title: Functional classification of proteins for the prediction of cellular function from a protein-protein interaction network.
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.
authors.affiliation: Laboratoire de Génétique et Physiologie du Développement, CNRS UMR6545, Parc Scientifique et Technologique de Luminy, Case 907, 13288 Marseille Cedex 9, France.
authors.forename: Christine
authors.initials: C
authors.lastname: Brun
authors.forename: François
authors.initials: F
authors.lastname: Chevenet
authors.forename: David
authors.initials: D
authors.lastname: Martin
authors.forename: Jérôme
authors.initials: J
authors.lastname: Wojcik
authors.forename: Alain
authors.initials: A
authors.lastname: Guénoche
authors.forename: Bernard
authors.initials: B
authors.lastname: Jacq
mesh_terms: D016000:Cluster Analysis; D019295:Computational Biology / Q000379:methods / Q000706:statistics & numerical data; D011237:Predictive Value of Tests; D025941:Protein Interaction Mapping / Q000379:methods* / Q000706:statistics & numerical data; D020543:Proteome / Q000502:physiology; D012441:Saccharomyces cerevisiae / Q000166:cytology* / Q000235:genetics; D029701:Saccharomyces cerevisiae Proteins / Q000502:physiology*; D012984:Software; D012985:Software Design
chemical_list: D020543:Proteome; D029701:Saccharomyces cerevisiae Proteins