Seelig Joachim, Seelig Anna
Biozentrum, University of Basel, Spitalstrasse 41, CH-4056 Basel, Switzerland.
J Phys Chem B. 2023 Oct 5;127(39):8296-8304. doi: 10.1021/acs.jpcb.3c03558. Epub 2023 Sep 21.
Chemical unfolding with guanidineHCl or urea is a common method to study the conformational stability of proteins. The analysis of unfolding isotherms is usually performed with an empirical linear extrapolation method (LEM). A large positive free energy is assigned to the native protein, which is usually considered to be a minimum of the free energy. The method thus contradicts common expectations. Here, we present a multistate cooperative model that addresses specifically the binding of the denaturant to the protein and the cooperativity of the protein unfolding equilibrium. The model is based on a molecular statistical-mechanical partition function of the ensemble, but simple solutions for the calculation of the binding isotherm and the associated free energy are presented. The model is applied to 23 published unfolding isotherms of small and large proteins. For a given denaturant, the binding constant depends on temperature and pH but shows little protein specificity. Chemical unfolding is less cooperative than thermal unfolding. The cooperativity parameter σ is at least 2 orders of magnitude larger than that of thermal unfolding. The multistate cooperative model predicts zero free energy for the native protein, which becomes strongly negative beyond the midpoint concentration of unfolding. The free energy to unfold a cooperative unit corresponds exactly to the diffusive energy of the denaturant concentration gradient necessary for unfolding. The temperature dependence of unfolding isotherms yields the denaturant-induced unfolding entropy and, in turn, the unfolding enthalpy. The multistate cooperative model provides molecular insight and is as simple to apply as the LEM but avoids the conceptual difficulties of the latter.
用盐酸胍或尿素进行化学变性是研究蛋白质构象稳定性的常用方法。变性等温线的分析通常采用经验线性外推法(LEM)。给天然蛋白质赋予一个很大的正自由能,通常认为它是自由能的最小值。因此该方法与通常的预期相矛盾。在此,我们提出一个多态协同模型,该模型专门针对变性剂与蛋白质的结合以及蛋白质变性平衡的协同性。该模型基于系综的分子统计力学配分函数,但给出了计算结合等温线和相关自由能的简单方法。该模型应用于23个已发表的大小蛋白质的变性等温线。对于给定的变性剂,结合常数取决于温度和pH,但蛋白质特异性较小。化学变性的协同性不如热变性。协同参数σ比热变性的至少大2个数量级。多态协同模型预测天然蛋白质的自由能为零,在变性中点浓度之后变为强负值。展开一个协同单元的自由能恰好对应于变性所需的变性剂浓度梯度的扩散能。变性等温线的温度依赖性产生变性剂诱导的变性熵,进而得到变性焓。多态协同模型提供了分子层面的见解,应用起来与LEM一样简单,但避免了后者的概念性难题。