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PMID: 18936051 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

The Protein Feature Ontology: a tool for the unification of protein feature annotations.

Bioinformatics (Oxford, England) ·Vol. 24 ·No. 23 ·2008-12-01 ·Pages 2767-72

Reeves GA, Eilbeck K, Magrane M, O'Donovan C, Montecchi-Palazzi L, Harris MA, Orchard S, Jimenez RC, Prlic A, Hubbard TJ, Hermjakob H, Thornton JM

Abstract

The advent of sequencing and structural genomics projects has provided a dramatic boost in the number of uncharacterized protein structures and sequences. Consequently, many computational tools have been developed to help elucidate protein function. However, such services are spread throughout the world, often with standalone web pages. Integration of these methods is needed and so far this has not been possible as there was no common vocabulary available that could be used as a standard language. The Protein Feature Ontology has been developed to provide a structured controlled vocabulary for features on a protein sequence or structure and comprises approximately 100 positional terms, now integrated into the Sequence Ontology (SO) and 40 non-positional terms which describe features relating to the whole-protein sequence. In addition, post-translational modifications are described by using a pre-existing ontology, the Protein Modification Ontology (MOD). This ontology is being used to integrate over 150 distinct annotations provided by the BioSapiens Network of Excellence, a consortium comprising 19 partner sites in Europe. The Protein Feature Ontology can be browsed by accessing the ontology lookup service at the European Bioinformatics Institute (http://www.ebi.ac.uk/ontology-lookup/browse.do?ontName=BS).

MeSH Terms
Computational Biology/methods Databases, Protein Internet Proteins/chemistry,metabolism Proteome/genetics Software Vocabulary, Controlled
Chemicals
Proteins Proteome
Authors & Affiliations
12 authors, click to expand affiliations / ORCID
Reeves Gabrielle A
EMBL-European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK. [email protected]
Eilbeck Karen
Magrane Michele
O'Donovan Claire
Montecchi-Palazzi Luisa
Harris Midori A
Orchard Sandra
Jimenez Rafael C
Prlic Andreas
Hubbard Tim J P
Hermjakob Henning
Thornton Janet M
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Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4811
Published
2008-12-01
Epub
2008-00-20
Pages
2767-72
Language
English
Region
England
NLM ID
9808944
PMCID
PMC2912506
Subset
IM
Grants
Wellcome Trust · 062023 · United Kingdom
Wellcome Trust · 077198 · United Kingdom
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