Department of Chemistry, Johns Hopkins University, Baltimore, Maryland 21218, United States.
Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.
J Chem Theory Comput. 2022 Aug 9;18(8):4649-4659. doi: 10.1021/acs.jctc.2c00498. Epub 2022 Jul 13.
Long-time dynamical processes, such as those involving protein unfolding and ligand interactions, can be accelerated and realized through steered molecular dynamics (SMD). The challenge has been the extraction of information from such simulations that generalize for complex nonequilibrium processes. The use of Jarzynski's equality opened the possibility of determining the free energy along the steered coordinate, but sampling over the nonequilibrium trajectories is slow to converge. Adaptive steered molecular dynamics (ASMD) and other related techniques have been introduced to overcome this challenge through the use of stages. Here, we take advantage of these stages to address the numerical cost that arises from the required use of very large solvent boxes. We introduce telescoping box schemes within adaptive steered molecular dynamics (ASMD) in which we adjust the solvent box between stages and thereby vary (and optimize) the required number of solvent molecules. We have benchmarked the method on a relatively long α-helical peptide, Ala, with respect to the potential of mean force and hydrogen bonds. We show that the use of telescoping boxes introduces little numerical error while significantly reducing the computational cost.
长时间的动力学过程,如涉及蛋白质展开和配体相互作用的过程,可以通过定向分子动力学(SMD)来加速和实现。挑战在于从这些模拟中提取信息,以推广到复杂的非平衡过程。使用 Jarzynski 等式为确定沿着导向坐标的自由能提供了可能性,但非平衡轨迹的采样收敛速度较慢。自适应导向分子动力学(ASMD)和其他相关技术已被引入,通过使用阶段来克服这一挑战。在这里,我们利用这些阶段来解决由于需要使用非常大的溶剂盒而产生的数值成本。我们在自适应导向分子动力学(ASMD)中引入了伸缩盒方案,在该方案中,我们在阶段之间调整溶剂盒,从而改变(并优化)所需的溶剂分子数量。我们已经针对相对较长的α-螺旋肽 Ala 进行了方法基准测试,涉及平均力势能和氢键。我们表明,伸缩盒的使用几乎不会引入数值误差,同时显著降低了计算成本。