Literature DB >> 25149274

CHARMM additive and polarizable force fields for biophysics and computer-aided drug design.

K Vanommeslaeghe1, A D MacKerell2.   

Abstract

BACKGROUND: Molecular Mechanics (MM) is the method of choice for computational studies of biomolecular systems owing to its modest computational cost, which makes it possible to routinely perform molecular dynamics (MD) simulations on chemical systems of biophysical and biomedical relevance. SCOPE OF REVIEW: As one of the main factors limiting the accuracy of MD results is the empirical force field used, the present paper offers a review of recent developments in the CHARMM additive force field, one of the most popular biomolecular force fields. Additionally, we present a detailed discussion of the CHARMM Drude polarizable force field, anticipating a growth in the importance and utilization of polarizable force fields in the near future. Throughout the discussion emphasis is placed on the force fields' parametrization philosophy and methodology. MAJOR
CONCLUSIONS: Recent improvements in the CHARMM additive force field are mostly related to newly found weaknesses in the previous generation of additive force fields. Beyond the additive approximation is the newly available CHARMM Drude polarizable force field, which allows for MD simulations of up to 1μs on proteins, DNA, lipids and carbohydrates. GENERAL SIGNIFICANCE: Addressing the limitations ensures the reliability of the new CHARMM36 additive force field for the types of calculations that are presently coming into routine computational reach while the availability of the Drude polarizable force fields offers an inherently more accurate model of the underlying physical forces driving macromolecular structures and dynamics. This article is part of a Special Issue entitled "Recent developments of molecular dynamics".
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biophysics; Computer-aided drug design; Empirical force field; Molecular Mechanics; Molecular dynamics; Potential energy function

Mesh:

Substances:

Year:  2014        PMID: 25149274      PMCID: PMC4334745          DOI: 10.1016/j.bbagen.2014.08.004

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  72 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Altered structural fluctuations in duplex RNA versus DNA: a conformational switch involving base pair opening.

Authors:  Yongping Pan; Alexander D MacKerell
Journal:  Nucleic Acids Res       Date:  2003-12-15       Impact factor: 16.971

Review 3.  Force fields for protein simulations.

Authors:  Jay W Ponder; David A Case
Journal:  Adv Protein Chem       Date:  2003

4.  Molecular dynamics simulations of the complete satellite tobacco mosaic virus.

Authors:  Peter L Freddolino; Anton S Arkhipov; Steven B Larson; Alexander McPherson; Klaus Schulten
Journal:  Structure       Date:  2006-03       Impact factor: 5.006

5.  Automation of the CHARMM General Force Field (CGenFF) II: assignment of bonded parameters and partial atomic charges.

Authors:  K Vanommeslaeghe; E Prabhu Raman; A D MacKerell
Journal:  J Chem Inf Model       Date:  2012-11-28       Impact factor: 4.956

6.  Structure and dynamics of the homologous series of alanine peptides: a joint molecular dynamics/NMR study.

Authors:  Jürgen Graf; Phuong H Nguyen; Gerhard Stock; Harald Schwalbe
Journal:  J Am Chem Soc       Date:  2007-02-07       Impact factor: 15.419

7.  CHARMM all-atom additive force field for sphingomyelin: elucidation of hydrogen bonding and of positive curvature.

Authors:  Richard M Venable; Alexander J Sodt; Brent Rogaski; Huan Rui; Elizabeth Hatcher; Alexander D MacKerell; Richard W Pastor; Jeffery B Klauda
Journal:  Biophys J       Date:  2014-07-01       Impact factor: 4.033

8.  Recent Developments and Applications of the CHARMM force fields.

Authors:  Xiao Zhu; Pedro E M Lopes; Alexander D Mackerell
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2011-06-28

9.  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

Review 10.  Molecular mechanics.

Authors:  Kenno Vanommeslaeghe; Olgun Guvench; Alexander D MacKerell
Journal:  Curr Pharm Des       Date:  2014       Impact factor: 3.116

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  75 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

Review 2.  Metal Ion Modeling Using Classical Mechanics.

Authors:  Pengfei Li; Kenneth M Merz
Journal:  Chem Rev       Date:  2017-01-03       Impact factor: 60.622

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

Review 4.  Force field development phase II: Relaxation of physics-based criteria… or inclusion of more rigorous physics into the representation of molecular energetics.

Authors:  A T Hagler
Journal:  J Comput Aided Mol Des       Date:  2018-11-30       Impact factor: 3.686

Review 5.  The MOD-QM/MM Method: Applications to Studies of Photosystem II and DNA G-Quadruplexes.

Authors:  M Askerka; J Ho; E R Batista; J A Gascón; V S Batista
Journal:  Methods Enzymol       Date:  2016-07-15       Impact factor: 1.600

6.  Robustness in the fitting of molecular mechanics parameters.

Authors:  Kenno Vanommeslaeghe; Mingjun Yang; Alexander D MacKerell
Journal:  J Comput Chem       Date:  2015-03-31       Impact factor: 3.376

7.  Hydroxyl Radical-Coupled Electron-Transfer Mechanism of Flavin-Dependent Hydroxylases.

Authors:  Sara E Tweedy; Attabey Rodríguez Benítez; Alison R H Narayan; Paul M Zimmerman; Charles L Brooks; Troy Wymore
Journal:  J Phys Chem B       Date:  2019-09-18       Impact factor: 2.991

Review 8.  Computational functional group mapping for drug discovery.

Authors:  Olgun Guvench
Journal:  Drug Discov Today       Date:  2016-07-05       Impact factor: 7.851

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

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