Literature DB >> 26593198

Application of Gaussian Electrostatic Model (GEM) Distributed Multipoles in the AMOEBA Force Field.

G Andrés Cisneros1.   

Abstract

We present the inclusion of distributed multipoles obtained from the Gaussian Electrostatic Model (GEM) into the AMOEBA force field. As a proof of principle, we have reparametrized water and alanine di-peptide. The GEM distributed multipoles (GEM-DM) have been obtained at the same levels of theory as those used for the original AMOEBA parametrization. The use of GEM allows the derivation of the distributed multipoles from the analytical fit to the molecular density or the numerical fit to the molecular electrostatic potential (mESP). In addition, GEM-DM are intrinsically finite of the highest order of the auxiliary basis used for the GEM fit. We also present the fitting of multipoles for the di-methyl imidazolium/chloride (DMIM(+)-Cl(-)) ionic liquid pair. Results for intermolecular Coulomb for all test systems show very good agreement. MD simulations for a reparametrized AMOEBA water model with GEM-DM provide results on par with the original AMOEBA force field for a series of bulk properties including liquid density and enthalpy of vaporization. A package for the calculation of GEM Hermite coefficients and derived distributed multipoles using the numerical procedure is also presented and released under the GNU public license.

Entities:  

Year:  2012        PMID: 26593198     DOI: 10.1021/ct300630u

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


  21 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.  LICHEM: A QM/MM program for simulations with multipolar and polarizable force fields.

Authors:  Eric G Kratz; Alice R Walker; Louis Lagardère; Filippo Lipparini; Jean-Philip Piquemal; G Andrés Cisneros
Journal:  J Comput Chem       Date:  2016-01-18       Impact factor: 3.376

Review 3.  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

4.  Classical Pauli repulsion: An anisotropic, atomic multipole model.

Authors:  Joshua A Rackers; Jay W Ponder
Journal:  J Chem Phys       Date:  2019-02-28       Impact factor: 3.488

5.  A physically grounded damped dispersion model with particle mesh Ewald summation.

Authors:  Joshua A Rackers; Chengwen Liu; Pengyu Ren; Jay W Ponder
Journal:  J Chem Phys       Date:  2018-08-28       Impact factor: 3.488

6.  Machine Learning Force Field Parameters from Ab Initio Data.

Authors:  Ying Li; Hui Li; Frank C Pickard; Badri Narayanan; Fatih G Sen; Maria K Y Chan; Subramanian K R S Sankaranarayanan; Bernard R Brooks; Benoît Roux
Journal:  J Chem Theory Comput       Date:  2017-09-01       Impact factor: 6.006

7.  Improved parameterization of interatomic potentials for rare gas dimers with density-based energy decomposition analysis.

Authors:  Nengjie Zhou; Zhenyu Lu; Qin Wu; Yingkai Zhang
Journal:  J Chem Phys       Date:  2014-06-07       Impact factor: 3.488

8.  Prediction of cyclohexane-water distribution coefficient for SAMPL5 drug-like compounds with the QMPFF3 and ARROW polarizable force fields.

Authors:  Ganesh Kamath; Igor Kurnikov; Boris Fain; Igor Leontyev; Alexey Illarionov; Oleg Butin; Michael Olevanov; Leonid Pereyaslavets
Journal:  J Comput Aided Mol Des       Date:  2016-09-01       Impact factor: 3.686

9.  QM/MM Simulations with the Gaussian Electrostatic Model: A Density-based Polarizable Potential.

Authors:  Hatice Gökcan; Eric Kratz; Thomas A Darden; Jean-Philip Piquemal; G Andrés Cisneros
Journal:  J Phys Chem Lett       Date:  2018-05-23       Impact factor: 6.475

10.  Ewald-based methods for Gaussian integral evaluation: application to a new parameterization of GEM.

Authors:  Robert E Duke; G Andrés Cisneros
Journal:  J Mol Model       Date:  2019-09-09       Impact factor: 1.810

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