Simone Aureli*, Valerio Rizzi, Nicola Piasentin and Francesco Luigi Gervasio*,
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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.
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Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere.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.