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折叠的序列熵和氨基酸替换的绝对速率。

Sequence entropy of folding and the absolute rate of amino acid substitutions.

机构信息

Division of Infection and Immunity, University College London, London, WC1E 6BT, UK.

Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, CO, 80045, USA.

出版信息

Nat Ecol Evol. 2017 Dec;1(12):1923-1930. doi: 10.1038/s41559-017-0338-9. Epub 2017 Oct 23.

Abstract

Adequate representations of protein evolution should consider how the acceptance of mutations depends on the sequence context in which they arise. However, epistatic interactions among sites in a protein result in hererogeneities in the substitution rate, both temporal and spatial, that are beyond the capabilities of current models. Here we use parallels between amino acid substitutions and chemical reaction kinetics to develop an improved theory of protein evolution. We constructed a mechanistic framework for modelling amino acid substitution rates that uses the formalisms of statistical mechanics, with principles of population genetics underlying the analysis. Theoretical analyses and computer simulations of proteins under purifying selection for thermodynamic stability show that substitution rates and the stabilization of resident amino acids (the 'evolutionary Stokes shift') can be predicted from biophysics and the effect of sequence entropy alone. Furthermore, we demonstrate that substitutions predominantly occur when epistatic interactions result in near neutrality; substitution rates are determined by how often epistasis results in such nearly neutral conditions. This theory provides a general framework for modelling protein sequence change under purifying selection, potentially explains patterns of convergence and mutation rates in real proteins that are incompatible with previous models, and provides a better null model for the detection of adaptive changes.

摘要

充分体现蛋白质进化的特征应考虑到突变的接受程度取决于其出现的序列背景。然而,蛋白质中各位点的上位性相互作用导致了替代率的时空异质性,这超出了当前模型的能力范围。在这里,我们使用氨基酸替换与化学反应动力学之间的相似性来开发改进的蛋白质进化理论。我们构建了一个用于模拟氨基酸替代率的机械框架,该框架使用统计力学的形式主义,分析的基础是群体遗传学的原则。对热力学稳定性进行净化选择的蛋白质的理论分析和计算机模拟表明,替代率和驻留氨基酸的稳定性(“进化斯托克斯位移”)可以仅通过生物物理学和序列熵的影响来预测。此外,我们证明,当上位性相互作用导致近中性时,替代主要发生;替代率取决于上位性导致这种几乎中性条件的频率。该理论为在净化选择下模拟蛋白质序列变化提供了一个通用框架,可能解释了与先前模型不兼容的真实蛋白质中趋同和突变率的模式,并为检测适应性变化提供了更好的零模型。

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