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蛋白质折叠的自由能和协同性的计算。

Calculation of the free energy and cooperativity of protein folding.

机构信息

Department of Molecular Physiology and Biophysics, Mount Sinai School of Medicine, New York University, New York, New York, United States of America.

出版信息

PLoS One. 2007 May 16;2(5):e446. doi: 10.1371/journal.pone.0000446.

Abstract

Calculation of the free energy of protein folding and delineation of its pre-organization are of foremost importance for understanding, predicting and designing biological macromolecules. Here, we introduce an energy smoothing variant of parallel tempering replica exchange Monte Carlo (REMS) that allows for efficient configurational sampling of flexible solutes under the conditions of molecular hydration. Its usage to calculate the thermal stability of a model globular protein, Trp cage TC5b, achieves excellent agreement with experimental measurements. We find that the stability of TC5b is attained through the coupled formation of local and non-local interactions. Remarkably, many of these structures persist at high temperature, concomitant with the origin of native-like configurations and mesostates in an otherwise macroscopically disordered unfolded state. Graph manifold learning reveals that the conversion of these mesostates to the native state is structurally heterogeneous, and that the cooperativity of their formation is encoded largely by the unfolded state ensemble. In all, these studies establish the extent of thermodynamic and structural pre-organization of folding of this model globular protein, and achieve the calculation of macromolecular stability ab initio, as required for ab initio structure prediction, genome annotation, and drug design.

摘要

计算蛋白质折叠的自由能并描绘其预组织对于理解、预测和设计生物大分子至关重要。在这里,我们引入了一种能量平滑的并行温度复制交换蒙特卡罗(REMS)变体,它允许在分子水合的条件下对柔性溶质进行有效的构象采样。该方法用于计算模型球状蛋白 Trp 笼 TC5b 的热稳定性,与实验测量结果具有极好的一致性。我们发现,TC5b 的稳定性是通过局部和非局部相互作用的耦合形成来实现的。值得注意的是,许多这些结构在高温下仍然存在,同时在宏观无序的展开状态中出现了类似天然的构象和介态。图流形学习表明,这些介态向天然态的转化在结构上是不均匀的,并且它们形成的协同作用主要由展开态集合编码。总之,这些研究确定了该模型球状蛋白折叠的热力学和结构预组织的程度,并实现了大分子稳定性的从头计算,这是从头预测结构、基因组注释和药物设计所必需的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b943/1865387/7f86ff08bb97/pone.0000446.g001.jpg

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