增强采样和定制的集体变量产生β -1肾上腺素能受体激活的可重复自由能景观。

IF 5.5 1区 化学 Q2 CHEMISTRY, PHYSICAL
Simone Aureli*, Valerio Rizzi, Nicola Piasentin and Francesco Luigi Gervasio*, 
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引用次数: 0

摘要

β -1肾上腺素能受体(ADRB1)是心血管药物的关键靶点,但我们对其如何被激活的理解仍然不完整。捕获激动剂、溶剂、离子和蛋白质微开关的协同相互作用是传统模拟方法的重大挑战,对于揭示这一过程至关重要。在这里,我们通过实现一个强大的增强型采样框架来解决这一挑战,该框架将OneOPES增强型采样算法与一组生物动机集体变量(CVs)集成在一起。这些CVs旨在同时跟踪激活过程的几个关键特征,包括保守微开关的重排、钠离子结合袋的状态和关键水分子的动力学。使用这个框架,我们绘制了ADRB1受体在载脂蛋白和肾上腺素结合的整体状态下的多维自由能景观。我们的分析揭示了一个详细的、逐步的激活途径,量化了钠离子和质子化状态的已知调节作用,并确定了稳定活性构象的基本水介导网络。这项工作提供了ADRB1激活的详细概述,并建立了我们的OneOPES方法的稳健性,用于研究复杂的激活机制,并具有应用于其他a类gpcr的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhanced Sampling and Tailored Collective Variables Yield Reproducible Free Energy Landscapes of Beta-1 Adrenergic Receptor Activation

The beta-1 adrenergic receptor (ADRB1) is a critical target for cardiovascular drugs, yet our understanding of how it is activated remains incomplete. Capturing the concerted interplay of agonists, solvent, ions, and protein microswitches is a significant challenge for conventional simulation methods and is essential for unraveling this process. Here, we address this challenge by implementing a powerful enhanced sampling framework that integrates the OneOPES enhanced sampling algorithm with a set of biologically motivated collective variables (CVs). These CVs are designed to track several key features of the activation process simultaneously, including rearrangement of conserved microswitches, the state of the sodium ion binding pocket, and dynamics of critical water molecules. Using this framework, we mapped the multidimensional free energy landscapes of the ADRB1 receptor in both its apo- and adrenaline-bound holo states. Our analysis reveals a detailed, stepwise activation pathway that quantifies the known modulatory roles of sodium ions and protonation states and identifies essential water-mediated networks that stabilize the active conformation. This work provides a detailed overview of ADRB1 activation and establishes the robustness of our OneOPES approach for investigating complex activation mechanisms with the potential for application to other Class A GPCRs.

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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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