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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/4099

Title: Prediction of Protein-Protein Interactions Using Bayesian Networks
Authors: Nguyen, Thanh Phuong
Tu, Bao Ho
Nguyen, Ngoc Binh
Keywords: protein-protein interactions
Bayes-ian networks
biological processes
functional catalogs
domain fusion
Issue Date: Nov-2007
Publisher: JAIST Press
Abstract: Interactions among proteins are essential to almost all cellular functions. Several experimental and computational methods have been proposed to discover protein-protein interactions (PPI). However the reliability of these interactions is still challenging. Our motivation is to more reliably predict protein-protein interactions by mining and combining multiple biologically significant data. By integrating function catalog and biological process data, especially domain fusion data in Bayesian networks, a considerable number of putative PPI was predicted. In addition to the large number of predicted PPI, the main contribution of our work is predicting more reliable PPI by combining both protein information and domain information. Experimental results demonstrated the reliability of predicted PPI in three main points: (i) the large number of overlapped interactions between predicted PPI set and two well-known PPI databases, (ii) the large number of domain-domain interactions covered by predicted PPI, and (iii) the physical properties of predicted PPI.
Description: The original publication is available at JAIST Press http://www.jaist.ac.jp/library/jaist-press/index.html
KICSS 2007 : The Second International Conference on Knowledge, Information and Creativity Support Systems : PROCEEDINGS OF THE CONFERENCE, November 5-7, 2007, [Ishikawa High-Tech Conference Center, Nomi, Ishikawa, JAPAN]
Language: ENG
URI: http://hdl.handle.net/10119/4099
ISBN: 9784903092089
Appears in Collections:KICSS 2007

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