Ion Channel Reaction Networks: Dielectric Screening and the Importance of Off-Pathway Flux.

IF 5.5 1区 化学 Q2 CHEMISTRY, PHYSICAL Journal of Chemical Theory and Computation Pub Date : 2025-04-08 Epub Date: 2025-03-18 DOI:10.1021/acs.jctc.4c01569
Hannah Weckel-Dahman, Ryan Carlsen, Alexander Daum, Maxwell He, Tyler G Southam, Jessica M J Swanson
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Abstract

The transport of ions through channels involves multiple rare-event transitions through a web of interconnected intermediates. Extracting open channel mechanisms generally requires quantifying the relative flux through these intermediates in response to a range of electrochemical gradients. Although this is ideally suited to network-based representations like Markov state models (MSMs), the relative contributions from different pathways and the importance of network resolution remain open areas of research. Herein, we use a complementary approach called multiscale responsive kinetic modeling (MsRKM) to explore how the screening of ionic interactions and the competition between multiple mechanistic pathways contribute to channel mechanisms and current profiles of ion channels. We find that explicitly optimizing screened ionic interactions in the MsRKM framework vastly reduces the solution search space, enabling more efficient identification of physically robust solutions. Using a model of the Shaker Kv channel, we demonstrate that even when systems are well described by a single dominant flux pathway, the remaining contributing pathways and off-pathway flux play multiple essential roles, including shifting current profiles and mechanisms in response to different electrochemical gradients. We additionally discover that the current continues to change above the experimentally predicted saturation point. Model systems explain how the degree of dielectric screening influences channel occupancy, the number of contributing pathways, and why current increases or decreases above its experimental saturation point. Our findings emphasize the importance of retaining a full network description to identify and understand ion channel mechanisms.

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离子通道反应网络:介质筛选和通路外通量的重要性。
离子通过通道的传输涉及通过相互连接的中间体网络的多个罕见事件跃迁。提取开放通道机制通常需要量化通过这些中间体的相对通量,以响应一系列电化学梯度。尽管这非常适合基于网络的表示,如马尔可夫状态模型(msm),但不同途径的相对贡献和网络分辨率的重要性仍然是研究的开放领域。在此,我们使用一种称为多尺度响应动力学建模(MsRKM)的互补方法来探索离子相互作用的筛选和多种机制途径之间的竞争如何有助于离子通道机制和离子通道的电流分布。我们发现,在MsRKM框架中明确优化筛选的离子相互作用大大减少了溶液搜索空间,从而能够更有效地识别物理健壮的溶液。利用激振器Kv通道模型,我们证明了即使系统被单一的主导通量路径很好地描述,剩余的贡献路径和非通路通量也发挥了多种重要作用,包括改变电流分布和响应不同电化学梯度的机制。我们还发现,电流在实验预测的饱和点以上继续变化。模型系统解释了介电屏蔽的程度如何影响通道占用,贡献通道的数量,以及为什么电流在实验饱和点以上增加或减少。我们的研究结果强调了保留完整的网络描述对识别和理解离子通道机制的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Chemical Theory and Computation
Journal of Chemical Theory and Computation 化学-物理:原子、分子和化学物理
CiteScore
9.90
自引率
16.40%
发文量
568
审稿时长
1 months
期刊介绍: The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.
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