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协同蛋白展开。变性剂作用的统计力学模型。

Cooperative protein unfolding. A statistical-mechanical model for the action of denaturants.

机构信息

Biozentrum, University of Basel, Klingelbergstrasse 70, CH-4056 Basel, Switzerland.

出版信息

Biophys Chem. 2018 Feb;233:19-25. doi: 10.1016/j.bpc.2017.12.001. Epub 2017 Dec 5.

DOI:10.1016/j.bpc.2017.12.001
PMID:29232602
Abstract

Knowledge of protein stability is of utmost importance in various fields of biotechnology. Protein stability can be assessed in solution by increasing the concentration of denaturant and recording the structural changes with spectroscopic or thermodynamic methods. The standard interpretation of the experimental data is to assume a 2-state equilibrium between completely folded and completely unfolded protein molecules. Here we propose a cooperative model based on the statistical-mechanical Zimm-Bragg theory. In this model protein unfolding is driven by the weak binding of a rather small number of denaturant molecules, inducing the cooperative unfolding with multiple dynamic intermediates. The modified Zimm-Bragg theory is applied to published thermodynamic and spectroscopic data leading to the following conclusions. (i) The binding constant K is correlated with the midpoint concentration, c, of the unfolding reaction according to c≅1/K. The better the binding of denaturant the lower is the concentration to achieve unfolding. (ii) The binding constant K agrees with direct thermodynamic measurements. A rather small number of bound denaturants suffices to induce the cooperative unfolding of the whole protein. (iii) Chemical unfolding occurs in the concentration range Δc=c-c. The theory predicts the unfolding energy per amino acid residue as g=RTK(c-c). The Gibbs free energy of an osmotic gradient of the same size is ΔG=-RTln(c/c). In all examples investigated ΔG exactly balances the unfolding energy g. The total unfolding energy is thus close to zero. (iv) Protein cooperativity in chemical unfolding is rather low with cooperativity parameters σ≥3x10. As a consequence, the theory predicts a dynamic mixture of conformations during the unfolding reaction. The probabilities of individual conformations are easily accessible via the partition function Z(c,σ).

摘要

蛋白质稳定性在生物技术的各个领域都至关重要。可以通过增加变性剂的浓度并使用光谱或热力学方法记录结构变化来评估蛋白质的稳定性。实验数据的标准解释是假设完全折叠和完全展开的蛋白质分子之间存在 2 态平衡。在这里,我们提出了一个基于统计力学 Zimm-Bragg 理论的合作模型。在该模型中,蛋白质的展开是由相当少量变性剂分子的弱结合驱动的,从而诱导具有多个动态中间态的协同展开。对已发表的热力学和光谱数据应用修改后的 Zimm-Bragg 理论,得出以下结论。(i) 结合常数 K 与展开反应的中点浓度 c 相关,c≅1/K。变性剂结合得越好,达到展开所需的浓度就越低。(ii) 结合常数 K 与直接热力学测量一致。相当少量的结合变性剂就足以诱导整个蛋白质的协同展开。(iii) 化学展开发生在 Δc=c-c 的浓度范围内。该理论预测每个氨基酸残基的展开能为 g=RTK(c-c)。相同大小的渗透梯度的吉布斯自由能为 ΔG=-RTln(c/c)。在所有研究的例子中,ΔG 与展开能 g 精确平衡。因此,总展开能接近于零。(iv) 化学展开中的蛋白质协同性相当低,协同参数 σ≥3x10。因此,该理论预测在展开反应中存在构象的动态混合物。通过分区函数 Z(c,σ) 可以轻松访问各个构象的概率。

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