Identifying the overlapping complexes in protein interaction networks Online publication date: Thu, 14-Jan-2010
by Min Li, Jianxin Wang, Jianer Chen, Zhao Cai, Gang Chen
International Journal of Data Mining and Bioinformatics (IJDMB), Vol. 4, No. 1, 2010
Abstract: Identification of protein complexes in large interaction networks is crucial to understanding principles of cellular organisation and predict protein functions. In this paper, a new algorithm of Identifying Protein Complexes based on Maximal Clique Extension (IPC-MCE) is proposed. The maximal clique is considered as the core of the protein complex. Proteins in a complex are classed into core vertices and peripheral vertices. The relation between the core vertices and peripheral vertices is measured by the Interaction Probability. The algorithm IPC-MCE is applied to the protein interaction network of Saccharomyces cerevisiae. Many well-known protein complexes are detected.
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