Bioinformatics Advance Access originally published online on February 5, 2004
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Bioinformatics 20(7) © Oxford University Press 2004; all rights reserved.
Large-scale co-evolution analysis of protein structural interlogues using the global protein structural interactome map (PSIMAP)
1 MRC Rosalind Franklin Centre for Genome Research, Hinxton, Cambridge, CB10 1SB, UK, 2 MRC-DUNN Human Nutrition Unit, Hills Road, Cambridge, CB2 2XY, UK, 3 NGIC, KRIBB, DaeJeon, Korea and 4 Biomatics Lab, BioSystems Dept. KAIST, DaeJeon, Korea
Received on September 2, 2003; revised on November 30, 2003; accepted on December 1, 2003
Advance Access Publication February 5, 2004
Motivation: Interacting pairs of proteins should co-evolve to maintain functional and structural complementarity. Consequently, such a pair of protein families shows similarity between their phylogenetic trees. Although the tendency of co-evolution has been known for various ligandreceptor pairs, it has not been studied systematically in the widest possible scope. We investigated the degree of co-evolution for more than 900 family pairs in a global protein structural interactome map (PSIMAPa map of all the structural domaindomain interactions in the PDB).
Results: There was significant correlation in 45% of the total SCOPs Family level pairs, rising to 78% in 454 reliable family interactions. Expectedly, the intra-molecular interactions between protein families showed stronger co-evolution than inter-molecular interactions. However, both types of interaction have a fundamentally similar pattern of co-evolution except for cases where different interfaces are involved. These results validate the use of co-evolution analysis with predictive methods such as PSIMAP to improve the accuracy of prediction based on homologous interaction. The tendency of co-evolution enabled a nearly 5-fold enrichment in the identification of true interactions among the potential interlogues in PSIMAP. The estimated sensitivity was 79.2%, and the specificity was 78.6%.
Availability: The results of co-evolution analysis are available online at http://www.biointeraction.org
Contact: biopark{at}kaist.ac.kr; j{at}bio.cc
* To whom correspondence should be addressed.
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