Literature DB >> 34874077

CHARMM-GUI Drude prepper for molecular dynamics simulation using the classical Drude polarizable force field.

Abhishek A Kognole1, Jumin Lee2, Sang-Jun Park2, Sunhwan Jo3, Payal Chatterjee1, Justin A Lemkul4, Jing Huang5, Alexander D MacKerell1, Wonpil Im2.   

Abstract

Explicit treatment of electronic polarizability in empirical force fields (FFs) represents an extension over a traditional additive or pairwise FF and provides a more realistic model of the variations in electronic structure in condensed phase, macromolecular simulations. To facilitate utilization of the polarizable FF based on the classical Drude oscillator model, Drude Prepper has been developed in CHARMM-GUI. Drude Prepper ingests additive CHARMM protein structures file (PSF) and pre-equilibrated coordinates in CHARMM, PDB, or NAMD format, from which the molecular components of the system are identified. These include all residues and patches connecting those residues along with water, ions, and other solute molecules. This information is then used to construct the Drude FF-based PSF using molecular generation capabilities in CHARMM, followed by minimization and equilibration. In addition, inputs are generated for molecular dynamics (MD) simulations using CHARMM, GROMACS, NAMD, and OpenMM. Validation of the Drude Prepper protocol and inputs is performed through conversion and MD simulations of various heterogeneous systems that include proteins, nucleic acids, lipids, polysaccharides, and atomic ions using the aforementioned simulation packages. Stable simulations are obtained in all studied systems, including 5 μs simulation of ubiquitin, verifying the integrity of the generated Drude PSFs. In addition, the ability of the Drude FF to model variations in electronic structure is shown through dipole moment analysis in selected systems. The capabilities and availability of Drude Prepper in CHARMM-GUI is anticipated to greatly facilitate the application of the Drude FF to a range of condensed phase, macromolecular systems.
© 2021 Wiley Periodicals LLC.

Entities:  

Keywords:  DNA; RNA; carbohydrate; dipole moment; membrane; protein; protein structure file

Mesh:

Year:  2021        PMID: 34874077      PMCID: PMC8741736          DOI: 10.1002/jcc.26795

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


  108 in total

1.  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

2.  Validation of the 53A6 GROMOS force field.

Authors:  Chris Oostenbrink; Thereza A Soares; Nico F A van der Vegt; Wilfred F van Gunsteren
Journal:  Eur Biophys J       Date:  2005-04-01       Impact factor: 1.733

3.  The Amber biomolecular simulation programs.

Authors:  David A Case; Thomas E Cheatham; Tom Darden; Holger Gohlke; Ray Luo; Kenneth M Merz; Alexey Onufriev; Carlos Simmerling; Bing Wang; Robert J Woods
Journal:  J Comput Chem       Date:  2005-12       Impact factor: 3.376

4.  Structure of ubiquitin refined at 1.8 A resolution.

Authors:  S Vijay-Kumar; C E Bugg; W J Cook
Journal:  J Mol Biol       Date:  1987-04-05       Impact factor: 5.469

Review 5.  CHARMM-GUI PDB manipulator for advanced modeling and simulations of proteins containing nonstandard residues.

Authors:  Sunhwan Jo; Xi Cheng; Shahidul M Islam; Lei Huang; Huan Rui; Allen Zhu; Hui Sun Lee; Yifei Qi; Wei Han; Kenno Vanommeslaeghe; Alexander D MacKerell; Benoît Roux; Wonpil Im
Journal:  Adv Protein Chem Struct Biol       Date:  2014-08-24       Impact factor: 3.507

6.  Carbohydrate force fields.

Authors:  B Lachele Foley; Matthew B Tessier; Robert J Woods
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2012-07

7.  Impact of 2'-hydroxyl sampling on the conformational properties of RNA: update of the CHARMM all-atom additive force field for RNA.

Authors:  Elizabeth J Denning; U Deva Priyakumar; Lennart Nilsson; Alexander D Mackerell
Journal:  J Comput Chem       Date:  2011-04-05       Impact factor: 3.376

8.  Glycan Reader is improved to recognize most sugar types and chemical modifications in the Protein Data Bank.

Authors:  Sang-Jun Park; Jumin Lee; Dhilon S Patel; Hongjing Ma; Hui Sun Lee; Sunhwan Jo; Wonpil Im
Journal:  Bioinformatics       Date:  2017-10-01       Impact factor: 6.937

9.  Testing of the GROMOS Force-Field Parameter Set 54A8: Structural Properties of Electrolyte Solutions, Lipid Bilayers, and Proteins.

Authors:  Maria M Reif; Moritz Winger; Chris Oostenbrink
Journal:  J Chem Theory Comput       Date:  2013-01-02       Impact factor: 6.006

10.  Accelerated Molecular Dynamics Simulations with the AMOEBA Polarizable Force Field on Graphics Processing Units.

Authors:  Steffen Lindert; Denis Bucher; Peter Eastman; Vijay Pande; J Andrew McCammon
Journal:  J Chem Theory Comput       Date:  2013-10-15       Impact factor: 6.006

View more
  4 in total

1.  Accurate modeling of RNA hairpins through the explicit treatment of electronic polarizability with the classical Drude oscillator force field.

Authors:  Mert Y Sengul; Alexander D MacKerell
Journal:  J Comput Biophys Chem       Date:  2022-01-26

2.  Extension of the CHARMM Classical Drude Polarizable Force Field to N- and O-Linked Glycopeptides and Glycoproteins.

Authors:  Abhishek A Kognole; Asaminew H Aytenfisu; Alexander D MacKerell
Journal:  J Phys Chem B       Date:  2022-08-25       Impact factor: 3.466

3.  Relative binding free energy calculations with transformato: A molecular dynamics engine-independent tool.

Authors:  Johannes Karwounopoulos; Marcus Wieder; Stefan Boresch
Journal:  Front Mol Biosci       Date:  2022-09-06

4.  Does the inclusion of electronic polarisability lead to a better modelling of peptide aggregation?

Authors:  Batuhan Kav; Birgit Strodel
Journal:  RSC Adv       Date:  2022-07-21       Impact factor: 4.036

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.