Literature DB >> 8120887

Volume changes in protein evolution.

M Gerstein1, E L Sonnhammer, C Chothia.   

Abstract

We have determined the variations in volume that occur during evolution in the buried core of three different families of proteins. The variation of the whole core is very small (approximately 2.5%) compared to the variation at individual sites (approximately 13%). However, by comparing our results to those expected from random sequences with no correlations between sites, we show that the small variation observed may simply be a manifestation of the statistical "law of large numbers" and not reflect any compensating changes in, or global constraints upon, protein sequences. We have also analysed in detail the volume variations at individual sites, both in the core and on the surface, and compared these variations with those expected from random sequences. Individual sites on the surface have nearly the same variation as random sequences (24% versus 28% variation). However, individual sites in the core have about half the variation of random sequences (13% versus 30%). Roughly, half of these core sites strongly conserve their volume (0 to 10% variation); one quarter have moderate variation (10 to 20%); and the remaining quarter vary randomly (20 to 40%). Our results have clear implications for the relationship between protein sequence and structure. For our analysis, we have developed a new and simple method for weighting protein sequences to correct for unequal representation, which we describe in an Appendix.

Mesh:

Substances:

Year:  1994        PMID: 8120887     DOI: 10.1016/0022-2836(94)90012-4

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  60 in total

1.  The conserved characteristics of DNA-binding domains belonging to the homeodomain class that are associated with coadaptive substitutions of amino acid residues.

Authors:  D A Afonnikov; N A Koichanov
Journal:  Dokl Biochem Biophys       Date:  2001 Sep-Oct       Impact factor: 0.788

Review 2.  Improving the accuracy of PSI-BLAST protein database searches with composition-based statistics and other refinements.

Authors:  A A Schäffer; L Aravind; T L Madden; S Shavirin; J L Spouge; Y I Wolf; E V Koonin; S F Altschul
Journal:  Nucleic Acids Res       Date:  2001-07-15       Impact factor: 16.971

3.  The weighted-volume derivative of a space-filling diagram.

Authors:  Herbert Edelsbrunner; Patrice Koehl
Journal:  Proc Natl Acad Sci U S A       Date:  2003-02-24       Impact factor: 11.205

4.  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

Review 5.  Proteins: form and function.

Authors:  Roy D Sleator
Journal:  Bioeng Bugs       Date:  2012-03-01

6.  An assessment of substitution scores for protein profile-profile comparison.

Authors:  Xugang Ye; Guoli Wang; Stephen F Altschul
Journal:  Bioinformatics       Date:  2011-10-13       Impact factor: 6.937

7.  Thermodynamics of protein destabilization in live cells.

Authors:  Jens Danielsson; Xin Mu; Lisa Lang; Huabing Wang; Andres Binolfi; François-Xavier Theillet; Beata Bekei; Derek T Logan; Philipp Selenko; Håkan Wennerström; Mikael Oliveberg
Journal:  Proc Natl Acad Sci U S A       Date:  2015-09-21       Impact factor: 11.205

8.  Quantitative assessment of protein function prediction from metagenomics shotgun sequences.

Authors:  E D Harrington; A H Singh; T Doerks; I Letunic; C von Mering; L J Jensen; J Raes; P Bork
Journal:  Proc Natl Acad Sci U S A       Date:  2007-08-23       Impact factor: 11.205

9.  6S RNA is a widespread regulator of eubacterial RNA polymerase that resembles an open promoter.

Authors:  Jeffrey E Barrick; Narasimhan Sudarsan; Zasha Weinberg; Walter L Ruzzo; Ronald R Breaker
Journal:  RNA       Date:  2005-04-05       Impact factor: 4.942

10.  A phylogenetic approach for weighting genetic sequences.

Authors:  Nicola De Maio; Alexander V Alekseyenko; William J Coleman-Smith; Fabio Pardi; Marc A Suchard; Asif U Tamuri; Jakub Truszkowski; Nick Goldman
Journal:  BMC Bioinformatics       Date:  2021-05-28       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.