Literature DB >> 16164284

Phase-space overlap measures. II. Design and implementation of staging methods for free-energy calculations.

Di Wu1, David A Kofke.   

Abstract

We consider staged free-energy calculation methods in the context of phase-space overlap relations, and argue that the selection of work-based methods should be guided by consideration of the phase-space overlap of the systems of interest. Stages should always be constructed such that work is performed only into a system that has a phase-space subset relation with the starting system. Thus multiple stages are required if the systems of interest are not such that one forms a phase-space subset with the other. Three two-stage methods are possible, termed umbrella sampling, overlap sampling, and funnel sampling. The last is appropriate for cases in which the subset relation holds, but only in the extreme, meaning that one system's important phase space constitutes a very small portion of the others. Umbrella sampling is most suitable for nonoverlap systems, and overlap sampling is appropriate for systems exhibiting partial phase-space overlap. We review recently introduced metrics that characterize phase-space overlap, showing that the performance of the single- and two-stage methods is consistent with the phase-space picture. We also demonstrate that a recently introduced bias-detection measure is effective in identifying inaccuracy in single- and multistage calculations. The examples used are the chemical-potential calculation for a Lennard-Jones liquid at moderate and at high densities, the same for model water at ambient conditions, and a process of charging a neutral ion in water.

Entities:  

Year:  2005        PMID: 16164284     DOI: 10.1063/1.2011391

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  14 in total

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3.  Multivariable extrapolation of grand canonical free energy landscapes.

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Journal:  J Chem Phys       Date:  2017-12-21       Impact factor: 3.488

4.  Alchemical Binding Free Energy Calculations in AMBER20: Advances and Best Practices for Drug Discovery.

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Journal:  J Chem Inf Model       Date:  2020-09-16       Impact factor: 4.956

5.  Multi-level free energy simulation with a staged transformation approach.

Authors:  Shingo Ito; Qiang Cui
Journal:  J Chem Phys       Date:  2020-07-28       Impact factor: 3.488

6.  Stratified UWHAM and Its Stochastic Approximation for Multicanonical Simulations Which Are Far from Equilibrium.

Authors:  Bin W Zhang; Nanjie Deng; Zhiqiang Tan; Ronald M Levy
Journal:  J Chem Theory Comput       Date:  2017-09-28       Impact factor: 6.006

7.  Approaches for calculating solvation free energies and enthalpies demonstrated with an update of the FreeSolv database.

Authors:  Guilherme Duarte Ramos Matos; Daisy Y Kyu; Hannes H Loeffler; John D Chodera; Michael R Shirts; David L Mobley
Journal:  J Chem Eng Data       Date:  2017-04-24       Impact factor: 2.694

8.  Development of a Robust Indirect Approach for MM → QM Free Energy Calculations That Combines Force-Matched Reference Potential and Bennett's Acceptance Ratio Methods.

Authors:  Timothy J Giese; Darrin M York
Journal:  J Chem Theory Comput       Date:  2019-09-17       Impact factor: 6.006

9.  The Excess Chemical Potential of Water at the Interface with a Protein from End Point Simulations.

Authors:  Bin W Zhang; Di Cui; Nobuyuki Matubayasi; Ronald M Levy
Journal:  J Phys Chem B       Date:  2018-04-23       Impact factor: 2.991

10.  Predicting structural properties of fluids by thermodynamic extrapolation.

Authors:  Nathan A Mahynski; Sally Jiao; Harold W Hatch; Marco A Blanco; Vincent K Shen
Journal:  J Chem Phys       Date:  2018-05-21       Impact factor: 3.488

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