Abstract

Parallel cascade selection molecular dynamics (PaCS-MD) is a rare-event sampling method that generates transition pathways between a reactant and product. To sample the transition pathways, PaCS-MD repeats short-time MD simulations from important configurations as conformational resampling cycles. In this study, PaCS-MD was extended to sample ligand binding pathways toward a target protein, which is referred to as LB-PaCS-MD. In a ligand-concentrated environment, where multiple ligand copies are randomly arranged around the target protein, LB-PaCS-MD allows for the frequent sampling of ligand binding pathways. To select the important configurations, we specified the center of mass (COM) distance between each ligand and the relevant binding site of the target protein, where snapshots generated by the short-time MD simulations were ranked by their COM distance values. From each cycle, snapshots with smaller COM distance values were selected as the important configurations to be resampled using the short-time MD simulations. By repeating conformational resampling cycles, the COM distance values gradually decreased and converged to constants, meaning that a set of ligand binding pathways toward the target protein was sampled by LB-PaCS-MD. To demonstrate relative efficiency, LB-PaCS-MD was applied to several proteins, and their ligand binding pathways were sampled more frequently than conventional MD simulations.

Highlights

  • Received: 22 December 2021Self-assembly/organization is a fundamental phenomenon in which well-designed molecules spontaneously gather to form unique structures

  • Starting from the reactant, three LB-Parallel cascade selection molecular dynamics (PaCS-molecular dynamics (MD)) trials independently sampled a set of ligand binding processes toward the binding site (M102) of T4 lysozyme (T4L)

  • One may consider the convergence of the distribution evaluated from LB-PaCS-MD

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Summary

Introduction

Self-assembly/organization is a fundamental phenomenon in which well-designed molecules spontaneously gather to form unique structures. These processes are common in nature and are strongly related to molecular recognition, transfer, reaction, and catalysis [1,2,3,4]. A thermodynamically stable complex is selected from possible ligand–protein configurations. Owing to their complex interactions, the molecular mechanisms of ligand binding processes remain unclear. For this reason, theoretical and computational studies are required to address ligand binding processes at an atomic resolution.

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