Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), 2-4-7 Aomi, Koto-ku, Tokyo 135-0064, Japan.
J Chem Inf Model. 2023 Jun 12;63(11):3369-3376. doi: 10.1021/acs.jcim.2c01529. Epub 2023 May 15.
Steered molecular dynamics (SMD) simulations are used to study molecular dissociation events by applying a harmonic force to the molecules and pulling them at a constant velocity. Instead of constant-velocity pulling, we use a constant force: the constant-force SMD (CF-SMD) simulation. The CF-SMD simulation employs a constant force to reduce the activation barrier of molecular dissociation, thereby enhancing the dissociation event. Here, we present the capability of the CF-SMD simulation to estimate the dissociation time at equilibrium. We performed all-atom CF-SMD simulations for NaCl and protein-ligand systems, producing dissociation time at various forces. We extrapolated these values to the dissociation rate without a constant force using Bell's model or the Dudko-Hummer-Szabo model. We demonstrate that the CF-SMD simulations with the models predicted the dissociation time in equilibrium. A CF-SMD simulation is a powerful tool for estimating the dissociation rate in a direct and computationally efficient manner.
导向分子动力学(SMD)模拟通过对分子施加谐合力并以恒定速度将其拉开,从而研究分子离解事件。我们使用恒力而不是恒速拉伸:恒力 SMD(CF-SMD)模拟。CF-SMD 模拟采用恒力降低分子离解的活化能垒,从而增强离解事件。在这里,我们展示了 CF-SMD 模拟估计平衡解离时间的能力。我们对 NaCl 和蛋白配体系统进行了全原子 CF-SMD 模拟,在各种力下产生了解离时间。我们使用 Bell 模型或 Dudko-Hummer-Szabo 模型将这些值外推到没有恒力的解离速率。我们证明,使用模型的 CF-SMD 模拟预测了平衡时的解离时间。CF-SMD 模拟是一种直接且计算效率高的估计解离速率的强大工具。