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与热变性和化学变性相比的压力蛋白变性:用协同模型进行分析

Pressure Protein Denaturation Compared to Thermal and Chemical Unfolding: Analyses with Cooperative Models.

作者信息

Seelig Joachim, Seelig Anna

机构信息

Biozentrum, University of Basel, Spitalstrasse 41, CH-4056 Basel, Switzerland.

出版信息

J Phys Chem B. 2025 Jan 30;129(4):1229-1236. doi: 10.1021/acs.jpcb.4c07703. Epub 2025 Jan 17.

Abstract

The thermodynamics of pressure-induced protein denaturation could so far not be directly compared with protein denaturation induced by temperature or chemical agents. Here, we provide a new cooperative model for pressure-induced protein denaturation that allows the quantitative comparison of all three denaturing processes based on their free energy, enthalpy, entropy, and cooperativity. As model proteins, we use apolipoprotein A-1 and lysozyme. The comparison shows that heat-induced unfolding is the most cooperative process. It is characterized by large positive enthalpies and entropies and (due to enthalpy-entropy compensation) small negative free energies. Pressure denaturation is less cooperative. The entropies and enthalpies are less positive, and the resulting free energies are more negative. Chemically induced unfolding is the least cooperative and shows the most negative free energies, in particular, if guanidinium hydrochloride (exhibiting a high binding affinity to certain proteins) is used as a denaturant. The three unfolding processes differ not only with respect to their cooperativity and the thermodynamic parameters but also with respect to the volume changes, suggesting structural differences of the denatured proteins. Using cooperative models thus yields significant new insights into the protein unfolding/folding processes.

摘要

迄今为止,压力诱导蛋白质变性的热力学过程尚无法直接与温度或化学试剂诱导的蛋白质变性相比较。在此,我们提供了一种新的压力诱导蛋白质变性协同模型,该模型能够基于自由能、焓、熵和协同性对所有三种变性过程进行定量比较。作为模型蛋白,我们使用载脂蛋白A-1和溶菌酶。比较结果表明,热诱导去折叠是最具协同性的过程。其特征在于具有较大的正焓和正熵,并且(由于焓-熵补偿)具有较小的负自由能。压力变性的协同性较低。熵和焓的正值较小,而产生的自由能更负。化学诱导去折叠的协同性最低,并且显示出最负的自由能,特别是当使用盐酸胍(对某些蛋白质具有高结合亲和力)作为变性剂时。这三种去折叠过程不仅在协同性和热力学参数方面存在差异,而且在体积变化方面也存在差异,这表明变性蛋白质的结构存在差异。因此,使用协同模型能够对蛋白质去折叠/折叠过程产生重要的新见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0602/11789134/2c24e4e72b11/jp4c07703_0001.jpg

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