Berezhkovskii Alexander, Szabo Attila
Mathematical and Statistical Computing Laboratory, Division for Computational Bioscience, Center for Information Technology, National Institutes of Health, Bethesda, MD 20892, USA.
J Chem Phys. 2006 Sep 14;125(10):104902. doi: 10.1063/1.2347708.
In protein folding, the transition state ensemble is defined as the set of conformations with p(fold)=12, where the p(fold) of a conformation is the probability that starting from this conformation the protein folds before it unfolds. Experimentally, this ensemble is probed by the Phi-value analysis, where Phi is the ratio of the changes in the logarithms of the folding rate and the equilibrium constant when the system is perturbed by a mutation. We show that for a two-state protein the Phi value can be expressed in terms of the perturbation and only the first two eigenfunctions of the evolution operator (e.g., a rate matrix) of the wild-type protein. The first eigenfunction is the equilibrium probability distribution while the second is proportional to p(fold), thus establishing a formal relation between p(fold) and Phi values. In addition to providing insight into the theoretical foundation of the Phi-value analysis, our results may prove practically useful in performing such analyses within the framework of models containing a large number of states.
在蛋白质折叠过程中,过渡态系综被定义为具有p(fold)=1/2的构象集合,其中一种构象的p(fold)是指从该构象开始蛋白质在解折叠之前折叠的概率。在实验中,这个系综通过Phi值分析来探测,其中Phi是当系统因突变而受到扰动时折叠速率和平衡常数对数变化的比值。我们表明,对于两态蛋白质,Phi值可以用扰动以及野生型蛋白质演化算符(例如速率矩阵)的前两个本征函数来表示。第一个本征函数是平衡概率分布,而第二个与p(fold)成正比,从而在p(fold)和Phi值之间建立了形式上的关系。除了深入了解Phi值分析的理论基础外,我们的结果在包含大量状态的模型框架内进行此类分析时可能具有实际用途。