Inferring protein-protein interaction networks from protein complex data. (16th October 2007)

• Record Type: Journal Article
• Authors: Martin, Shawn; Mao, Zisu; Chan, Linda S.; Rasheed, Suraiya
• Is Part Of: International journal of bioinformatics research and applications. Volume 3:Number 4(2007)
• Page Start: 480
• Page End: 492
• Publication Date: 2007-10-16
• Subjects: protein complexes -- protein-protein interactions -- feline protein interaction networks -- bioinformatics -- interaction prediction -- cat proteome; Bioinformatics -- Periodicals; 570.285
• Languages: English
• ISSNs: 1744-5485

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.