Department of Pharmaceutical Sciences, School of Pharmacy , University of Maryland , 20 Penn Street , Baltimore , Maryland 21201 , United States.
SilcsBio LLC , 8 Market Place , Suite 300, Baltimore , Maryland 21202 , United States.
J Chem Theory Comput. 2018 Oct 9;14(10):5290-5302. doi: 10.1021/acs.jctc.8b00604. Epub 2018 Sep 14.
Grand canonical Monte Carlo (GCMC) simulations of ionic solutions with explicit solvent models are known to be challenging. One challenge arises from the treatment of long-range electrostatics and finite-box size in Monte Carlo simulations when periodic boundary condition and Ewald summation methods are used. Another challenge is that constant excess chemical potential GCMC simulations for charged solutes suffer from inadequate insertion and deletion acceptance ratios. In this work, we address those problems by implementing an oscillating excess chemical potential GCMC algorithm with smooth particle mesh Ewald and finite-box-size corrections to treat the long-range electrostatics. The developed GCMC simulation program was combined with GROMACS to perform GCMC/MD simulations of ionic solutions individually containing Li, Na, K, Rb, Cs, F, Cl, Br, I, Ca, and Mg, respectively. Our simulation results show that the combined GCMC/MD approach can approximate the ionic hydration free energies with proper treatment of long-range electrostatics. Our developed simulation approach can open up new avenues for simulating complex chemical and biomolecular systems and for drug discovery.
用显式溶剂模型进行的离子溶液的巨正则蒙特卡罗(GCMC)模拟是具有挑战性的。当使用周期性边界条件和 Ewald 求和方法时,一个挑战来自于 Monte Carlo 模拟中长程静电和有限盒尺寸的处理。另一个挑战是,对于带电溶质的恒定过剩化学势 GCMC 模拟,插入和删除接受率不足。在这项工作中,我们通过实现一个带有平滑粒子网格 Ewald 和有限盒尺寸校正的振荡过剩化学势 GCMC 算法来解决这些问题,以处理长程静电。开发的 GCMC 模拟程序与 GROMACS 相结合,分别对含有 Li、Na、K、Rb、Cs、F、Cl、Br、I、Ca 和 Mg 的离子溶液进行 GCMC/MD 模拟。我们的模拟结果表明,通过适当处理长程静电,组合的 GCMC/MD 方法可以近似离子水合自由能。我们开发的模拟方法可以为模拟复杂的化学和生物分子系统以及药物发现开辟新的途径。