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协同水合自由能估计的协同水合自由能的炼金术转化。

Alchemical transformations for concerted hydration free energy estimation with explicit solvation.

机构信息

Department of Chemistry, Brooklyn College of the City University of New York, New York, New York 11210, USA.

出版信息

J Chem Phys. 2021 Feb 7;154(5):054103. doi: 10.1063/5.0036944.

Abstract

We present a family of alchemical perturbation potentials that enable the calculation of hydration free energies of small- to medium-sized molecules in a single concerted alchemical coupling step instead of the commonly used sequence of two distinct coupling steps for Lennard-Jones and electrostatic interactions. The perturbation potentials we employ are non-linear functions of the solute-solvent interaction energy designed to focus sampling near entropic bottlenecks along the alchemical pathway. We present a general framework to optimize the parameters of alchemical perturbation potentials of this kind. The optimization procedure is based on the λ-function formalism and the maximum-likelihood parameter estimation procedure we developed earlier to avoid the occurrence of multi-modal distributions of the coupling energy along the alchemical path. A novel soft-core function applied to the overall solute-solvent interaction energy rather than individual interatomic pair potentials critical for this result is also presented. Because it does not require modifications of core force and energy routines, the soft-core formulation can be easily deployed in molecular dynamics simulation codes. We illustrate the method by applying it to the estimation of the hydration free energy in water droplets of compounds of varying size and complexity. In each case, we show that convergence of the hydration free energy is achieved rapidly. This work paves the way for the ongoing development of more streamlined algorithms to estimate free energies of molecular binding with explicit solvation.

摘要

我们提出了一类化学渗透势,可在单个协同化学耦合步骤中计算小分子和中等大小分子的水合自由能,而不是通常使用的 Lennard-Jones 和静电相互作用的两个不同耦合步骤的序列。我们使用的渗透势是非线性的溶剂相互作用能函数,旨在沿化学途径聚焦于熵瓶颈附近的采样。我们提出了一种优化此类化学渗透势参数的通用框架。优化过程基于我们之前开发的 λ 函数形式和最大似然参数估计过程,以避免沿化学途径发生耦合能的多模态分布。还提出了一种新的软核函数,应用于整个溶剂相互作用能,而不是对于这个结果至关重要的各个原子对势。由于它不需要修改核心力和能量例程,因此软核公式可以很容易地部署在分子动力学模拟代码中。我们通过将其应用于不同大小和复杂程度的化合物水滴中的水合自由能估计来说明该方法。在每种情况下,我们都表明水合自由能的收敛速度很快。这项工作为正在开发的更精简的算法铺平了道路,这些算法可以估算具有显式溶剂化的分子结合的自由能。

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