Too packed to change: side-chain packing and site-specific substitution rates in protein evolution

In protein evolution, due to functional and biophysical constraints, the rates of amino acid substitution differ from site to site. Among the best predictors of site-specific rates are solvent accessibility and packing density. The packing density measure that best correlates with rates is the weigh...

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Main Authors: María Laura Marcos, Julian Echave
Format: Article
Language:English
Published: PeerJ Inc. 2015-04-01
Series:PeerJ
Subjects:
Online Access:https://peerj.com/articles/911.pdf
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spelling doaj-9bd21c7bc799419095486a1975e3089f2020-11-25T00:44:47ZengPeerJ Inc.PeerJ2167-83592015-04-013e91110.7717/peerj.911911Too packed to change: side-chain packing and site-specific substitution rates in protein evolutionMaría Laura Marcos0Julian Echave1Escuela de Ciencia y Tecnología, Universidad Nacional de San Martín, San Martín, Buenos Aires, ArgentinaEscuela de Ciencia y Tecnología, Universidad Nacional de San Martín, San Martín, Buenos Aires, ArgentinaIn protein evolution, due to functional and biophysical constraints, the rates of amino acid substitution differ from site to site. Among the best predictors of site-specific rates are solvent accessibility and packing density. The packing density measure that best correlates with rates is the weighted contact number (WCN), the sum of inverse square distances between a site’s Cα and the Cα of the other sites. According to a mechanistic stress model proposed recently, rates are determined by packing because mutating packed sites stresses and destabilizes the protein’s active conformation. While WCN is a measure of Cα packing, mutations replace side chains. Here, we consider whether a site’s evolutionary divergence is constrained by main-chain packing or side-chain packing. To address this issue, we extended the stress theory to model side chains explicitly. The theory predicts that rates should depend solely on side-chain contact density. We tested this prediction on a data set of structurally and functionally diverse monomeric enzymes. We compared side-chain contact density with main-chain contact density measures and with relative solvent accessibility (RSA). We found that side-chain contact density is the best predictor of rate variation among sites (it explains 39.2% of the variation). Moreover, the independent contribution of main-chain contact density measures and RSA are negligible. Thus, as predicted by the stress theory, site-specific evolutionary rates are determined by side-chain packing.https://peerj.com/articles/911.pdfProtein evolutionStructural constraintsPackingContact densityRate variation among sitesSide chain
collection DOAJ
language English
format Article
sources DOAJ
author María Laura Marcos
Julian Echave
spellingShingle María Laura Marcos
Julian Echave
Too packed to change: side-chain packing and site-specific substitution rates in protein evolution
PeerJ
Protein evolution
Structural constraints
Packing
Contact density
Rate variation among sites
Side chain
author_facet María Laura Marcos
Julian Echave
author_sort María Laura Marcos
title Too packed to change: side-chain packing and site-specific substitution rates in protein evolution
title_short Too packed to change: side-chain packing and site-specific substitution rates in protein evolution
title_full Too packed to change: side-chain packing and site-specific substitution rates in protein evolution
title_fullStr Too packed to change: side-chain packing and site-specific substitution rates in protein evolution
title_full_unstemmed Too packed to change: side-chain packing and site-specific substitution rates in protein evolution
title_sort too packed to change: side-chain packing and site-specific substitution rates in protein evolution
publisher PeerJ Inc.
series PeerJ
issn 2167-8359
publishDate 2015-04-01
description In protein evolution, due to functional and biophysical constraints, the rates of amino acid substitution differ from site to site. Among the best predictors of site-specific rates are solvent accessibility and packing density. The packing density measure that best correlates with rates is the weighted contact number (WCN), the sum of inverse square distances between a site’s Cα and the Cα of the other sites. According to a mechanistic stress model proposed recently, rates are determined by packing because mutating packed sites stresses and destabilizes the protein’s active conformation. While WCN is a measure of Cα packing, mutations replace side chains. Here, we consider whether a site’s evolutionary divergence is constrained by main-chain packing or side-chain packing. To address this issue, we extended the stress theory to model side chains explicitly. The theory predicts that rates should depend solely on side-chain contact density. We tested this prediction on a data set of structurally and functionally diverse monomeric enzymes. We compared side-chain contact density with main-chain contact density measures and with relative solvent accessibility (RSA). We found that side-chain contact density is the best predictor of rate variation among sites (it explains 39.2% of the variation). Moreover, the independent contribution of main-chain contact density measures and RSA are negligible. Thus, as predicted by the stress theory, site-specific evolutionary rates are determined by side-chain packing.
topic Protein evolution
Structural constraints
Packing
Contact density
Rate variation among sites
Side chain
url https://peerj.com/articles/911.pdf
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