Peyser Alexander, Gillespie Dirk, Roth Roland, Nonner Wolfgang
Department of Physiology and Biophysics, Miller School of Medicine, University of Miami, Miami, Florida; Computational Biophysics, German Research School for Simulation Sciences, Jülich, Germany; Simulation Lab Neuroscience -- Bernstein Facility Simulation and Database Technology, Institute for Advanced Simulation, Jülich Aachen Research Alliance, Forschungszentrum Jülich, Jülich, Germany.
Department of Molecular Biophysics and Physiology, Rush University Medical Center, Chicago, Illinois.
Biophys J. 2014 Oct 21;107(8):1841-1852. doi: 10.1016/j.bpj.2014.08.015.
To understand gating events with a time-base many orders-of-magnitude slower than that of atomic motion in voltage-gated ion channels such as the Shaker-type KV channels, a multiscale physical model is constructed from the experimentally well-characterized voltage-sensor (VS) domains coupled to a hydrophobic gate. The four VS domains are described by a continuum electrostatic model under voltage-clamp conditions, the control of ion flow by the gate domain is described by a vapor-lock mechanism, and the simple coupling principle is informed by known experimental results and trial-and-error. The configurational energy computed for each element is used to produce a total Hamiltonian that is a function of applied voltage, VS positions, and gate radius. We compute statistical-mechanical expectation values of macroscopic laboratory observables. This approach stands in contrast with molecular-dynamic models which are challenged by increasing scale, and kinetic models which assume a probability distribution rather than derive it from the underlying physics. This generic model predicts well the Shaker charge/voltage and conductance/voltage relations; the tight constraints underlying these results allow us to quantitatively assess the underlying physical mechanisms. The total electrical work picked up by the VS domains is an order-of-magnitude larger than the work required to actuate the gate itself, suggesting an energetic basis for the evolutionary flexibility of the voltage-gating mechanism. The cooperative slide-and-interlock behavior of the VS domains described by the VS-gate coupling relation leads to the experimentally observed bistable gating. This engineering approach should prove useful in the investigation of various elements underlying gating characteristics and degraded behavior due to mutation.
为了理解门控事件,其时间基准比诸如摇椅型钾离子通道(KV通道)等电压门控离子通道中的原子运动慢许多个数量级,我们构建了一个多尺度物理模型,该模型由实验上已充分表征的与疏水门控相连的电压传感器(VS)结构域组成。在电压钳制条件下,四个VS结构域由连续静电模型描述,门控结构域对离子流的控制由气锁机制描述,简单的耦合原理则依据已知实验结果和反复试验确定。为每个元素计算的构型能量用于生成一个总哈密顿量,它是施加电压、VS位置和门半径的函数。我们计算宏观实验室可观测量的统计力学期望值。这种方法与分子动力学模型形成对比,分子动力学模型因尺度增加而面临挑战,也与动力学模型不同,动力学模型假设概率分布而非从基础物理推导它。这个通用模型很好地预测了摇椅型通道的电荷/电压和电导/电压关系;这些结果背后的严格约束使我们能够定量评估潜在的物理机制。VS结构域收集的总电功比驱动门控本身所需的功大一个数量级,这表明电压门控机制的进化灵活性有一个能量基础。由VS-门控耦合关系描述的VS结构域的协同滑动和互锁行为导致了实验观察到的双稳态门控。这种工程方法在研究门控特性背后的各种元素以及由突变导致的退化行为方面应该会被证明是有用的。