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基于吉布斯采样器的λ动力学和用于炼金术自由能计算的 Rao-Blackwell 估计器

Gibbs Sampler-Based λ-Dynamics and Rao-Blackwell Estimator for Alchemical Free Energy Calculation.

作者信息

Ding Xinqiang, Vilseck Jonah Z, Hayes Ryan L, Brooks Charles L

机构信息

Department of Computational Medicine & Bioinformatics, ‡Department of Chemistry, §Biophysics Program, University of Michigan , Ann Arbor, Michigan 48109, United States.

出版信息

J Chem Theory Comput. 2017 Jun 13;13(6):2501-2510. doi: 10.1021/acs.jctc.7b00204. Epub 2017 May 26.

Abstract

λ-dynamics is a generalized ensemble method for alchemical free energy calculations. In traditional λ-dynamics, the alchemical switch variable λ is treated as a continuous variable ranging from 0 to 1 and an empirical estimator is utilized to approximate the free energy. In the present article, we describe an alternative formulation of λ-dynamics that utilizes the Gibbs sampler framework, which we call Gibbs sampler-based λ-dynamics (GSLD). GSLD, like traditional λ-dynamics, can be readily extended to calculate free energy differences between multiple ligands in one simulation. We also introduce a new free energy estimator, the Rao-Blackwell estimator (RBE), for use in conjunction with GSLD. Compared with the current empirical estimator, the advantage of RBE is that RBE is an unbiased estimator and its variance is usually smaller than the current empirical estimator. We also show that the multistate Bennett acceptance ratio equation or the unbinned weighted histogram analysis method equation can be derived using the RBE. We illustrate the use and performance of this new free energy computational framework by application to a simple harmonic system as well as relevant calculations of small molecule relative free energies of solvation and binding to a protein receptor. Our findings demonstrate consistent and improved performance compared with conventional alchemical free energy methods.

摘要

λ动力学是一种用于炼金术自由能计算的广义系综方法。在传统的λ动力学中,炼金术开关变量λ被视为一个从0到1的连续变量,并使用经验估计器来近似自由能。在本文中,我们描述了λ动力学的另一种形式,它利用吉布斯采样器框架,我们称之为基于吉布斯采样器的λ动力学(GSLD)。与传统的λ动力学一样,GSLD可以很容易地扩展到在一次模拟中计算多个配体之间的自由能差异。我们还引入了一种新的自由能估计器,即拉奥-布莱克韦尔估计器(RBE),用于与GSLD结合使用。与当前的经验估计器相比,RBE的优点是它是一个无偏估计器,并且其方差通常小于当前的经验估计器。我们还表明,可以使用RBE推导出多态贝内特接受率方程或无箱加权直方图分析方法方程。我们通过将其应用于一个简单的谐振系统以及小分子溶剂化和与蛋白质受体结合的相对自由能的相关计算,来说明这个新的自由能计算框架的使用和性能。我们的研究结果表明,与传统的炼金术自由能方法相比,其性能具有一致性且有所提高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ce6/5828534/12ce645d49e4/nihms943059f1.jpg

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