Inferring homologous protein-protein interactions through pair position specific scoring matrix

BMC Bioinformatics

Proceedings

Chun-Yu Lin¹  Yung-Chiang Chen¹  Jinn-Moon Yang²  Yu-Shu Lo³ 

[1] Institute of Bioinformatics and Systems Biology, National Chiao Tung University, 300, Hsinchu, Taiwan;Institute of Bioinformatics and Systems Biology, National Chiao Tung University, 300, Hsinchu, Taiwan;Department of Biological Science and Technology, National Chiao Tung University, 300, Hsinchu, Taiwan;null;

关键词: Protein Data Bank;    Protein Pair;    Mean Average Precision;    Residue Pair;    Contact Residue;   

DOI  :  10.1186/1471-2105-14-S2-S11

来源: Springer

【 摘 要 】

BackgroundThe protein-protein interaction (PPI) is one of the most important features to understand biological processes. For a PPI, the physical domain-domain interaction (DDI) plays the key role for biology functions. In the post-genomic era, to rapidly identify homologous PPIs for analyzing the contact residue pairs of their interfaces within DDIs on a genomic scale is essential to determine PPI networks and the PPI interface evolution across multiple species.ResultsIn this study, we proposed "pair P osition S pecific S coring M atrix (pair PSSM)" to identify homologous PPIs. The pair PSSM can successfully distinguish the true protein complexes from unreasonable protein pairs with about 90% accuracy. For the test set including 1,122 representative heterodimers and 2,708,746 non-interacting protein pairs, the mean average precision and mean false positive rate of pair PSSM were 0.42 and 0.31, respectively. Moreover, we applied pair PSSM to identify ~450,000 homologous PPIs with their interacting domains and residues in seven common organisms (e.g. Homo sapiens, Mus musculus, Saccharomyces cerevisiae and Escherichia coli).ConclusionsOur pair PSSM is able to provide statistical significance of residue pairs using evolutionary profiles and a scoring system for inferring homologous PPIs. According to our best knowledge, the pair PSSM is the first method for searching homologous PPIs across multiple species using pair position specific scoring matrix and a 3D dimer as the template to map interacting domain pairs of these PPIs. We believe that pair PSSM is able to provide valuable insights for the PPI evolution and networks across multiple species.

【 授权许可】

Unknown   
© Lin et al.; licensee BioMed Central Ltd. 2013. This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.