, Cathy H BMC Bioinformatics Proceedings Biomedical ontologies are emerging as critical tools in genomic and proteomic research, where complex data in disparate resources need to be integrated. A number of ontologies describe properties that can be attributed to proteins. For example, protein functions are described by the Gene Ontology (GO) and human diseases by SNOMED CT or ICD10. There is, however, a gap in the current set of ontologies – one that describes the protein entities themselves and their relationships. We have designed the PRotein Ontology (PRO) to facilitate protein annotation and to guide new experiments. The components of PRO extend from the classification of proteins on the basis of evolutionary relationships to the representation of the multiple protein forms of a gene (products generated by genetic variation, alternative splicing, proteolytic cleavage, and other post-translational modifications). PRO will allow the specification of relationships between PRO, GO and other ontologies in the OBO Foundry. Here we describe the initial development of PRO, illustrated using human and mouse proteins involved in the transforming growth factor-beta and bone morphogenetic protein signaling pathways. BioMed Central 2007-11-27 /pmc/articles/PMC2217659/ /pubmed/18047702 http://dx.doi.org/10.1186/1471-2105-8-S9-S1 Text en Copyright © 2007 Natale et al; licensee BioMed Central Ltd. |
spellingShingle | Proceedings Natale, Darren A Arighi, Cecilia N Barker, Winona C Blake, Judith Chang, Ti-Cheng Hu, Zhangzhi Liu, Hongfang Smith, Barry Wu, Cathy H Framework for a Protein Ontology |
title | Framework for a Protein Ontology |
title_full | Framework for a Protein Ontology |
title_fullStr | Framework for a Protein Ontology |
title_full_unstemmed | Framework for a Protein Ontology |
title_short | Framework for a Protein Ontology |
title_sort | framework for a protein ontology |
topic | Proceedings |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2217659/ https://www.ncbi.nlm.nih.gov/pubmed/18047702 http://dx.doi.org/10.1186/1471-2105-8-S9-S1 |
work_keys_str_mv | AT nataledarrena frameworkforaproteinontology AT arighicecilian frameworkforaproteinontology AT barkerwinonac frameworkforaproteinontology AT blakejudith frameworkforaproteinontology AT changticheng frameworkforaproteinontology AT huzhangzhi frameworkforaproteinontology AT liuhongfang frameworkforaproteinontology AT smithbarry frameworkforaproteinontology AT wucathyh frameworkforaproteinontology |