Literature DB >> 14764552

Large-scale co-evolution analysis of protein structural interlogues using the global protein structural interactome map (PSIMAP).

Wan K Kim1, Dan M Bolser, Jong H Park.   

Abstract

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 ligand-receptor 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 (PSIMAP--a map of all the structural domain-domain 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

Mesh:

Substances:

Year:  2004        PMID: 14764552     DOI: 10.1093/bioinformatics/bth053

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  20 in total

1.  Structure, function, and evolution of transient and obligate protein-protein interactions.

Authors:  Julian Mintseris; Zhiping Weng
Journal:  Proc Natl Acad Sci U S A       Date:  2005-07-25       Impact factor: 11.205

2.  Ancient phylogenetic beginnings of immunoglobulin hypermutation.

Authors:  Jaroslav Kubrycht; Karel Sigler; Michal Růzicka; Pavel Soucek; Jirí Borecký; Petr Jezek
Journal:  J Mol Evol       Date:  2006-10-06       Impact factor: 2.395

3.  Specificity in protein interactions and its relationship with sequence diversity and coevolution.

Authors:  Luke Hakes; Simon C Lovell; Stephen G Oliver; David L Robertson
Journal:  Proc Natl Acad Sci U S A       Date:  2007-04-27       Impact factor: 11.205

4.  The human protein coevolution network.

Authors:  Elisabeth R M Tillier; Robert L Charlebois
Journal:  Genome Res       Date:  2009-08-20       Impact factor: 9.043

5.  Coevolution at protein complex interfaces can be detected by the complementarity trace with important impact for predictive docking.

Authors:  Hocine Madaoui; Raphaël Guerois
Journal:  Proc Natl Acad Sci U S A       Date:  2008-05-29       Impact factor: 11.205

Review 6.  Structural and functional constraints in the evolution of protein families.

Authors:  Catherine L Worth; Sungsam Gong; Tom L Blundell
Journal:  Nat Rev Mol Cell Biol       Date:  2009-09-16       Impact factor: 94.444

7.  Correlated evolution of interacting proteins: looking behind the mirrortree.

Authors:  Maricel G Kann; Benjamin A Shoemaker; Anna R Panchenko; Teresa M Przytycka
Journal:  J Mol Biol       Date:  2008-10-09       Impact factor: 5.469

8.  Cross-species protein interactome mapping reveals species-specific wiring of stress response pathways.

Authors:  Jishnu Das; Tommy V Vo; Xiaomu Wei; Joseph C Mellor; Virginia Tong; Andrew G Degatano; Xiujuan Wang; Lihua Wang; Nicolas A Cordero; Nathan Kruer-Zerhusen; Akihisa Matsuyama; Jeffrey A Pleiss; Steven M Lipkin; Minoru Yoshida; Frederick P Roth; Haiyuan Yu
Journal:  Sci Signal       Date:  2013-05-21       Impact factor: 8.192

9.  Covariation of branch lengths in phylogenies of functionally related genes.

Authors:  Wai Lok Sibon Li; Allen G Rodrigo
Journal:  PLoS One       Date:  2009-12-29       Impact factor: 3.240

Review 10.  Prospects of Neutralizing Nanobodies Against SARS-CoV-2.

Authors:  Fangfang Chen; Zhihong Liu; Fan Jiang
Journal:  Front Immunol       Date:  2021-05-28       Impact factor: 7.561

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.