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1: Genome Biol. 2007;8(12):R256.Click here to read Click here to read Links

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

Zanivan S, Cascone I, Peyron C, Molineris I, Marchio S, Caselle M, Bussolino F.

Department 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

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