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蛋白质稳定性─无变性模型和变性模型下的热和冷变性分析。

Protein Stability─Analysis of Heat and Cold Denaturation without and with Unfolding Models.

机构信息

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

出版信息

J Phys Chem B. 2023 Apr 20;127(15):3352-3363. doi: 10.1021/acs.jpcb.3c00882. Epub 2023 Apr 11.

DOI:10.1021/acs.jpcb.3c00882
PMID:37040567
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10123674/
Abstract

Protein stability is important in many areas of life sciences. Thermal protein unfolding is investigated extensively with various spectroscopic techniques. The extraction of thermodynamic properties from these measurements requires the application of models. Differential scanning calorimetry (DSC) is less common, but is unique as it measures directly a thermodynamic property, that is, the heat capacity (). The analysis of () is usually performed with the chemical equilibrium two-state model. This is not necessary and leads to incorrect thermodynamic consequences. Here we demonstrate a straightforward model-independent evaluation of heat capacity experiments in terms of protein unfolding enthalpy Δ(), entropy Δ(), and free energy Δ()). This now allows the comparison of the experimental thermodynamic data with the predictions of different models. We critically examined the standard chemical equilibrium two-state model, which predicts a positive free energy for the native protein, and diverges distinctly from the experimental temperature profiles. We propose two new models which are equally applicable to spectroscopy and calorimetry. The Θ()-weighted chemical equilibrium model and the statistical-mechanical two-state model provide excellent fits of the experimental data. They predict sigmoidal temperature profiles for enthalpy and entropy, and a trapezoidal temperature profile for the free energy. This is illustrated with experimental examples for heat and cold denaturation of lysozyme and β-lactoglobulin. We then show that the free energy is not a good criterion to judge protein stability. More useful parameters are discussed, including protein cooperativity. The new parameters are embedded in a well-defined thermodynamic context and are amenable to molecular dynamics calculations.

摘要

蛋白质稳定性在生命科学的许多领域都很重要。人们广泛地使用各种光谱技术来研究蛋白质的热变性。从这些测量中提取热力学性质需要应用模型。差示扫描量热法(DSC)虽然不常见,但它具有独特的优势,因为它可以直接测量热力学性质,即热容()。通常使用化学平衡两态模型来分析()。但这种方法并非必要,并且会导致不正确的热力学结果。在这里,我们展示了一种简单的、无需模型的方法,可以根据蛋白质变性焓Δ()、熵Δ()和自由能Δ()来评估热容实验。这使得可以将实验热力学数据与不同模型的预测进行比较。我们对标准的化学平衡两态模型进行了严格的检验,该模型预测天然蛋白质具有正值的自由能,与实验温度曲线明显偏离。我们提出了两个新模型,它们同样适用于光谱学和量热法。Θ()加权化学平衡模型和统计力学两态模型可以很好地拟合实验数据。它们预测了焓和熵的钟形温度曲线,以及自由能的梯形温度曲线。这通过对溶菌酶和β-乳球蛋白的热和冷变性的实验实例进行了说明。然后我们表明,自由能不是判断蛋白质稳定性的好标准。我们讨论了更有用的参数,包括蛋白质协同性。新参数嵌入在明确定义的热力学背景中,并适用于分子动力学计算。

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