Functional classification of proteins for the prediction of cellular function from a protein-protein interaction network

We here describe PRODISTIN, a new computational method allowing the functional clustering of proteins on the basis of protein-protein interaction data. This method, assessed biologically and statistically, enabled us to classify 11% of the Saccharomyces cerevisiae proteome into several groups, the m...

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Detalles Bibliográficos
Autores principales: Brun, Christine, Chevenet, François, Martin, David, Wojcik, Jérôme, Guénoche, Alain, Jacq, Bernard
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2004
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC395738/
https://www.ncbi.nlm.nih.gov/pubmed/14709178
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author Brun, Christine
Chevenet, François
Martin, David
Wojcik, Jérôme
Guénoche, Alain
Jacq, Bernard
author_facet Brun, Christine
Chevenet, François
Martin, David
Wojcik, Jérôme
Guénoche, Alain
Jacq, Bernard
author_sort Brun, Christine
collection PubMed
description We here describe PRODISTIN, a new computational method allowing the functional clustering of proteins on the basis of protein-protein interaction data. This method, assessed biologically and statistically, enabled us to classify 11% of the Saccharomyces cerevisiae proteome into several groups, the majority of which contained proteins involved in the same biological process(es), and to predict a cellular function for many otherwise uncharacterized proteins.
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spelling pubmed-3957382004-04-24 Functional classification of proteins for the prediction of cellular function from a protein-protein interaction network Brun, Christine Chevenet, François Martin, David Wojcik, Jérôme Guénoche, Alain Jacq, Bernard Genome Biol Method We here describe PRODISTIN, a new computational method allowing the functional clustering of proteins on the basis of protein-protein interaction data. This method, assessed biologically and statistically, enabled us to classify 11% of the Saccharomyces cerevisiae proteome into several groups, the majority of which contained proteins involved in the same biological process(es), and to predict a cellular function for many otherwise uncharacterized proteins. BioMed Central 2004 2003-12-15 /pmc/articles/PMC395738/ /pubmed/14709178 Text en Copyright © 2003 Brun et al.; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.
spellingShingle Method
Brun, Christine
Chevenet, François
Martin, David
Wojcik, Jérôme
Guénoche, Alain
Jacq, Bernard
Functional classification of proteins for the prediction of cellular function from a protein-protein interaction network
title Functional classification of proteins for the prediction of cellular function from a protein-protein interaction network
title_full Functional classification of proteins for the prediction of cellular function from a protein-protein interaction network
title_fullStr Functional classification of proteins for the prediction of cellular function from a protein-protein interaction network
title_full_unstemmed Functional classification of proteins for the prediction of cellular function from a protein-protein interaction network
title_short Functional classification of proteins for the prediction of cellular function from a protein-protein interaction network
title_sort functional classification of proteins for the prediction of cellular function from a protein-protein interaction network
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC395738/
https://www.ncbi.nlm.nih.gov/pubmed/14709178
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