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. and Bussolino, F. (2007) A new computational approach to analyze human protein complexes and predict novel protein interactions. Genome Biology, 8, R256. (doi:10.1186/gb-2007-8-12-r256) (PMID:18053208) (PMCID:PMC2246258)

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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 α-tubulin and early endosome antigen 1 as its novel interactors.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Zanivan, Dr Sara Rossana
Authors: Zanivan, S., Cascone, I., Peyron, C., Molineris, I., Marchio, S., Caselle, M., and Bussolino, F.
College/School:College of Medical Veterinary and Life Sciences > Institute of Cancer Sciences
Journal Name:Genome Biology
Publisher:BioMed Central
ISSN:1474-760X
ISSN (Online):1465-6906
Copyright Holders:Copyright © 2007 Zanivan et al.
First Published:First published in Genome Biology 8: R256
Publisher Policy:Reproduced under a Creative Commons License

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