Literature DB >> 24109601

Site-specific structural constraints on protein sequence evolutionary divergence: local packing density versus solvent exposure.

So-Wei Yeh1, Jen-Wei Liu, Sung-Huan Yu, Chien-Hua Shih, Jenn-Kang Hwang, Julian Echave.   

Abstract

Protein sequences evolve under selection pressures imposed by functional and biophysical requirements, resulting in site-dependent rates of amino acid substitution. Relative solvent accessibility (RSA) and local packing density (LPD) have emerged as the best candidates to quantify structural constraint. Recent research assumes that RSA is the main determinant of sequence divergence. However, it is not yet clear which is the best predictor of substitution rates. To address this issue, we compared RSA and LPD with site-specific rates of evolution for a diverse data set of enzymes. In contrast with recent studies, we found that LPD measures correlate better than RSA with evolutionary rate. Moreover, the independent contribution of RSA is minor. Taking into account that LPD is related to backbone flexibility, we put forward the possibility that the rate of evolution of a site is determined by the ease with which the backbone deforms to accommodate mutations.

Entities:  

Keywords:  contact number; local packing density; protein evolution; protein structure; relative solvent accessibility; site-specific evolutionary rate; weighted contact number

Mesh:

Substances:

Year:  2013        PMID: 24109601     DOI: 10.1093/molbev/mst178

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


  34 in total

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5.  (PS)2: protein structure prediction server version 3.0.

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Review 6.  Determinants of the rate of protein sequence evolution.

Authors:  Jianzhi Zhang; Jian-Rong Yang
Journal:  Nat Rev Genet       Date:  2015-06-09       Impact factor: 53.242

7.  Calculating site-specific evolutionary rates at the amino-acid or codon level yields similar rate estimates.

Authors:  Dariya K Sydykova; Claus O Wilke
Journal:  PeerJ       Date:  2017-05-30       Impact factor: 2.984

8.  Intermediate divergence levels maximize the strength of structure-sequence correlations in enzymes and viral proteins.

Authors:  Eleisha L Jackson; Amir Shahmoradi; Stephanie J Spielman; Benjamin R Jack; Claus O Wilke
Journal:  Protein Sci       Date:  2016-03-24       Impact factor: 6.725

9.  Measuring evolutionary rates of proteins in a structural context.

Authors:  Dariya K Sydykova; Benjamin R Jack; Stephanie J Spielman; Claus O Wilke
Journal:  F1000Res       Date:  2017-10-16

10.  Predicting evolutionary site variability from structure in viral proteins: buriedness, packing, flexibility, and design.

Authors:  Amir Shahmoradi; Dariya K Sydykova; Stephanie J Spielman; Eleisha L Jackson; Eric T Dawson; Austin G Meyer; Claus O Wilke
Journal:  J Mol Evol       Date:  2014-09-13       Impact factor: 2.395

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