Aida Hayato, Shigeta Yasuteru, Harada Ryuhei
Graduate School of Science and Technology, University of Tsukuba, 1-1-1 Tennodai, Tsukuba 305-8577, Japan.
Center for Computational Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba 305-8577, Japan.
Materials (Basel). 2022 Feb 17;15(4):1490. doi: 10.3390/ma15041490.
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.
平行级联选择分子动力学(PaCS-MD)是一种罕见事件采样方法,用于生成反应物和产物之间的过渡路径。为了对过渡路径进行采样,PaCS-MD将来自重要构型的短时间分子动力学模拟作为构象重采样循环重复进行。在本研究中,PaCS-MD被扩展用于对靶向目标蛋白的配体结合路径进行采样,这被称为LB-PaCS-MD。在配体浓缩环境中,多个配体拷贝随机排列在目标蛋白周围,LB-PaCS-MD允许频繁采样配体结合路径。为了选择重要构型,我们指定了每个配体与目标蛋白相关结合位点之间的质心(COM)距离,通过短时间分子动力学模拟生成的快照按其COM距离值进行排序。从每个循环中,选择COM距离值较小的快照作为重要构型,使用短时间分子动力学模拟进行重采样。通过重复构象重采样循环,COM距离值逐渐减小并收敛到常数,这意味着LB-PaCS-MD对一组靶向目标蛋白的配体结合路径进行了采样。为了证明相对效率,将LB-PaCS-MD应用于几种蛋白质,其配体结合路径的采样频率比传统分子动力学模拟更高。