Harvard University, School of Engineering and Applied Sciences, Cambridge, Massachusetts 02138, USA.
Harvard University, Department of Chemistry and Chemical Biology, Cambridge, Massachusetts 02138, USA.
Phys Rev E. 2017 Jun;95(6-1):062403. doi: 10.1103/PhysRevE.95.062403. Epub 2017 Jun 6.
Subdiffusion in conformational dynamics of proteins is observed both experimentally and in simulations. Although its origin has been attributed to multiple mechanisms, including trapping on a rugged energy landscape, fractional Brownian noise, or a fractal topology of the energy landscape, it is unclear which of these, if any, is most relevant. To obtain insights into the actual mechanism, we introduce an analytically tractable hierarchical trapping model and apply it to molecular dynamics simulation trajectories of three proteins in solution. The analysis of the simulations introduces a subdiffusive exponent that varies with time and associates plateaus in the mean-squared displacement with traps on the energy landscape. This analysis permits us to separate the component of subdiffusion due to a trapping mechanism from that due to an underlying fluctuating process, such as fractional Brownian motion. The present results thus provide insights concerning the physical origin of subdiffusion in the dynamics of proteins.
蛋白质构象动力学中的亚扩散现象在实验和模拟中都有观察到。尽管其起源归因于多种机制,包括在崎岖的能量景观上的捕获、分数布朗噪声或能量景观的分形拓扑结构,但尚不清楚这些机制中哪些(如果有)是最相关的。为了深入了解实际机制,我们引入了一个可分析的层次陷阱模型,并将其应用于三种溶液中蛋白质的分子动力学模拟轨迹。对模拟的分析引入了一个随时间变化的亚扩散指数,并将均方位移的平台与能量景观上的陷阱联系起来。这种分析使我们能够将由于捕获机制而导致的亚扩散分量与由于潜在的波动过程(如分数布朗运动)而导致的亚扩散分量分开。因此,目前的结果提供了有关蛋白质动力学中亚扩散物理起源的见解。