Scott Kathryn A, Clarke Jane
Medical Research Council Centre for Protein Engineering, University of Cambridge Chemical Laboratory, Lensfield Road, Cambridge, CB2 1EW, United Kingdom.
Protein Sci. 2005 Jun;14(6):1617-29. doi: 10.1110/ps.051377105.
A number of models have been proposed to account for nonlinearity in the relation between observed rate constants for folding and/or unfolding and denaturant concentration. Where curvature is seen principally in the arm of a chevron plot, three explanations are proposed: a change in the ground state at increasing concentration of urea, movement of the transition state along a broad energy barrier, and a switch between two sequential transition states separated by an on-pathway high-energy intermediate. Here we demonstrate that the latter two models in particular can be used to describe the data for the all-alpha protein spectrin R16. Further, whatever the method of analysis, the pattern of Phi-values seen is robust; thus we would draw the same conclusions from our data set independently of the method used for analysis. While this is not a novel observation, this is the first systematic study where a comparison has been made between Phi-values calculated using the broad and sequential transition state models.
已经提出了许多模型来解释折叠和/或去折叠的观测速率常数与变性剂浓度之间关系的非线性。在主要在V形图的臂中观察到曲率的情况下,提出了三种解释:随着尿素浓度增加,基态发生变化;过渡态沿着宽能垒移动;以及在由一个途径上的高能中间体分隔的两个连续过渡态之间切换。在这里,我们证明,特别是后两种模型可用于描述全α蛋白血影蛋白R16的数据。此外,无论分析方法如何,观察到的Phi值模式都是稳健的;因此,无论用于分析的方法如何,我们都会从我们的数据集中得出相同的结论。虽然这不是一个新的观察结果,但这是第一项系统研究,其中对使用宽过渡态模型和连续过渡态模型计算的Phi值进行了比较。