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

被引：58

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.

引用

共 44 条

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