Evidence map›Paper›PMID 30808938›Full record

ArticleScientific reports2019

The UWHAM and SWHAM Software Package.

Bin W Zhang, Shima Arasteh, Ronald M Levy

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In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Solvation Thermodynamics from the Perspective of Endpoints DFT.The journal of physical chemistry. B · 2020
    Review
  3. Article
  4. Article
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Bin W ZhangCenter for Biophysics and Computational Biology, Department of Chemistry and Institute for Computational Molecular Science, Temple University, Philadelphia, Pennsylvania, 19122, United States. bin.w.zhang@temple.edu.ORCID 0000-0003-3007-4900
Shima ArastehCenter for Biophysics and Computational Biology, Department of Chemistry and Institute for Computational Molecular Science, Temple University, Philadelphia, Pennsylvania, 19122, United States.
Ronald M LevyCenter for Biophysics and Computational Biology, Department of Chemistry and Institute for Computational Molecular Science, Temple University, Philadelphia, Pennsylvania, 19122, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We introduce the UWHAM (binless weighted histogram analysis method) and SWHAM (stochastic UWHAM) software package that can be used to estimate the density of states and free energy differences based on the data generated by multi-state simulations. The programs used to solve the UWHAM equations are written in the C++ language and operated via the command line interface. In this paper, first we review the theoretical bases of UWHAM, its stochastic solver RE-SWHAM (replica exchange-like SWHAM)and ST-SWHAM (serial tempering-like SWHAM). Then we provide a tutorial with examples that explains how to apply the UWHAM program package to analyze the data generated by different types of multi-state simulations: umbrella sampling, replica exchange, free energy perturbation simulations, etc. The tutorial examples also show that the UWHAM equations can be solved stochastically by applying the RE-SWHAM and ST-SWHAM programs when the data ensemble is large. If the simulations at some states are far from equilibrium, the Stratified RE-SWHAM program can be applied to obtain the equilibrium distribution of the state of interest. All the source codes and the tutorial examples are available from our group's web page: https://ronlevygroup.cst.temple.edu/software/UWHAM_and_SWHAM_webpage/index.html .

Indexed as

Models, MolecularSoftwareAlgorithmsStochastic ProcessesThermodynamics

Identifiers

PMID30808938
PMCPMC6391495

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