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 majority of which contained proteins involved in the same biological process(es), and to predict a cellular function for many otherwise uncharacterized proteins.
Brun
Christine
C
Laboratoire de Génétique et Physiologie du Développement, CNRS UMR6545, Parc Scientifique et Technologique de Luminy, Case 907, 13288 Marseille Cedex 9, France.
Chevenet
François
F
Martin
David
D
Wojcik
Jérôme
J
Guénoche
Alain
A
Jacq
Bernard
B
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
D020543:Proteome; D029701:Saccharomyces cerevisiae Proteins