Delemotte Lucie, Kasimova Marina A, Klein Michael L, Tarek Mounir, Carnevale Vincenzo
Institute for Computational Molecular Science, Temple University, Philadelphia, PA 19122;
Université de Lorraine, Structure et Réactivité des Systèmes Moléculaires Complexes, Vandoeuvre-lés-Nancy, F-54506 France; Lomonosov Moscow State University, Moscow, 119991, Russian Federation; and.
Proc Natl Acad Sci U S A. 2015 Jan 6;112(1):124-9. doi: 10.1073/pnas.1416959112. Epub 2014 Dec 22.
Voltage sensor domains (VSDs) are membrane-bound protein modules that confer voltage sensitivity to membrane proteins. VSDs sense changes in the transmembrane voltage and convert the electrical signal into a conformational change called activation. Activation involves a reorganization of the membrane protein charges that is detected experimentally as transient currents. These so-called gating currents have been investigated extensively within the theoretical framework of so-called discrete-state Markov models (DMMs), whereby activation is conceptualized as a series of transitions across a discrete set of states. Historically, the interpretation of DMM transition rates in terms of transition state theory has been instrumental in shaping our view of the activation process, whose free-energy profile is currently envisioned as composed of a few local minima separated by steep barriers. Here we use atomistic level modeling and well-tempered metadynamics to calculate the configurational free energy along a single transition from first principles. We show that this transition is intrinsically multidimensional and described by a rough free-energy landscape. Remarkably, a coarse-grained description of the system, based on the use of the gating charge as reaction coordinate, reveals a smooth profile with a single barrier, consistent with phenomenological models. Our results bridge the gap between microscopic and macroscopic descriptions of activation dynamics and show that choosing the gating charge as reaction coordinate masks the topological complexity of the network of microstates participating in the transition. Importantly, full characterization of the latter is a prerequisite to rationalize modulation of this process by lipids, toxins, drugs, and genetic mutations.
电压传感器结构域(VSDs)是赋予膜蛋白电压敏感性的膜结合蛋白模块。VSDs感知跨膜电压的变化,并将电信号转化为一种称为激活的构象变化。激活涉及膜蛋白电荷的重新排列,实验中可检测为瞬态电流。这些所谓的门控电流已在所谓的离散状态马尔可夫模型(DMMs)的理论框架内得到广泛研究,据此激活被概念化为一系列跨越离散状态集的转变。从历史上看,根据过渡态理论对DMM转变速率的解释有助于塑造我们对激活过程的看法,其自由能分布目前被设想为由几个由陡峭势垒分隔的局部最小值组成。在这里,我们使用原子水平建模和加权元动力学从第一原理计算沿单个转变的构型自由能。我们表明,这种转变本质上是多维的,由粗糙的自由能景观描述。值得注意的是,基于将门控电荷用作反应坐标对系统进行的粗粒度描述揭示了具有单个势垒的平滑分布,这与唯象模型一致。我们的结果弥合了激活动力学微观和宏观描述之间的差距,并表明选择门控电荷作为反应坐标掩盖了参与转变的微观状态网络的拓扑复杂性。重要的是,对后者的全面表征是合理化脂质、毒素、药物和基因突变对这一过程的调节的先决条件。