Literature DB >> 26588735

Simple Quantitative Tests to Validate Sampling from Thermodynamic Ensembles.

Michael R Shirts1.   

Abstract

It is often difficult to quantitatively determine if a new molecular simulation algorithm or software properly implements sampling of the desired thermodynamic ensemble. We present some simple statistical analysis procedures to allow sensitive determination of whether the desired thermodynamic ensemble is properly sampled. These procedures use paired simulations to cancel out system dependent densities of state and directly test the extent to which the Boltzmann distribution associated with the ensemble (usually canonical, isobaric-isothermal, or grand canonical) is satisfied. We demonstrate the utility of these tests for model systems and for molecular dynamics simulations in a range of situations and describe an implementation of the tests designed for end users.

Year:  2013        PMID: 26588735     DOI: 10.1021/ct300688p

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  14 in total

1.  The SAMPL6 SAMPLing challenge: assessing the reliability and efficiency of binding free energy calculations.

Authors:  Andrea Rizzi; Travis Jensen; David R Slochower; Matteo Aldeghi; Vytautas Gapsys; Dimitris Ntekoumes; Stefano Bosisio; Michail Papadourakis; Niel M Henriksen; Bert L de Groot; Zoe Cournia; Alex Dickson; Julien Michel; Michael K Gilson; Michael R Shirts; David L Mobley; John D Chodera
Journal:  J Comput Aided Mol Des       Date:  2020-01-27       Impact factor: 3.686

2.  Molecular assembly of lethal factor enzyme and pre-pore heptameric protective antigen in early stage of translocation.

Authors:  Laleh Alisaraie; Isabelle Rouiller
Journal:  J Mol Model       Date:  2015-12-11       Impact factor: 1.810

3.  Estimating yield-strain via deformation-recovery simulations.

Authors:  Paul N Patrone; Samuel Tucker; Andrew Dienstfrey
Journal:  Polymer (Guildf)       Date:  2017       Impact factor: 4.430

4.  Comparison of structural, thermodynamic, kinetic and mass transport properties of Mg(2+) ion models commonly used in biomolecular simulations.

Authors:  Maria T Panteva; George M Giambaşu; Darrin M York
Journal:  J Comput Chem       Date:  2015-03-04       Impact factor: 3.376

5.  Molecular dynamics simulations of dihydro-β-erythroidine bound to the human α4β2 nicotinic acetylcholine receptor.

Authors:  Rilei Yu; Han-Shen Tae; Qingliang Xu; David J Craik; David J Adams; Tao Jiang; Quentin Kaas
Journal:  Br J Pharmacol       Date:  2019-06-07       Impact factor: 8.739

6.  Computational Tools for Accurate Binding Free-Energy Prediction.

Authors:  Maria M Reif; Martin Zacharias
Journal:  Methods Mol Biol       Date:  2022

7.  Molecular dynamics simulations using the drude polarizable force field on GPUs with OpenMM: Implementation, validation, and benchmarks.

Authors:  Jing Huang; Justin A Lemkul; Peter K Eastman; Alexander D MacKerell
Journal:  J Comput Chem       Date:  2018-05-04       Impact factor: 3.376

8.  Hamiltonian Monte Carlo with Constrained Molecular Dynamics as Gibbs Sampling.

Authors:  Laurentiu Spiridon; David D L Minh
Journal:  J Chem Theory Comput       Date:  2017-09-27       Impact factor: 6.006

9.  Generalizing the Discrete Gibbs Sampler-Based λ-Dynamics Approach for Multisite Sampling of Many Ligands.

Authors:  Jonah Z Vilseck; Xinqiang Ding; Ryan L Hayes; Charles L Brooks
Journal:  J Chem Theory Comput       Date:  2021-06-08       Impact factor: 6.006

10.  Equilibrium molecular thermodynamics from Kirkwood sampling.

Authors:  Sandeep Somani; Yuko Okamoto; Andrew J Ballard; David J Wales
Journal:  J Phys Chem B       Date:  2015-05-12       Impact factor: 2.991

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