Computational Methods for Protein-Protein Interaction and their Application

Tie-Liu      Shi; Yi-Xue      Li; Yu-Dong      Cai; Kuo-Chen      Chou

doi:10.2174/138920305774329313

Abstract

Protein-protein interactions play a central role in numerous processes in cell and are one of the main research fields in current functional proteomics. The increase of finished genomic sequences has greatly stimulated the progress for detecting the functions of the genes and their encoded proteins. As complementary ways to the high through-put experimental methods, various methods of bioinformatics have been developed for the study of the protein-protein interaction. These methods range from the sequence homology-based to the genomic-context based. Recently, it tends to integrate the data from different methods to build the protein-protein interaction network, and to predict the protein function from the analysis of the network structure. Efforts are ongoing to improve these methods and to search for novel aspects in genomes that could be exploited for function prediction. This review highlights the recent advances of the bioinformatics methods in protein-protein interaction researches. In the end, the application of the protein-protein interaction has also been discussed.

Keywords: genome sequencing, protein function, domain-pairs-based approach, gene fusion, multiple sequence alignments

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