Work

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

Year: 2003

Type: article

Abstract: 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.

Source: Genome biology

DOI: 10.1186/gb-2003-5-1-r6

Authors: Christine Brun, François Chevenet, David Martin, Jérôme Wojcik, Alain Guénoche, Bernard Jacq

Institutions: Centre National de la Recherche Scientifique, Institut de Recherche pour le Développement, Hybrigenics (France), Institut de Mathématiques de Marseille

Language: English

Topic: Bioinformatics and Genomic Networks

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $5,490

Funder: Fondation pour la Recherche Médicale