Literature DB >> 16407461

The evolutionary rate of a protein is influenced by features of the interacting partners.

Takashi Makino1, Takashi Gojobori.   

Abstract

Rates of protein evolution are thought to be influenced by features of protein-protein interaction (PPI). However, the most important features of interaction for determining the evolutionary rate are poorly understood. Here, we consider four categories for PPIs in Saccharomyces cerevisiae. Properties we consider are the extent to which proteins interact with proteins of the same function or different function (DF) and the extent to which these interactions involve connections in the dense part or sparse part (SP) of a PPI network. Our findings are that proteins with DF-SP interactions evolve at the slowest rate of all the proteins examined.

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Year:  2006        PMID: 16407461     DOI: 10.1093/molbev/msj090

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  13 in total

1.  Molecular evolution, mutation size and gene pleiotropy: a geometric reexamination.

Authors:  Pablo Razeto-Barry; Javier Díaz; Darko Cotoras; Rodrigo A Vásquez
Journal:  Genetics       Date:  2010-12-31       Impact factor: 4.562

2.  Systemic factors dominate mammal protein evolution.

Authors:  Alexander E Vinogradov
Journal:  Proc Biol Sci       Date:  2010-01-06       Impact factor: 5.349

3.  From genotype to phenotype: systems biology meets natural variation.

Authors:  Philip N Benfey; Thomas Mitchell-Olds
Journal:  Science       Date:  2008-04-25       Impact factor: 47.728

4.  The relationships among microRNA regulation, intrinsically disordered regions, and other indicators of protein evolutionary rate.

Authors:  Sean Chun-Chang Chen; Trees-Juen Chuang; Wen-Hsiung Li
Journal:  Mol Biol Evol       Date:  2011-03-11       Impact factor: 16.240

5.  Impact of extracellularity on the evolutionary rate of mammalian proteins.

Authors:  Ben-Yang Liao; Meng-Pin Weng; Jianzhi Zhang
Journal:  Genome Biol Evol       Date:  2010-01-06       Impact factor: 3.416

6.  Protein complex forming ability is favored over the features of interacting partners in determining the evolutionary rates of proteins in the yeast protein-protein interaction networks.

Authors:  Sandip Chakraborty; Bratati Kahali; Tapash C Ghosh
Journal:  BMC Syst Biol       Date:  2010-11-12

7.  Evolutionary plasticity determination by orthologous groups distribution.

Authors:  Rodrigo J S Dalmolin; Mauro A A Castro; José L Rybarczyk Filho; Luis H T Souza; Rita M C de Almeida; José C F Moreira
Journal:  Biol Direct       Date:  2011-05-17       Impact factor: 4.540

8.  Evolutionary and physiological importance of hub proteins.

Authors:  Nizar N Batada; Laurence D Hurst; Mike Tyers
Journal:  PLoS Comput Biol       Date:  2006-06-05       Impact factor: 4.475

9.  Lineage-specific sequence evolution and exon edge conservation partially explain the relationship between evolutionary rate and expression level in A. thaliana.

Authors:  Stephen J Bush; Paula X Kover; Araxi O Urrutia
Journal:  Mol Ecol       Date:  2015-06-05       Impact factor: 6.185

10.  Snake venoms are integrated systems, but abundant venom proteins evolve more rapidly.

Authors:  Steven D Aird; Shikha Aggarwal; Alejandro Villar-Briones; Mandy Man-Ying Tin; Kouki Terada; Alexander S Mikheyev
Journal:  BMC Genomics       Date:  2015-08-28       Impact factor: 3.969

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