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蛋白质折叠的热力学:随机矩阵公式。

Thermodynamics of protein folding: a random matrix formulation.

机构信息

Department of Physics, Indian Institute of Technology, Kharagpur, India.

出版信息

J Phys Condens Matter. 2010 Oct 20;22(41):415106. doi: 10.1088/0953-8984/22/41/415106. Epub 2010 Sep 30.

Abstract

The process of protein folding from an unfolded state to a biologically active, folded conformation is governed by many parameters, e.g. the sequence of amino acids, intermolecular interactions, the solvent, temperature and chaperon molecules. Our study, based on random matrix modeling of the interactions, shows, however, that the evolution of the statistical measures, e.g. Gibbs free energy, heat capacity, and entropy, is single parametric. The information can explain the selection of specific folding pathways from an infinite number of possible ways as well as other folding characteristics observed in computer simulation studies.

摘要

蛋白质从无规则状态折叠成具有生物活性的折叠构象的过程受许多参数的控制,例如氨基酸序列、分子间相互作用、溶剂、温度和伴侣分子。然而,我们的研究基于相互作用的随机矩阵建模,表明统计量(例如吉布斯自由能、热容和熵)的演化是单参数的。这些信息可以解释特定折叠途径的选择,从无数可能的方式中选择,以及在计算机模拟研究中观察到的其他折叠特征。

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