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稀有耗散跃迁标记蛋白质化学变性的起始。

Rare Dissipative Transitions Punctuate the Initiation of Chemical Denaturation in Proteins.

机构信息

IBM Thomas J. Watson Research Center, Yorktown Heights, New York.

IBM Thomas J. Watson Research Center, Yorktown Heights, New York; Department of Chemistry, Columbia University, New York, New York.

出版信息

Biophys J. 2018 Feb 27;114(4):812-821. doi: 10.1016/j.bpj.2017.12.038.

Abstract

Protein unfolding dynamics are bound by their degree of entropy production, a quantity that relates the amount of heat dissipated by a nonequilibrium process to a system's forward and time-reversed trajectories. We here explore the statistics of heat dissipation that emerge in protein molecules subjected to a chemical denaturant. Coupling large molecular dynamics datasets and Markov state models with the theory of entropy production, we demonstrate that dissipative processes can be rigorously characterized over the course of the urea-induced unfolding of the protein chymotrypsin inhibitor 2. By enumerating full entropy production probability distributions as a function of time, we first illustrate that distinct passive and dissipative regimes are present in the denaturation dynamics. Within the dissipative dynamical region, we next find that chymotrypsin inhibitor 2 is strongly driven into unfolded states in which the protein's hydrophobic core has been penetrated by urea molecules and disintegrated. Detailed analyses reveal that urea's interruption of key hydrophobic contacts between core residues causes many of the protein's native structural features to dissolve.

摘要

蛋白质的展开动力学受到其熵产生程度的限制,熵产生是一个将非平衡过程中耗散的热量与系统的正向和时间反转轨迹相关联的量。我们在这里探索了在化学变性剂作用下的蛋白质分子中出现的耗散热量的统计数据。通过将大型分子动力学数据集和马科夫状态模型与熵产生理论相结合,我们证明了在脲诱导的 chymotrypsin 抑制剂 2 展开过程中,可以严格描述耗散过程。通过随时间枚举完整的熵产生概率分布,我们首先说明在变性动力学中存在不同的被动和耗散状态。在耗散动力学区域内,我们发现 chymotrypsin 抑制剂 2 被强烈地驱动进入展开状态,其中蛋白质的疏水核心已被脲分子穿透并瓦解。详细的分析表明,脲中断核心残基之间的关键疏水接触导致蛋白质的许多天然结构特征溶解。

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本文引用的文献

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Heat dissipation guides activation in signaling proteins.散热引导信号蛋白的激活。
Proc Natl Acad Sci U S A. 2015 Aug 18;112(33):10377-82. doi: 10.1073/pnas.1501804112. Epub 2015 Aug 3.
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Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Mar;91(3):032136. doi: 10.1103/PhysRevE.91.032136. Epub 2015 Mar 24.
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Dynamic phase transitions in simple driven kinetic networks.简单驱动动力学网络中的动态相变
Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Jun;89(6):062108. doi: 10.1103/PhysRevE.89.062108. Epub 2014 Jun 5.
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How force unfolding differs from chemical denaturation.构象展开与化学变性的区别。
Proc Natl Acad Sci U S A. 2014 Mar 4;111(9):3413-8. doi: 10.1073/pnas.1400752111. Epub 2014 Feb 18.
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Statistical physics of self-replication.自我复制的统计物理学。
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