Millard Charles E F, Wrabl James O, Brantley Sarah J, Grasso Emily, Schmitz Anna, White Jordan T, Hilser Vincent J
Department of Biology, Johns Hopkins University, Baltimore, MD 21218, USA.
Department of Biology, Johns Hopkins University, Baltimore, MD 21218, USA.
J Mol Biol. 2025 Jun 9:169287. doi: 10.1016/j.jmb.2025.169287.
Allostery is the process by which perturbation at one site in a protein affects distal sites. For many years the understanding of allostery and other functions was influenced by the high-resolution, ground state structure obtained through X-ray crystallography. Ample evidence has meanwhile accumulated that this ground state structure is only one member of the biologically relevant group of conformations, known as the protein ensemble, which collectively affect the observed biological response. This review aims to; (1) focus statistical thermodynamic formalisms on quantitative description of the ensemble, (2) illustrate the functional implications of ensembles for allostery, and (3) highlight ensemble redistribution as a unifying principle underlying all biological processes. Emphasis is placed on the importance of locally unfolded regions, i.e. excited states, underpinning two theoretical treatments developed in this laboratory: a coarse-grained Ensemble Allosteric Model (EAM) and an atomic-detail model named COREX. Locally unfolded conformations are profiled with case studies of allosteric proteins that are mostly denatured (Glucocorticoid Receptor), that are mostly folded (Adenylate Kinase), and that populate alternative folded structures (Metamorphic Proteins). These examples demonstrate that redistribution of states within the thermodynamic ensemble is sufficient to explain disparate biological phenomena including allostery, epistatic effects, and responses to environmental stimuli such as temperature - often without reliance on the structural details. The coarse-grained nature of the models highlights the degeneracy of molecular mechanisms that have evolved to facilitate function, and thus draws attention to the importance of relative energy differences between states, as opposed to the specific interactions that stabilize them.
别构效应是指蛋白质中一个位点的扰动影响远端位点的过程。多年来,对别构效应和其他功能的理解受到通过X射线晶体学获得的高分辨率基态结构的影响。与此同时,大量证据表明,这种基态结构只是生物相关构象组(即蛋白质系综)中的一员,这些构象共同影响观察到的生物反应。本综述旨在:(1)将统计热力学形式主义聚焦于对系综的定量描述;(2)说明系综对别构效应的功能影响;(3)强调系综再分布是所有生物过程的统一原则。重点在于局部未折叠区域(即激发态)的重要性,其支撑了本实验室开发的两种理论处理方法:粗粒度的系综别构模型(EAM)和名为COREX的原子细节模型。通过对主要变性的别构蛋白(糖皮质激素受体)、主要折叠的别构蛋白(腺苷酸激酶)以及具有替代折叠结构的别构蛋白(变构蛋白)的别构案例研究,对局部未折叠构象进行了剖析。这些例子表明,热力学系综内状态的再分布足以解释包括别构效应、上位效应以及对温度等环境刺激的反应等不同的生物现象——通常无需依赖结构细节。模型的粗粒度性质突出了为促进功能而进化的分子机制的简并性,从而提请人们注意状态之间相对能量差异的重要性,而不是稳定它们的特定相互作用。