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

Christine Brun1, François Chevenet2, David Martin1, Jérôme Wojcik3, Alain Guénoche4 and Bernard Jacq1*

Author Affiliations

1 Laboratoire de Génétique et Physiologie du Développement, CNRS UMR6545, Parc Scientifique et Technologique de Luminy, Case 907, 13288 Marseille Cedex 9, France

2 Centre d'Etude sur le Polymorphisme des Micro-organismes, CNRS/IRD UMR 9926, 911 avenue Agropolis, BP 6450, 34394 Montpellier Cedex 5, France

3 Hybrigenics SA, 3/5 impasse Reille, 75014 Paris, France

4 Institut de Mathématiques de Luminy, CNRS UPR9016, Parc Scientifique et Technologique de Luminy, Case 907, 13288 Marseille Cedex 9, France

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Genome Biology 2003, 5:R6  doi:

Published: 15 December 2003

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.