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过于紧密而难以改变:蛋白质进化中的侧链堆积与位点特异性替换率

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

作者信息

Marcos María Laura, Echave Julian

机构信息

Escuela de Ciencia y Tecnología, Universidad Nacional de San Martín , San Martín, Buenos Aires , Argentina.

出版信息

PeerJ. 2015 Apr 23;3:e911. doi: 10.7717/peerj.911. eCollection 2015.

DOI:10.7717/peerj.911
PMID:25922797
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4411540/
Abstract

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 C α and the C α 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 C α 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.

摘要

在蛋白质进化过程中,由于功能和生物物理限制,氨基酸替换率因位点而异。位点特异性速率的最佳预测指标包括溶剂可及性和堆积密度。与速率相关性最佳的堆积密度指标是加权接触数(WCN),即一个位点的Cα与其他位点的Cα之间的反平方距离之和。根据最近提出的一种机械应力模型,速率由堆积决定,因为突变堆积位点会给蛋白质的活性构象带来应力并使其不稳定。虽然WCN是Cα堆积的一种度量,但突变替换的是侧链。在这里,我们考虑一个位点的进化差异是受主链堆积还是侧链堆积的限制。为了解决这个问题,我们扩展了应力理论以明确对侧链进行建模。该理论预测速率应该仅取决于侧链接触密度。我们在一组结构和功能多样的单体酶数据集上测试了这一预测。我们将侧链接触密度与主链接触密度指标以及相对溶剂可及性(RSA)进行了比较。我们发现侧链接触密度是位点间速率变化的最佳预测指标(它解释了39.2%的变化)。此外,主链接触密度指标和RSA的独立贡献可以忽略不计。因此,正如应力理论所预测的,位点特异性进化速率由侧链堆积决定。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/046f/4411540/5f3c758ef2d8/peerj-03-911-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/046f/4411540/7f6ca747efcf/peerj-03-911-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/046f/4411540/71a7e17335e2/peerj-03-911-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/046f/4411540/3a7a6c746eba/peerj-03-911-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/046f/4411540/5f3c758ef2d8/peerj-03-911-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/046f/4411540/7f6ca747efcf/peerj-03-911-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/046f/4411540/71a7e17335e2/peerj-03-911-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/046f/4411540/3a7a6c746eba/peerj-03-911-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/046f/4411540/5f3c758ef2d8/peerj-03-911-g004.jpg

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