Literature DB >> 11724732

Detection of conserved physico-chemical characteristics of proteins by analyzing clusters of positions with co-ordinated substitutions.

D A Afonnikov1, D Y Oshchepkov, N A Kolchanov.   

Abstract

MOTIVATION: It is known that the physico-chemical characteristics of proteins underlying specific folding of the polypeptide chain and the protein function are evolutionary conserved. Detection of such characteristics while analyzing homologous sequences would expand essentially the knowledge on protein function, structure, and evolution. These characteristics are maintained constant, in particular, by co-ordinated substitutions. In this process, the destabilizing effect of a substitution may be compensated by another substitution at a different position within the same protein, making the overall change in this protein characteristic insignificant. Consequently, the patterns of co-ordinated substitutions contain important information on conserved physico-chemical properties of proteins, requiring their investigation and development of the corresponding methods and software for correlation analysis of protein sequences available to a wide range of users.
RESULTS: A software package for analyzing correlated amino acid substitutions at different positions within aligned protein sequences was developed. The approach implies searching for evolutionary conserved physico-chemical characteristics of proteins based on the information on the pairwise correlations of amino acid substitutions at different protein positions. The software was applied to analyze DNA-binding domains of the homeodomain class. As a result, two conservative physico-chemical characteristics preserved due to the co-ordinated substitutions at certain groups of positions in the protein sequence. Possible functional roles of these characteristics are discussed. AVAILABILITY: The program package is available at http://wwwmgs.bionet.nsc.ru/programs/CRASP/.

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Year:  2001        PMID: 11724732     DOI: 10.1093/bioinformatics/17.11.1035

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


  9 in total

1.  ASPD (Artificially Selected Proteins/Peptides Database): a database of proteins and peptides evolved in vitro.

Authors:  Vadim P Valuev; Dmitry A Afonnikov; Mikhail P Ponomarenko; Luciano Milanesi; Nikolay A Kolchanov
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

2.  CRASP: a program for analysis of coordinated substitutions in multiple alignments of protein sequences.

Authors:  Dmitry A Afonnikov; Nikolay A Kolchanov
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

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5.  Dobzhansky-Muller incompatibilities in protein evolution.

Authors:  Alexey S Kondrashov; Shamil Sunyaev; Fyodor A Kondrashov
Journal:  Proc Natl Acad Sci U S A       Date:  2002-10-28       Impact factor: 11.205

6.  A likelihood-based index of protein protein binding affinities with application to influenza HA escape from antibodies.

Authors:  Teruaki Watabe; Hirohisa Kishino; Leonardo de Oliveira Martins; Yasuhiro Kitazoe
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7.  Determinants of protein function revealed by combinatorial entropy optimization.

Authors:  Boris Reva; Yevgeniy Antipin; Chris Sander
Journal:  Genome Biol       Date:  2007       Impact factor: 13.583

8.  Reducing the false positive rate in the non-parametric analysis of molecular coevolution.

Authors:  Francisco M Codoñer; Shirley O'Dea; Mario A Fares
Journal:  BMC Evol Biol       Date:  2008-04-10       Impact factor: 3.260

9.  A dynamic interaction process between KaiA and KaiC is critical to the cyanobacterial circadian oscillator.

Authors:  Pei Dong; Ying Fan; Jianqiang Sun; Mengting Lv; Ming Yi; Xiao Tan; Sen Liu
Journal:  Sci Rep       Date:  2016-04-26       Impact factor: 4.379

  9 in total

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