Suppr超能文献

使用现实的变性和天然状态集合研究折叠过程中蛋白质主链熵损失的上下文和力场依赖性。

Context and force field dependence of the loss of protein backbone entropy upon folding using realistic denatured and native state ensembles.

机构信息

Institute for Biophysical Dynamics, The University of Chicago, 929 East 57th Street, Chicago, Illinois 60637, United States.

出版信息

J Am Chem Soc. 2012 Sep 26;134(38):15929-36. doi: 10.1021/ja3064028. Epub 2012 Sep 14.

Abstract

The loss of conformational entropy is the largest unfavorable quantity affecting a protein's stability. We calculate the reduction in the number of backbone conformations upon folding using the distribution of backbone dihedral angles (ϕ,ψ) obtained from an experimentally validated denatured state model, along with all-atom simulations for both the denatured and native states. The average loss of entropy per residue is TΔS(BB)(U-N) = 0.7, 0.9, or 1.1 kcal·mol(-1) at T = 298 K, depending on the force field used, with a 0.6 kcal·mol(-1) dispersion across the sequence. The average equates to a decrease of a factor of 3-7 in the number of conformations available per residue (f = Ω(Denatured)/Ω(Native)) or to a total of f(tot) = 3(n)-7(n) for an n residue protein. Our value is smaller than most previous estimates where f = 7-20, that is, our computed TΔS(BB)(U-N) is smaller by 10-100 kcal mol(-1) for n = 100. The differences emerge from our use of realistic native and denatured state ensembles as well as from the inclusion of accurate local sequence preferences, neighbor effects, and correlated motions (vibrations), in contrast to some previous studies that invoke gross assumptions about the entropy in either or both states. We find that the loss of entropy primarily depends on the local environment and less on properties of the native state, with the exception of α-helical residues in some force fields.

摘要

构象熵的损失是影响蛋白质稳定性的最大不利因素。我们使用从实验验证的变性状态模型获得的骨架二面角(ϕ,ψ)分布以及变性状态和天然状态的全原子模拟来计算折叠时骨架构象数目的减少。在 T = 298 K 时,每个残基的平均熵损失为 TΔS(BB)(U-N) = 0.7、0.9 或 1.1 kcal·mol(-1),具体取决于所使用的力场,序列中存在 0.6 kcal·mol(-1)的离散性。平均值相当于每个残基可用构象数目的减少因子为 3-7(f = Ω(Denatured)/Ω(Native)),或者对于 n 残基蛋白质总共减少 f(tot) = 3(n)-7(n)。我们的价值小于大多数先前的估计值,其中 f = 7-20,也就是说,对于 n = 100,我们计算的 TΔS(BB)(U-N) 小 10-100 kcal mol(-1)。差异来自我们使用现实的天然状态和变性状态集合以及包括准确的局部序列偏好、邻域效应和相关运动(振动),而不是一些先前的研究对任一状态或两个状态的熵进行了粗略的假设。我们发现熵的损失主要取决于局部环境,而较少取决于天然状态的性质,除了某些力场中的α-螺旋残基。

相似文献

6
Conformational entropy of alanine versus glycine in protein denatured states.蛋白质变性状态下丙氨酸与甘氨酸的构象熵
Proc Natl Acad Sci U S A. 2007 Feb 20;104(8):2661-6. doi: 10.1073/pnas.0611182104. Epub 2007 Feb 16.
7
Thermodynamics of protein denatured states.蛋白质变性状态的热力学
Mol Biosyst. 2007 Feb;3(2):88-99. doi: 10.1039/b611895j. Epub 2006 Nov 7.
10
Reframing the Protein Folding Problem: Entropy as Organizer.重新构建蛋白质折叠问题:熵作为组织者。
Biochemistry. 2021 Dec 14;60(49):3753-3761. doi: 10.1021/acs.biochem.1c00687. Epub 2021 Dec 2.

引用本文的文献

本文引用的文献

9
Force field bias in protein folding simulations.蛋白质折叠模拟中的力场偏差
Biophys J. 2009 May 6;96(9):3772-80. doi: 10.1016/j.bpj.2009.02.033.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验