Department of Chemistry, Chicago Center for Theoretical Chemistry, James Frank Institute, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, Illinois 60637, United States.
Department of Chemistry, Biological Chemistry Program, and Center for Cell and Genome Science, The University of Utah, Salt Lake City, Utah 84112, United States.
J Phys Chem B. 2021 Jul 29;125(29):7975-7984. doi: 10.1021/acs.jpcb.1c03304. Epub 2021 Jul 14.
Canonical descriptions of multistep biomolecular transformations generally follow a single-pathway viewpoint, with a series of transitions through intermediates converting reactants to products or repeating a conformational cycle. However, mounting evidence suggests that more complexity and pathway heterogeneity are mechanistically relevant due to the statistical distribution of multiple interconnected rate processes. Making sense of such pathway complexity remains a significant challenge. To better understand the role and relevance of pathway heterogeneity, we herein probe the chemical reaction network of a Cl/H antiporter, ClC-ec1, and analyze reaction pathways using multiscale kinetic modeling (MKM). This approach allows us to describe the nature of the competing pathways and how they change as a function of pH. We reveal that although pH-dependent Cl/H transport rates are largely regulated by the charge state of amino acid E148, the charge state of E203 determines relative contributions from coexisting pathways and can shift the flux pH-dependence. The selection of pathways via E203 explains how ionizable mutations (D/H/K/R) would impact the ClC-ec1 bioactivity from a kinetic perspective and lends further support to the indispensability of an internal glutamate in ClC antiporters. Our results demonstrate how quantifying the kinetic selection of competing pathways under varying conditions leads to a deeper understanding of the Cl/H exchange mechanism and can suggest new approaches for mechanistic control.
多步骤生物分子转化的规范描述通常遵循单一路径观点,通过一系列中间体的转变将反应物转化为产物或重复构象循环。然而,越来越多的证据表明,由于多个相互关联的速率过程的统计分布,更多的复杂性和途径异质性在机制上是相关的。理解这种途径复杂性仍然是一个重大挑战。为了更好地理解途径异质性的作用和相关性,我们在此探测 Cl/H 反向转运蛋白 ClC-ec1 的化学反应网络,并使用多尺度动力学建模 (MKM) 分析反应途径。这种方法使我们能够描述竞争途径的性质以及它们如何随 pH 值而变化。我们揭示了尽管 pH 依赖性 Cl/H 转运速率主要受氨基酸 E148 的电荷状态调节,但 E203 的电荷状态决定了共存途径的相对贡献,并可以改变通量 pH 依赖性。通过 E203 选择途径解释了可电离突变 (D/H/K/R) 如何从动力学角度影响 ClC-ec1 的生物活性,并进一步支持 ClC 反向转运蛋白中内谷氨酸的不可或缺性。我们的结果表明,如何在不同条件下量化竞争途径的动力学选择,有助于深入了解 Cl/H 交换机制,并为机制控制提出新的方法。