Literature DB >> 25962472

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

Justin A Lemkul1, Benoît Roux2, David van der Spoel3, Alexander D MacKerell1.   

Abstract

Explicit treatment of electronic polarization in empirical force fields used for molecular dynamics simulations represents an important advancement in simulation methodology. A straightforward means of treating electronic polarization in these simulations is the inclusion of Drude oscillators, which are auxiliary, charge-carrying particles bonded to the cores of atoms in the system. The additional degrees of freedom make these simulations more computationally expensive relative to simulations using traditional fixed-charge (additive) force fields. Thus, efficient tools are needed for conducting these simulations. Here, we present the implementation of highly scalable algorithms in the GROMACS simulation package that allow for the simulation of polarizable systems using extended Lagrangian dynamics with a dual Nosé-Hoover thermostat as well as simulations using a full self-consistent field treatment of polarization. The performance of systems of varying size is evaluated, showing that the present code parallelizes efficiently and is the fastest implementation of the extended Lagrangian methods currently available for simulations using the Drude polarizable force field.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  induced polarization; molecular dynamics; parallel performance; scalability

Mesh:

Substances:

Year:  2015        PMID: 25962472      PMCID: PMC4481176          DOI: 10.1002/jcc.23937

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


  31 in total

1.  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

2.  CHARMM-GUI: a web-based graphical user interface for CHARMM.

Authors:  Sunhwan Jo; Taehoon Kim; Vidyashankara G Iyer; Wonpil Im
Journal:  J Comput Chem       Date:  2008-08       Impact factor: 3.376

Review 3.  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

4.  GROMACS 4.5: a high-throughput and highly parallel open source molecular simulation toolkit.

Authors:  Sander Pronk; Szilárd Páll; Roland Schulz; Per Larsson; Pär Bjelkmar; Rossen Apostolov; Michael R Shirts; Jeremy C Smith; Peter M Kasson; David van der Spoel; Berk Hess; Erik Lindahl
Journal:  Bioinformatics       Date:  2013-02-13       Impact factor: 6.937

5.  Optimization of the additive CHARMM all-atom protein force field targeting improved sampling of the backbone φ, ψ and side-chain χ(1) and χ(2) dihedral angles.

Authors:  Robert B Best; Xiao Zhu; Jihyun Shim; Pedro E M Lopes; Jeetain Mittal; Michael Feig; Alexander D Mackerell
Journal:  J Chem Theory Comput       Date:  2012-07-18       Impact factor: 6.006

6.  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

7.  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

8.  Polarizable empirical force field for hexopyranose monosaccharides based on the classical Drude oscillator.

Authors:  Dhilon S Patel; Xibing He; Alexander D MacKerell
Journal:  J Phys Chem B       Date:  2014-02-24       Impact factor: 2.991

9.  Differential Impact of the Monovalent Ions Li⁺, Na⁺, K⁺, and Rb⁺ on DNA Conformational Properties.

Authors:  Alexey Savelyev; Alexander D MacKerell
Journal:  J Phys Chem Lett       Date:  2015-01-02       Impact factor: 6.475

10.  Balancing the interactions of ions, water, and DNA in the Drude polarizable force field.

Authors:  Alexey Savelyev; Alexander D MacKerell
Journal:  J Phys Chem B       Date:  2014-06-09       Impact factor: 2.991

View more
  26 in total

1.  Efficient treatment of induced dipoles.

Authors:  Andrew C Simmonett; Frank C Pickard; Yihan Shao; Thomas E Cheatham; Bernard R Brooks
Journal:  J Chem Phys       Date:  2015-08-21       Impact factor: 3.488

2.  Polarizable Force Field for Molecular Ions Based on the Classical Drude Oscillator.

Authors:  Fang-Yu Lin; Pedro E M Lopes; Edward Harder; Benoît Roux; Alexander D MacKerell
Journal:  J Chem Inf Model       Date:  2018-04-17       Impact factor: 4.956

3.  Drude Polarizable Force Field for Molecular Dynamics Simulations of Saturated and Unsaturated Zwitterionic Lipids.

Authors:  Hui Li; Janamejaya Chowdhary; Lei Huang; Xibing He; Alexander D MacKerell; Benoît Roux
Journal:  J Chem Theory Comput       Date:  2017-08-08       Impact factor: 6.006

4.  Solvation structure of the halides from x-ray absorption spectroscopy.

Authors:  Matthew Antalek; Elisabetta Pace; Britt Hedman; Keith O Hodgson; Giovanni Chillemi; Maurizio Benfatto; Ritimukta Sarangi; Patrick Frank
Journal:  J Chem Phys       Date:  2016-07-28       Impact factor: 3.488

5.  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

6.  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

7.  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

8.  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

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.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.