Literature DB >> 27787702

Lessons learned from comparing molecular dynamics engines on the SAMPL5 dataset.

Michael R Shirts1, Christoph Klein2, Jason M Swails3, Jian Yin4, Michael K Gilson4, David L Mobley5, David A Case3, Ellen D Zhong6.   

Abstract

We describe our efforts to prepare common starting structures and models for the SAMPL5 blind prediction challenge. We generated the starting input files and single configuration potential energies for the host-guest in the SAMPL5 blind prediction challenge for the GROMACS, AMBER, LAMMPS, DESMOND and CHARMM molecular simulation programs. All conversions were fully automated from the originally prepared AMBER input files using a combination of the ParmEd and InterMol conversion programs. We find that the energy calculations for all molecular dynamics engines for this molecular set agree to better than 0.1 % relative absolute energy for all energy components, and in most cases an order of magnitude better, when reasonable choices are made for different cutoff parameters. However, there are some surprising sources of statistically significant differences. Most importantly, different choices of Coulomb's constant between programs are one of the largest sources of discrepancies in energies. We discuss the measures required to get good agreement in the energies for equivalent starting configurations between the simulation programs, and the energy differences that occur when simulations are run with program-specific default simulation parameter values. Finally, we discuss what was required to automate this conversion and comparison.

Entities:  

Keywords:  Molecular dynamics; Molecular simulation; SAMPL5; Simulation validation

Mesh:

Substances:

Year:  2016        PMID: 27787702      PMCID: PMC5581938          DOI: 10.1007/s10822-016-9977-1

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  18 in total

1.  Using Multistate Reweighting to Rapidly and Efficiently Explore Molecular Simulation Parameters Space for Nonbonded Interactions.

Authors:  Himanshu Paliwal; Michael R Shirts
Journal:  J Chem Theory Comput       Date:  2013-10-17       Impact factor: 6.006

2.  GROMACS 4:  Algorithms for Highly Efficient, Load-Balanced, and Scalable Molecular Simulation.

Authors:  Berk Hess; Carsten Kutzner; David van der Spoel; Erik Lindahl
Journal:  J Chem Theory Comput       Date:  2008-03       Impact factor: 6.006

3.  Isotropic periodic sum: a method for the calculation of long-range interactions.

Authors:  Xiongwu Wu; Bernard R Brooks
Journal:  J Chem Phys       Date:  2005-01-22       Impact factor: 3.488

4.  Application of Ewald summations to long-range dispersion forces.

Authors:  Pieter J in't Veld; Ahmed E Ismail; Gary S Grest
Journal:  J Chem Phys       Date:  2007-10-14       Impact factor: 3.488

5.  A blind challenge for computational solvation free energies: introduction and overview.

Authors:  J Peter Guthrie
Journal:  J Phys Chem B       Date:  2009-04-09       Impact factor: 2.991

6.  Blind prediction of host-guest binding affinities: a new SAMPL3 challenge.

Authors:  Hari S Muddana; C Daniel Varnado; Christopher W Bielawski; Adam R Urbach; Lyle Isaacs; Matthew T Geballe; Michael K Gilson
Journal:  J Comput Aided Mol Des       Date:  2012-02-25       Impact factor: 3.686

7.  Molecular containers assembled through the hydrophobic effect.

Authors:  Jacobs H Jordan; Bruce C Gibb
Journal:  Chem Soc Rev       Date:  2015-01-21       Impact factor: 54.564

Review 8.  The SAMPL4 host-guest blind prediction challenge: an overview.

Authors:  Hari S Muddana; Andrew T Fenley; David L Mobley; Michael K Gilson
Journal:  J Comput Aided Mol Des       Date:  2014-03-06       Impact factor: 3.686

9.  Acyclic cucurbit[n]uril-type molecular containers: influence of aromatic walls on their function as solubilizing excipients for insoluble drugs.

Authors:  Ben Zhang; Lyle Isaacs
Journal:  J Med Chem       Date:  2014-11-17       Impact factor: 7.446

10.  CHARMM-GUI Input Generator for NAMD, GROMACS, AMBER, OpenMM, and CHARMM/OpenMM Simulations Using the CHARMM36 Additive Force Field.

Authors:  Jumin Lee; Xi Cheng; Jason M Swails; Min Sun Yeom; Peter K Eastman; Justin A Lemkul; Shuai Wei; Joshua Buckner; Jong Cheol Jeong; Yifei Qi; Sunhwan Jo; Vijay S Pande; David A Case; Charles L Brooks; Alexander D MacKerell; Jeffery B Klauda; Wonpil Im
Journal:  J Chem Theory Comput       Date:  2015-12-03       Impact factor: 6.006

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  36 in total

1.  The SAMPL5 host-guest challenge: computing binding free energies and enthalpies from explicit solvent simulations by the attach-pull-release (APR) method.

Authors:  Jian Yin; Niel M Henriksen; David R Slochower; Michael K Gilson
Journal:  J Comput Aided Mol Des       Date:  2016-09-16       Impact factor: 3.686

2.  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

3.  From GROMACS to LAMMPS: GRO2LAM : A converter for molecular dynamics software.

Authors:  Hernán Chávez Thielemann; Annalisa Cardellini; Matteo Fasano; Luca Bergamasco; Matteo Alberghini; Gianmarco Ciorra; Eliodoro Chiavazzo; Pietro Asinari
Journal:  J Mol Model       Date:  2019-05-07       Impact factor: 1.810

Review 4.  Collaborative routes to clarifying the murky waters of aqueous supramolecular chemistry.

Authors:  Paul S Cremer; Amar H Flood; Bruce C Gibb; David L Mobley
Journal:  Nat Chem       Date:  2017-12-19       Impact factor: 24.427

5.  Validation of Free Energy Methods in AMBER.

Authors:  Hsu-Chun Tsai; Yujun Tao; Tai-Sung Lee; Kenneth M Merz; Darrin M York
Journal:  J Chem Inf Model       Date:  2020-07-06       Impact factor: 4.956

6.  Binding Thermodynamics of Host-Guest Systems with SMIRNOFF99Frosst 1.0.5 from the Open Force Field Initiative.

Authors:  David R Slochower; Niel M Henriksen; Lee-Ping Wang; John D Chodera; David L Mobley; Michael K Gilson
Journal:  J Chem Theory Comput       Date:  2019-10-25       Impact factor: 6.006

Review 7.  Predicting Binding Free Energies: Frontiers and Benchmarks.

Authors:  David L Mobley; Michael K Gilson
Journal:  Annu Rev Biophys       Date:  2017-04-07       Impact factor: 12.981

8.  Escaping Atom Types in Force Fields Using Direct Chemical Perception.

Authors:  David L Mobley; Caitlin C Bannan; Andrea Rizzi; Christopher I Bayly; John D Chodera; Victoria T Lim; Nathan M Lim; Kyle A Beauchamp; David R Slochower; Michael R Shirts; Michael K Gilson; Peter K Eastman
Journal:  J Chem Theory Comput       Date:  2018-10-30       Impact factor: 6.006

Review 9.  Overview of the SAMPL5 host-guest challenge: Are we doing better?

Authors:  Jian Yin; Niel M Henriksen; David R Slochower; Michael R Shirts; Michael W Chiu; David L Mobley; Michael K Gilson
Journal:  J Comput Aided Mol Des       Date:  2016-09-22       Impact factor: 3.686

10.  Molecular dynamics study of membrane permeabilization by wild-type and mutant lytic peptides from the non-enveloped Flock House virus.

Authors:  Shivangi Nangia; Kevin J Boyd; Eric R May
Journal:  Biochim Biophys Acta Biomembr       Date:  2019-10-31       Impact factor: 3.747

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