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

被引：61
作者：
Christine Brun
François Chevenet
David Martin
Jérôme Wojcik
Alain Guénoche
Bernard Jacq
机构：
[1] Laboratoire de Génétique et Physiologie du Développement, CNRS UMR6545, Parc Scientifique et Technologique de Luminy, Case 907, Marseille Cedex 9
[2] Centre d'Etude sur le Polymorphisme des Micro-organismes, CNRS/IRD UMR 9926, 911 avenue AgropolisBP 6450, Montpellier Cedex 5
[3] Hybrigenics SA, 3/5 impasse Reille, Paris
[4] Institut de Mathématiques de Luminy, CNRS UPR9016, Parc Scientifique et Technologique de Luminy, Case 907, Marseille Cedex 9
来源：
Genome Biology | / 5卷 / 1期
关键词：
Additional Data File; Biochemical Function; Functional Prediction; Functional Tree; Gene Ontology;
D O I：
10.1186/gb-2003-5-1-r6
中图分类号：
学科分类号：
摘要：
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. © 2003, Brun et al.
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