Hilser V J, Gómez J, Freire E
Department of Biology, Johns Hopkins University, Baltimore, Maryland 21218, USA.
Proteins. 1996 Oct;26(2):123-33. doi: 10.1002/(SICI)1097-0134(199610)26:2<123::AID-PROT2>3.0.CO;2-H.
Two effects are mainly responsible for the observed enthalpy change in protein unfolding: the disruption of internal interactions within the protein molecule (van der Waals, hydrogen bonds, etc.) and the hydration of the groups that are buried in the native state and become exposed to the solvent on unfolding. In the traditional thermodynamic analysis, the effects of hydration have usually been evaluated using the thermodynamic data for the transfer of small model compounds from the gas phase to water. The contribution of internal interactions, on the other hand, are usually estimated by subtracting the hydration effects from the experimental enthalpy of unfolding. The main drawback of this approach is that the enthalpic contributions of hydration, and those due to the disruption of internal interactions, are more than one order of magnitude larger than the experimental enthalpy value. The enthalpy contributions of hydration and disruption of internal interactions have opposite signs and cancel each other almost completely resulting in a final value that is over 10 times smaller than the individual terms. For this reason, the classical approach cannot be used to accurately predict unfolding enthalpies from structure: any error in the estimation of the hydration enthalpy will be amplified by a factor of 10 or more in the estimation of the unfolding enthalpy. Recently, it has been shown that simple parametric equations that relate the enthalpy change with certain structural parameters, especially changes in solvent accessible surface areas have considerable predictive power. In this paper, we provide a physical foundation to that parametrization and in the process we present a system of equations that explicitly includes the enthalpic effects of the packing density between the different atoms within the protein molecule. Using this approach, the error in the prediction of folding/unfolding enthalpies at 60 degrees C, the median temperature for thermal unfolding, is better than +/- 3% (standard deviation = 4 kcal/mol).
蛋白质分子内部相互作用(范德华力、氢键等)的破坏,以及在天然状态下被掩埋而在解折叠时暴露于溶剂中的基团的水合作用。在传统的热力学分析中,通常使用小分子模型化合物从气相转移到水相的热力学数据来评估水合作用的影响。另一方面,内部相互作用的贡献通常通过从实验解折叠焓中减去水合作用的影响来估算。这种方法的主要缺点是,水合作用的焓贡献以及内部相互作用破坏所导致的焓贡献,比实验焓值大一个数量级以上。水合作用和内部相互作用破坏的焓贡献具有相反的符号,几乎完全相互抵消,最终值比各个项小10倍以上。因此,经典方法不能用于从结构准确预测解折叠焓:水合焓估计中的任何误差在解折叠焓的估计中都会放大10倍或更多。最近,研究表明,将焓变与某些结构参数,特别是溶剂可及表面积的变化相关联的简单参数方程具有相当强的预测能力。在本文中,我们为该参数化提供了物理基础,在此过程中我们提出了一个方程组,该方程组明确包括了蛋白质分子内不同原子之间堆积密度的焓效应。使用这种方法,在60℃(热解折叠的中位温度)下折叠/解折叠焓预测的误差优于±3%(标准差 = 4千卡/摩尔)。