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柯克伍德-布夫理论及共溶剂对生化反应的影响。

The Kirkwood-Buff theory and the effect of cosolvents on biochemical reactions.

作者信息

Shimizu Seishi, Boon Chandra L

机构信息

York Structural Biology Laboratory, Department of Chemistry, University of York Heslington, York, North Yorkshire YO10 5YW, United Kingdom.

出版信息

J Chem Phys. 2004 Nov 8;121(18):9147-55. doi: 10.1063/1.1806402.

Abstract

Cosolvents added to aqueous solutions of biomolecules profoundly affect protein stability, as well as biochemical equilibria. Some cosolvents, such as urea and guanidine hydrochloride, denature proteins, whereas others, such as osmolytes and crowders, stabilize the native structures of proteins. The way cosolvents interact with biomolecules is crucial information required to understand the cosolvent effect at a molecular level. We present a statistical mechanical framework based upon Kirkwood-Buff theory, which enables one to extract this picture from experimental data. The combination of two experimental results, namely, the cosolvent-induced equilibrium shift and the partial molar volume change upon the reaction, supplimented by the structural change, is shown to yield the number of water and cosolvent molecules bound or released during a reaction. Previously, denaturation experiments (e.g., m-value analysis) were analyzed by empirical and stoichiometric solvent-binding models, while the effects of osmolytes and crowders were analyzed by the approximate molecular crowding approach for low cosolvent concentration. Here we synthesize these previous approaches in a rigorous statistical mechanical treatment, which is applicable at any cosolvent concentration. The usefulness and accuracy of previous approaches was also evaluated.

摘要

添加到生物分子水溶液中的共溶剂会深刻影响蛋白质稳定性以及生化平衡。一些共溶剂,如尿素和盐酸胍,会使蛋白质变性,而其他一些共溶剂,如渗透剂和拥挤剂,则会稳定蛋白质的天然结构。共溶剂与生物分子相互作用的方式是在分子水平上理解共溶剂效应所需的关键信息。我们提出了一个基于柯克伍德-布夫理论的统计力学框架,该框架能够从实验数据中提取出这一情况。实验结果的组合,即共溶剂诱导的平衡移动和反应时的偏摩尔体积变化,并辅以结构变化,被证明可以得出反应过程中结合或释放的水分子和共溶剂分子的数量。以前,变性实验(如m值分析)是通过经验和化学计量学溶剂结合模型进行分析的,而渗透剂和拥挤剂的影响则是通过低共溶剂浓度下的近似分子拥挤方法进行分析的。在这里,我们在严格的统计力学处理中综合了这些以前的方法,该处理适用于任何共溶剂浓度。我们还评估了以前方法的实用性和准确性。

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