Department of Chemistry, University of California San Diego, La Jolla 92093, California, United States.
Department of Pharmacology, University of California San Diego, La Jolla 92093, California, United States.
J Chem Theory Comput. 2021 Dec 14;17(12):7938-7951. doi: 10.1021/acs.jctc.1c00770. Epub 2021 Nov 30.
Gaussian-accelerated molecular dynamics (GaMD) is a well-established enhanced sampling method for molecular dynamics simulations that effectively samples the potential energy landscape of the system by adding a boost potential, which smoothens the surface and lowers the energy barriers between states. GaMD is unable to give time-dependent properties such as kinetics directly. On the other hand, the weighted ensemble (WE) method can efficiently sample transitions between states with its many weighted trajectories, which directly yield rates and pathways. However, convergence to equilibrium conditions remains a challenge for the WE method. Hence, we have developed a hybrid method that combines the two methods, wherein GaMD is first used to sample the potential energy landscape of the system and WE is subsequently used to further sample the potential energy landscape and kinetic properties of interest. We show that the hybrid method can sample both thermodynamic and kinetic properties more accurately and quickly compared to using either method alone.
高斯加速分子动力学(GaMD)是一种成熟的分子动力学模拟增强采样方法,通过添加提升势有效地对系统的势能面进行采样,从而平滑表面并降低状态之间的能量障碍。GaMD 无法直接给出时间相关的性质,如动力学性质。另一方面,加权系综(WE)方法可以通过其许多加权轨迹有效地对状态之间的跃迁进行采样,这直接给出了速率和途径。然而,对于 WE 方法来说,达到平衡条件仍然是一个挑战。因此,我们开发了一种混合方法,将这两种方法结合在一起,其中首先使用 GaMD 对系统的势能面进行采样,然后使用 WE 进一步对感兴趣的势能面和动力学性质进行采样。我们表明,与单独使用任何一种方法相比,混合方法可以更准确和快速地采样热力学和动力学性质。