Inferring protein-protein interaction networks from protein complex data
by Shawn Martin, Zisu Mao, Linda S. Chan, Suraiya Rasheed
International Journal of Bioinformatics Research and Applications (IJBRA), Vol. 3, No. 4, 2007

Abstract: Present day approaches for the determination of protein-protein interaction networks are usually based on two hybrid experimental measurements. Here we consider a computational method that uses another type of experimental data: instead of direct information about protein-protein interactions, we consider data in the form of protein complexes. We propose a method for using these complexes to provide predictions of protein-protein interactions. When applied to a dataset obtained from a cat melanoma cell line we find that we are able to predict when a protein pair belongs to a complex with ∼96% accuracy. Further, we are able to extrapolate the experimentally identified interaction pairs to the entire cat proteome.

Online publication date: Mon, 15-Oct-2007

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