Literature DB >> 29727037

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

Jing Huang1, Justin A Lemkul1, Peter K Eastman2, Alexander D MacKerell1.   

Abstract

Presented is the implementation of the Drude force field in the open-source OpenMM simulation package allowing for access to graphical processing unit (GPU) hardware. In the Drude model, electronic degrees of freedom are represented by negatively charged particles attached to their parent atoms via harmonic springs, such that extra computational overhead comes from these additional particles and virtual sites representing lone pairs on electronegative atoms, as well as the associated thermostat and integration algorithms. This leads to an approximately fourfold increase in computational demand over additive force fields. However, by making the Drude model accessible to consumer-grade desktop GPU hardware it will be possible to perform simulations of one microsecond or more in less than a month, indicating that the barrier to employ polarizable models has largely been removed such that polarizable simulations with the classical Drude model are readily accessible and practical.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  CHARMM; Drude oscillator; graphical processing units; molecular dynamics simulation; polarizable force field

Mesh:

Year:  2018        PMID: 29727037      PMCID: PMC6031474          DOI: 10.1002/jcc.25339

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  31 in total

1.  CHARMM fluctuating charge force field for proteins: II protein/solvent properties from molecular dynamics simulations using a nonadditive electrostatic model.

Authors:  Sandeep Patel; Alexander D Mackerell; Charles L Brooks
Journal:  J Comput Chem       Date:  2004-09       Impact factor: 3.376

Review 2.  Empirical force fields for biological macromolecules: overview and issues.

Authors:  Alexander D Mackerell
Journal:  J Comput Chem       Date:  2004-10       Impact factor: 3.376

3.  Atomic Level Anisotropy in the Electrostatic Modeling of Lone Pairs for a Polarizable Force Field Based on the Classical Drude Oscillator.

Authors:  Edward Harder; Victor M Anisimov; Igor V Vorobyov; Pedro E M Lopes; Sergei Y Noskov; Alexander D MacKerell; Benoît Roux
Journal:  J Chem Theory Comput       Date:  2006-11       Impact factor: 6.006

Review 4.  CHARMM: the biomolecular simulation program.

Authors:  B R Brooks; C L Brooks; A D Mackerell; L Nilsson; R J Petrella; B Roux; Y Won; G Archontis; C Bartels; S Boresch; A Caflisch; L Caves; Q Cui; A R Dinner; M Feig; S Fischer; J Gao; M Hodoscek; W Im; K Kuczera; T Lazaridis; J Ma; V Ovchinnikov; E Paci; R W Pastor; C B Post; J Z Pu; M Schaefer; B Tidor; R M Venable; H L Woodcock; X Wu; W Yang; D M York; M Karplus
Journal:  J Comput Chem       Date:  2009-07-30       Impact factor: 3.376

5.  Implementation of extended Lagrangian dynamics in GROMACS for polarizable simulations using the classical Drude oscillator model.

Authors:  Justin A Lemkul; Benoît Roux; David van der Spoel; Alexander D MacKerell
Journal:  J Comput Chem       Date:  2015-05-12       Impact factor: 3.376

6.  Long-Time-Step Molecular Dynamics through Hydrogen Mass Repartitioning.

Authors:  Chad W Hopkins; Scott Le Grand; Ross C Walker; Adrian E Roitberg
Journal:  J Chem Theory Comput       Date:  2015-03-30       Impact factor: 6.006

7.  OpenMM 4: A Reusable, Extensible, Hardware Independent Library for High Performance Molecular Simulation.

Authors:  Peter Eastman; Mark S Friedrichs; John D Chodera; Randall J Radmer; Christopher M Bruns; Joy P Ku; Kyle A Beauchamp; Thomas J Lane; Lee-Ping Wang; Diwakar Shukla; Tony Tye; Mike Houston; Timo Stich; Christoph Klein; Michael R Shirts; Vijay S Pande
Journal:  J Chem Theory Comput       Date:  2012-10-18       Impact factor: 6.006

8.  CHARMM fluctuating charge force field for proteins: I parameterization and application to bulk organic liquid simulations.

Authors:  Sandeep Patel; Charles L Brooks
Journal:  J Comput Chem       Date:  2004-01-15       Impact factor: 3.376

9.  The Polarizable Atomic Multipole-based AMOEBA Force Field for Proteins.

Authors:  Yue Shi; Zhen Xia; Jiajing Zhang; Robert Best; Chuanjie Wu; Jay W Ponder; Pengyu Ren
Journal:  J Chem Theory Comput       Date:  2013       Impact factor: 6.006

10.  Structure of a B-DNA dodecamer: conformation and dynamics.

Authors:  H R Drew; R M Wing; T Takano; C Broka; S Tanaka; K Itakura; R E Dickerson
Journal:  Proc Natl Acad Sci U S A       Date:  1981-04       Impact factor: 11.205

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  29 in total

1.  Balanced polarizable Drude force field parameters for molecular anions: phosphates, sulfates, sulfamates, and oxides.

Authors:  Abhishek A Kognole; Asaminew H Aytenfisu; Alexander D MacKerell
Journal:  J Mol Model       Date:  2020-05-24       Impact factor: 1.810

2.  Predicting partition coefficients of drug-like molecules in the SAMPL6 challenge with Drude polarizable force fields.

Authors:  Ye Ding; You Xu; Cheng Qian; Jinfeng Chen; Jian Zhu; Houhou Huang; Yi Shi; Jing Huang
Journal:  J Comput Aided Mol Des       Date:  2020-01-20       Impact factor: 3.686

3.  Molecular Dynamics Simulations of Ionic Liquids and Electrolytes Using Polarizable Force Fields.

Authors:  Dmitry Bedrov; Jean-Philip Piquemal; Oleg Borodin; Alexander D MacKerell; Benoît Roux; Christian Schröder
Journal:  Chem Rev       Date:  2019-05-29       Impact factor: 60.622

4.  Same fold, different properties: polarizable molecular dynamics simulations of telomeric and TERRA G-quadruplexes.

Authors:  Justin A Lemkul
Journal:  Nucleic Acids Res       Date:  2020-01-24       Impact factor: 16.971

5.  Drude Polarizable Force Field Parametrization of Carboxylate and N-Acetyl Amine Carbohydrate Derivatives.

Authors:  Poonam Pandey; Asaminew H Aytenfisu; Alexander D MacKerell; Sairam S Mallajosyula
Journal:  J Chem Theory Comput       Date:  2019-08-29       Impact factor: 6.006

6.  Improved Modeling of Cation-π and Anion-Ring Interactions Using the Drude Polarizable Empirical Force Field for Proteins.

Authors:  Fang-Yu Lin; Alexander D MacKerell
Journal:  J Comput Chem       Date:  2019-09-13       Impact factor: 3.376

7.  Force Fields for Small Molecules.

Authors:  Fang-Yu Lin; Alexander D MacKerell
Journal:  Methods Mol Biol       Date:  2019

8.  Polarizable Molecular Dynamics Simulations of Two c-kit Oncogene Promoter G-Quadruplexes: Effect of Primary and Secondary Structure on Loop and Ion Sampling.

Authors:  Alexa M Salsbury; Tanner J Dean; Justin A Lemkul
Journal:  J Chem Theory Comput       Date:  2020-04-30       Impact factor: 6.006

9.  Further Optimization and Validation of the Classical Drude Polarizable Protein Force Field.

Authors:  Fang-Yu Lin; Jing Huang; Poonam Pandey; Chetan Rupakheti; Jing Li; Benoı T Roux; Alexander D MacKerell
Journal:  J Chem Theory Comput       Date:  2020-04-27       Impact factor: 6.006

10.  Impact of electronic polarizability on protein-functional group interactions.

Authors:  Himanshu Goel; Wenbo Yu; Vincent D Ustach; Asaminew H Aytenfisu; Delin Sun; Alexander D MacKerell
Journal:  Phys Chem Chem Phys       Date:  2020-04-06       Impact factor: 3.676

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