Literature DB >> 20401166

Accurate Calculation of Hydration Free Energies using Pair-Specific Lennard-Jones Parameters in the CHARMM Drude Polarizable Force Field.

Christopher M Baker1, Pedro E M Lopes, Xiao Zhu, Benoît Roux, Alexander D Mackerell.   

Abstract

Lennard-Jones (LJ) parameters for a variety of model compounds have previously been optimized within the CHARMM Drude polarizable force field to reproduce accurately pure liquid phase thermodynamic properties as well as additional target data. While the polarizable force field resulting from this optimization procedure has been shown to satisfactorily reproduce a wide range of experimental reference data across numerous series of small molecules, a slight but systematic overestimate of the hydration free energies has also been noted. Here, the reproduction of experimental hydration free energies is greatly improved by the introduction of pair-specific LJ parameters between solute heavy atoms and water oxygen atoms that override the standard LJ parameters obtained from combining rules. The changes are small and a systematic protocol is developed for the optimization of pair-specific LJ parameters and applied to the development of pair-specific LJ parameters for alkanes, alcohols and ethers. The resulting parameters not only yield hydration free energies in good agreement with experimental values, but also provide a framework upon which other pair-specific LJ parameters can be added as new compounds are parametrized within the CHARMM Drude polarizable force field. Detailed analysis of the contributions to the hydration free energies reveals that the dispersion interaction is the main source of the systematic errors in the hydration free energies. This information suggests that the systematic error may result from problems with the LJ combining rules and is combined with analysis of the pair-specific LJ parameters obtained in this work to identify a preliminary improved combining rule.

Entities:  

Year:  2010        PMID: 20401166      PMCID: PMC2853947          DOI: 10.1021/ct9005773

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  40 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

2.  A biomolecular force field based on the free enthalpy of hydration and solvation: the GROMOS force-field parameter sets 53A5 and 53A6.

Authors:  Chris Oostenbrink; Alessandra Villa; Alan E Mark; Wilfred F van Gunsteren
Journal:  J Comput Chem       Date:  2004-10       Impact factor: 3.376

3.  A generating equation for mixing rules and two new mixing rules for interatomic potential energy parameters.

Authors:  Ali Khalaf Al-Matar; David A Rockstraw
Journal:  J Comput Chem       Date:  2004-04-15       Impact factor: 3.376

4.  Molecular dynamics simulations of DNA with polarizable force fields: convergence of an ideal B-DNA structure to the crystallographic structure.

Authors:  Volodymyr Babin; Jason Baucom; Thomas A Darden; Celeste Sagui
Journal:  J Phys Chem B       Date:  2006-06-15       Impact factor: 2.991

5.  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

Review 6.  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

7.  Polarizable empirical force field for alkanes based on the classical Drude oscillator model.

Authors:  Igor V Vorobyov; Victor M Anisimov; Alexander D MacKerell
Journal:  J Phys Chem B       Date:  2005-10-13       Impact factor: 2.991

8.  Polarizable empirical force field for nitrogen-containing heteroaromatic compounds based on the classical Drude oscillator.

Authors:  Pedro E M Lopes; Guillaume Lamoureux; Alexander D Mackerell
Journal:  J Comput Chem       Date:  2009-09       Impact factor: 3.376

9.  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

10.  Efficient Simulation Method for Polarizable Protein Force Fields:  Application to the Simulation of BPTI in Liquid Water.

Authors:  Edward Harder; Byungchan Kim; Richard A Friesner; B J Berne
Journal:  J Chem Theory Comput       Date:  2005-01       Impact factor: 6.006

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  58 in total

1.  Polarizable force field for RNA based on the classical drude oscillator.

Authors:  Justin A Lemkul; Alexander D MacKerell
Journal:  J Comput Chem       Date:  2018-12-15       Impact factor: 3.376

2.  Multipole electrostatics in hydration free energy calculations.

Authors:  Yue Shi; Chuanjie Wu; Jay W Ponder; Pengyu Ren
Journal:  J Comput Chem       Date:  2010-10-05       Impact factor: 3.376

3.  Prediction of hydration free energies for aliphatic and aromatic chloro derivatives using molecular dynamics simulations with the OPLS-AA force field.

Authors:  Oliver Beckstein; Bogdan I Iorga
Journal:  J Comput Aided Mol Des       Date:  2011-12-21       Impact factor: 3.686

4.  Matching of additive and polarizable force fields for multiscale condensed phase simulations.

Authors:  Christopher M Baker; Robert B Best
Journal:  J Chem Theory Comput       Date:  2013-06-11       Impact factor: 6.006

Review 5.  Classical electrostatics for biomolecular simulations.

Authors:  G Andrés Cisneros; Mikko Karttunen; Pengyu Ren; Celeste Sagui
Journal:  Chem Rev       Date:  2013-08-27       Impact factor: 60.622

6.  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

7.  Balancing the Interactions of Mg2+ in Aqueous Solution and with Nucleic Acid Moieties For a Polarizable Force Field Based on the Classical Drude Oscillator Model.

Authors:  Justin A Lemkul; Alexander D MacKerell
Journal:  J Phys Chem B       Date:  2016-10-27       Impact factor: 2.991

8.  An explicit-solvent hybrid QM and MM approach for predicting pKa of small molecules in SAMPL6 challenge.

Authors:  Samarjeet Prasad; Jing Huang; Qiao Zeng; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2018-10-01       Impact factor: 3.686

9.  Polarizable simulations with second order interaction model (POSSIM) force field: developing parameters for protein side-chain analogues.

Authors:  Xinbi Li; Sergei Y Ponomarev; Qina Sa; Daniel L Sigalovsky; George A Kaminski
Journal:  J Comput Chem       Date:  2013-02-19       Impact factor: 3.376

10.  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
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