论文标题

具有明确溶剂化的协同水合自由能估计的炼金术转化

Alchemical Transformations for Concerted Hydration Free Energy Estimation with Explicit Solvation

论文作者

Khuttan, Sheenam, Azimi, Solmaz, Wu, Joe Z., Gallicchio, Emilio

论文摘要

我们提出了一个炼金术扰动势的家族,该家族能够在一个协同的单一炼金术偶联步骤中计算中小型分子的水合自由能,而不是列诺纳德琼斯和静电相互作用的两个不同耦合步骤的常用序列。扰动势基于溶质 - 溶剂相互作用能的软函数,旨在将采样聚焦在沿炼金术途径的熵瓶颈附近。我们提出了一个一般框架,以优化此类炼金术扰动势的参数。优化过程基于$λ$ - 功能形式主义和我们先前开发的最大样本参数估计过程,以避免沿炼金术路径偶联能量的多模式分布。还介绍了一种新型的软核功能,该功能还应用于整体溶质 - 溶剂相互作用能量,而不是单个的原子体对势对此结果至关重要。由于它不需要修改核心力和能量例程,因此可以轻松地将软核配方部署到分子动力学仿真代码中。我们通过将其应用于具有不同大小和复杂性的化合物的水滴中的水合液滴中的估计来说明该方法。在每种情况下,我们都表明水合自由能的收敛迅速。这项工作为正在进行的流线型算法开发铺平了道路,以估计分子结合使用显式溶剂化的自由能。

We present a family of alchemical perturbation potentials that enable the calculation of hydration free energies of small to medium-sized molecules in a concerted single alchemical coupling step instead of the commonly used sequence of two distinct coupling steps for Lennard-Jones and electrostatic interactions. The perturbation potentials are based on the softplus function 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.

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