Song Benben, Cho Jae-Hyun, Raleigh Daniel P
Department of Chemistry, State University of New York at Stony Brook, Stony Brook, New York 11794-3400, USA.
Biochemistry. 2007 Dec 11;46(49):14206-14. doi: 10.1021/bi701645g. Epub 2007 Nov 15.
The traditional approach to studying protein folding involves applying a perturbation, usually denaturant or mutation, and determining the effect upon the free energy of folding, DeltaG0, and the activation free energy, DeltaG(not equal). Data collected as a function of the perturbation can be used to construct rate equilibrium free-energy relationships, which report on the development of interactions in the transition state for folding. We examine the use of the ionic-strength-dependent rate equilibrium free-energy relationship in protein folding using the N-terminal domain of L9, a small alpha-beta protein, as a model system. Folding is two-state for the range of ionic strength examined, 0.045-1.52 M. The plot of DeltaG(not equal) versus DeltaG0 is linear (r2= 0.918), with a slope equal to 0.45. The relatively low value of the slope indicates that the ionic-strength-dependent interactions are modestly developed in the transition state. The slope is, however, greater than that of a plot of DeltaG(not equal) versus DeltaG0 constructed by varying pH, thus demonstrating directly that ionic-strength-dependent studies probe more than simple electrostatic interactions. Potential transition movement was probed by analysis of the denaturant, ionic strength cross-interaction parameters. The values are small but nonzero and positive, suggesting a small shift of the transition state toward the native state as the protein is destabilized, i.e., Hammond behavior. The complications that arise in the interpretation of ionic-strength-dependent rate equilibrium free-energy relationships are discussed, and it is concluded that the ionic-strength-dependent studies do not provide a reliable indicator of the role of electrostatic interactions. Complications include incomplete screening of electrostatic interactions, specific ion binding, Hofmeister effects, and the potential presence of electrostatic interactions in the denatured state ensemble.
研究蛋白质折叠的传统方法包括施加一种扰动,通常是变性剂或突变,并确定其对折叠自由能ΔG0和活化自由能ΔG(不等于)的影响。作为扰动函数收集的数据可用于构建速率平衡自由能关系,该关系反映了折叠过渡态中相互作用的发展情况。我们以小α-β蛋白L9的N端结构域为模型系统,研究了离子强度依赖性速率平衡自由能关系在蛋白质折叠中的应用。在所研究的离子强度范围0.045 - 1.52 M内,折叠是两态的。ΔG(不等于)对ΔG0的图是线性的(r2 = 0.918),斜率等于0.45。斜率的相对较低值表明离子强度依赖性相互作用在过渡态中适度发展。然而,该斜率大于通过改变pH构建的ΔG(不等于)对ΔG0的图的斜率,从而直接表明离子强度依赖性研究探测的不仅仅是简单的静电相互作用。通过分析变性剂、离子强度交叉相互作用参数来探测潜在的过渡态移动。这些值很小但非零且为正,表明随着蛋白质不稳定,过渡态向天然态有小的移动,即哈蒙德行为。讨论了在解释离子强度依赖性速率平衡自由能关系时出现的复杂情况,并得出结论:离子强度依赖性研究不能提供静电相互作用作用的可靠指标。复杂情况包括静电相互作用的不完全屏蔽、特定离子结合、霍夫迈斯特效应以及变性态集合中静电相互作用的潜在存在。