10-203 Donadeo Innovation Centre for Engineering, Department of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada.
Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada.
Int J Mol Sci. 2021 May 11;22(10):5061. doi: 10.3390/ijms22105061.
The statistical mechanics-based 3-dimensional reference interaction site model with the Kovalenko-Hirata closure (3D-RISM-KH) molecular solvation theory has proven to be an essential part of a multiscale modeling framework, covering a vast region of molecular simulation techniques. The successful application ranges from the small molecule solvation energy to the bulk phase behavior of polymers, macromolecules, etc. The 3D-RISM-KH successfully predicts and explains the molecular mechanisms of self-assembly and aggregation of proteins and peptides related to neurodegeneration, protein-ligand binding, and structure-function related solvation properties. Upon coupling the 3D-RISM-KH theory with a novel multiple time-step molecular dynamic (MD) of the solute biomolecule stabilized by the optimized isokinetic Nosé-Hoover chain thermostat driven by effective solvation forces obtained from 3D-RISM-KH and extrapolated forward by generalized solvation force extrapolation (GSFE), gigantic outer time-steps up to picoseconds to accurately calculate equilibrium properties were obtained in this new quasidynamics protocol. The multiscale OIN/GSFE/3D-RISM-KH algorithm was implemented in the Amber package and well documented for fully flexible model of alanine dipeptide, miniprotein 1L2Y, and protein G in aqueous solution, with a solvent sampling rate ~150 times faster than a standard MD simulation in explicit water. Further acceleration in computation can be achieved by modifying the extent of solvation layers considered in the calculation, as well as by modifying existing closure relations. This enhanced simulation technique has proven applications in protein-ligand binding energy calculations, ligand/solvent binding site prediction, molecular solvation energy calculations, etc. Applications of the RISM-KH theory in molecular simulation are discussed in this work.
基于统计力学的三维参考相互作用-site 模型与 Kovalenko-Hirata 封闭(3D-RISM-KH)分子溶剂化理论已被证明是多尺度建模框架的重要组成部分,涵盖了广泛的分子模拟技术领域。该理论的成功应用范围从小分子溶剂化能到聚合物、大分子等的体相行为。3D-RISM-KH 成功地预测和解释了与神经退行性疾病相关的蛋白质和肽的自组装和聚集、蛋白质-配体结合以及与结构-功能相关的溶剂化性质的分子机制。通过将 3D-RISM-KH 理论与一种新的多时间步长分子动力学(MD)相结合,该 MD 是通过优化的等动 Nosé-Hoover 链恒温器来稳定溶质生物分子的,恒温器由从 3D-RISM-KH 获得的有效溶剂化力驱动,并通过广义溶剂化力外推(GSFE)向前外推,在外时间步长达皮秒的情况下,可以获得巨大的外时间步长,以准确计算平衡性质。这种新的准动力学方案在 Amber 包中实现了多尺度 OIN/GSFE/3D-RISM-KH 算法,并对完全柔性的丙氨酸二肽、1L2Y 小蛋白和水溶液中的蛋白 G 进行了详细记录,溶剂采样率比标准 MD 模拟快 150 倍。通过修改计算中考虑的溶剂化层的程度以及修改现有的封闭关系,可以进一步加速计算。这种增强的模拟技术已被证明在蛋白质-配体结合能计算、配体/溶剂结合位点预测、分子溶剂化能计算等方面有应用。本文讨论了 RISM-KH 理论在分子模拟中的应用。