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本文引用的文献

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A thorough anion-π interaction study in biomolecules: on the importance of cooperativity effects.生物分子中全面的阴离子-π相互作用研究:关于协同效应的重要性
Chem Sci. 2016 Feb 1;7(2):1038-1050. doi: 10.1039/c5sc01386k. Epub 2015 Jun 5.
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Predicting protein thermal stability changes upon point mutations using statistical potentials: Introducing HoTMuSiC.利用统计势预测点突变后蛋白质的热稳定性变化:引入HoTMuSiC。
Sci Rep. 2016 Mar 18;6:23257. doi: 10.1038/srep23257.
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Causes of evolutionary rate variation among protein sites.蛋白质位点间进化速率变化的原因。
Nat Rev Genet. 2016 Feb;17(2):109-21. doi: 10.1038/nrg.2015.18. Epub 2016 Jan 19.
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Water Mediated Interactions and the Protein Folding Phase Diagram in the Temperature-Pressure Plane.温度-压力平面中的水介导相互作用与蛋白质折叠相图
J Phys Chem B. 2015 Aug 27;119(34):11416-27. doi: 10.1021/acs.jpcb.5b03828. Epub 2015 Jul 9.
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The hydrophobic temperature dependence of amino acids directly calculated from protein structures.直接从蛋白质结构计算得出的氨基酸的疏水温度依赖性。
PLoS Comput Biol. 2015 May 22;11(5):e1004277. doi: 10.1371/journal.pcbi.1004277. eCollection 2015 May.
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Universal distribution of mutational effects on protein stability, uncoupling of protein robustness from sequence evolution and distinct evolutionary modes of prokaryotic and eukaryotic proteins.突变对蛋白质稳定性影响的普遍分布、蛋白质稳健性与序列进化的解耦以及原核生物和真核生物蛋白质不同的进化模式。
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A mechanistic stress model of protein evolution accounts for site-specific evolutionary rates and their relationship with packing density and flexibility.一种蛋白质进化的机械应力模型解释了特定部位的进化速率及其与包装密度和柔韧性的关系。
BMC Evol Biol. 2014 Apr 9;14:78. doi: 10.1186/1471-2148-14-78.
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Protein thermostability prediction within homologous families using temperature-dependent statistical potentials.基于温度依赖的统计势能预测同源家族内的蛋白质热稳定性。
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9
Mutational effects on stability are largely conserved during protein evolution.突变对稳定性的影响在蛋白质进化过程中在很大程度上是保守的。
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10
Evolutionary biochemistry: revealing the historical and physical causes of protein properties.进化生物化学:揭示蛋白质性质的历史和物理原因。
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对蛋白质热稳定性的深入理解:从分子尺度到结构组尺度

Improved insights into protein thermal stability: from the molecular to the structurome scale.

作者信息

Pucci Fabrizio, Rooman Marianne

机构信息

Department of BioModeling, BioInformatics and BioProcesses, Université Libre de Bruxelles, CP 165/61, Roosevelt Avenue 50, 1050 Brussels, Belgium Interuniversity Institute of Bioinformatics in Brussels, CP 263, Triumph Boulevard, 1050 Brussels, Belgium

Department of BioModeling, BioInformatics and BioProcesses, Université Libre de Bruxelles, CP 165/61, Roosevelt Avenue 50, 1050 Brussels, Belgium Interuniversity Institute of Bioinformatics in Brussels, CP 263, Triumph Boulevard, 1050 Brussels, Belgium.

出版信息

Philos Trans A Math Phys Eng Sci. 2016 Nov 13;374(2080). doi: 10.1098/rsta.2016.0141.

DOI:10.1098/rsta.2016.0141
PMID:27698032
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5052726/
Abstract

Despite the intense efforts of the last decades to understand the thermal stability of proteins, the mechanisms responsible for its modulation still remain debated. In this investigation, we tackle this issue by showing how a multiscale perspective can yield new insights. With the help of temperature-dependent statistical potentials, we analysed some amino acid interactions at the molecular level, which are suggested to be relevant for the enhancement of thermal resistance. We then investigated the thermal stability at the protein level by quantifying its modification upon amino acid substitutions. Finally, a large scale analysis of protein stability-at the structurome level-contributed to the clarification of the relation between stability and natural evolution, thereby showing that the mutational profile of proteins differs according to their thermal properties. Some considerations on how the multiscale approach could help in unravelling the protein stability mechanisms are briefly discussed.This article is part of the themed issue 'Multiscale modelling at the physics-chemistry-biology interface'.

摘要

尽管在过去几十年里人们付出了巨大努力来理解蛋白质的热稳定性,但其调节机制仍存在争议。在本研究中,我们通过展示多尺度视角如何能产生新的见解来解决这个问题。借助温度依赖性统计势,我们在分子水平上分析了一些氨基酸相互作用,这些相互作用被认为与热抗性的增强有关。然后,我们通过量化氨基酸替换后蛋白质的修饰情况来研究蛋白质水平的热稳定性。最后,在结构组水平上对蛋白质稳定性进行大规模分析,有助于阐明稳定性与自然进化之间的关系,从而表明蛋白质的突变谱根据其热性质而有所不同。本文还简要讨论了多尺度方法如何有助于揭示蛋白质稳定性机制。本文是主题为“物理 - 化学 - 生物学界面的多尺度建模”特刊的一部分。