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单点突变和缺失对气相中理想蛋白质原杂聚物链转变温度的作用。

Role of single-point mutations and deletions on transition temperatures in ideal proteinogenic heteropolymer chains in the gas phase.

作者信息

Olivares-Quiroz L

机构信息

Colegio de Ciencia y Tecnologia and Posgrado en Ciencias de la Complejidad, Universidad Autonoma de la Ciudad de Mexico, Prol Av San Isidro 151, Deleg Iztapalapa, CP 09760, Mexico, DF, Mexico.

出版信息

Eur Biophys J. 2016 Jul;45(5):393-403. doi: 10.1007/s00249-015-1108-8. Epub 2016 Jan 27.

Abstract

A coarse-grained statistical mechanics-based model for ideal heteropolymer proteinogenic chains of non-interacting residues is presented in terms of the size K of the chain and the set of helical propensities [Formula: see text] associated with each residue j along the chain. For this model, we provide an algorithm to compute the degeneracy tensor [Formula: see text] associated with energy level [Formula: see text] where [Formula: see text] is the number of residues with a native contact in a given conformation. From these results, we calculate the equilibrium partition function [Formula: see text] and characteristic temperature [Formula: see text] at which a transition from a low to a high entropy states is observed. The formalism is applied to analyze the effect on characteristic temperatures [Formula: see text] of single-point mutations and deletions of specific amino acids [Formula: see text] along the chain. Two probe systems are considered. First, we address the case of a random heteropolymer of size K and given helical propensities [Formula: see text] on a conformational phase space. Second, we focus our attention to a particular set of neuropentapeptides, [Met-5] and [Leu-5] enkephalins whose thermodynamic stability is a key feature on their coupling to [Formula: see text] and [Formula: see text] receptors and the triggering of biochemical responses.

摘要

本文基于粗粒度统计力学,提出了一种针对非相互作用残基的理想杂聚物蛋白质生成链的模型,该模型与链的大小(K)以及沿链的每个残基(j)相关的螺旋倾向集([公式:见正文])有关。对于该模型,我们提供了一种算法来计算与能级([公式:见正文])相关的简并张量([公式:见正文]) ---- 其中([公式:见正文])是给定构象中具有天然接触的残基数量。根据这些结果,我们计算平衡配分函数([公式:见正文])和特征温度([公式:见正文]),在该特征温度下观察到从低熵态到高熵态的转变。该形式主义被应用于分析沿链的特定氨基酸([公式:见正文])的单点突变和缺失对特征温度([公式:见正文])的影响。考虑了两个探针系统。首先,我们研究了在构象相空间中大小为(K)且具有给定螺旋倾向([公式:见正文])的随机杂聚物的情况。其次,我们将注意力集中在一组特定的神经五肽,即([甲硫氨酸 - 5])和([亮氨酸 - 5])脑啡肽上,它们的热力学稳定性是其与([公式:见正文])和([公式:见正文])受体偶联以及触发生化反应的关键特征。

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