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Genome Biol. 2007;8(12):R256.

A new computational approach to analyze human protein complexes and predict novel protein interactions.

Author information

  • 1Department of Oncological Sciences and Division of Molecular Angiogenesis, Institute for Cancer Research and Treatment (IRCC), University of Torino Medical School, Strada Provinciale, I-10060 Candiolo (Turin), Italy. zanivan@biochem.mpg.de

Abstract

We propose a new approach to identify interacting proteins based on gene expression data. By using hypergeometric distribution and extensive Monte-Carlo simulations, we demonstrate that looking at synchronous expression peaks in a single time interval is a high sensitivity approach to detect co-regulation among interacting proteins. Combining gene expression and Gene Ontology similarity analyses enabled the extraction of novel interactions from microarray datasets. Applying this approach to p21-activated kinase 1, we validated alpha-tubulin and early endosome antigen 1 as its novel interactors.

PMID:
18053208
[PubMed - indexed for MEDLINE]
PMCID:
PMC2246258
Free PMC Article

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