Finding molecular complexes through multiple layer clustering of protein interaction networks
by Bill Andreopoulos, Aijun An, Xiangji Huang, Xiaogang Wang
International Journal of Bioinformatics Research and Applications (IJBRA), Vol. 3, No. 1, 2007

Abstract: Clustering protein-protein interaction networks (PINs) helps to identify complexes that guide the cell machinery. Clustering algorithms often create a flat clustering, without considering the layered structure of PINs. We propose the MULIC clustering algorithm that produces layered clusters. We applied MULIC to five PINs. Clusters correlate with known MIPS protein complexes. For example, a cluster of 79 proteins overlaps with a known complex of 88 proteins. Proteins in top cluster layers tend to be more representative of complexes than proteins in bottom layers. Lab work on finding unknown complexes or determining drug effects can be guided by top layer proteins.

Online publication date: Tue, 26-Dec-2006

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