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Implicit Solvation ParametersDerived from ExplicitWater Forces in Large-Scale Molecular Dynamics Simulations

机译:隐式溶剂化参数从显式派生大规模分子动力学模拟中的水力

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摘要

Implicit solvation is a mean force approach to model solvent forces acting on a solute molecule. It is frequently used in molecular simulations to reduce the computational cost of solvent treatment. In the first instance, the free energy of solvation and the associated solvent–solute forces can be approximated by a function of the solvent-accessible surface area (SASA) of the solute and differentiated by an atom–specific solvation parameter σiSASA. A procedure for the determination of values for the σiSASA parameters through matching of explicit and implicit solvation forces is proposed. Using the results of Molecular Dynamics simulations of 188 topologically diverse protein structures in water and in implicit solvent, values for the σiSASA parameters for atom types i of the standard amino acids in the GROMOS force field have been determined. A simplified representation based on groups of atom types σgSASA was obtained via partitioning of the atom–type σiSASA distributions by dynamic programming.Three groups of atom types with well separated parameter ranges wereobtained, and their performance in implicit versus explicit simulationswas assessed. The solvent forces are available at .
机译:隐式溶剂化是模拟作用在溶质分子上的溶剂作用力的平均作用力方法。它通常用于分子模拟中,以减少溶剂处理的计算成本。在第一种情况下,溶剂化的自由能和相关的溶剂-溶质力可以通过溶质的溶剂可及表面积(SASA)的函数来近似,并可以通过特定于原子的溶剂化参数σi SASA来区分。提出了通过显式和隐式溶剂化力的匹配确定σi SASA 参数值的方法。利用分子动力学模拟结果,对水和隐性溶剂中188种拓扑结构多样的蛋白质结构进行了测定,确定了GROMOS力场中标准氨基酸的i型原子的σi SASA 参数的值。通过动态编程对原子类型σi SASA 分布进行分区,获得了基于原子类型σg SASA 的组的简化表示。三组原子类型具有良好分离的参数范围获得的结果及其在隐式和显式仿真中的性能被评估。可在以下位置获得溶剂力。

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