Literature DB >> 22612087

The multiscale coarse-graining method. IX. A general method for construction of three body coarse-grained force fields.

Avisek Das1, Hans C Andersen.   

Abstract

The multiscale coarse-graining (MS-CG) method is a method for constructing a coarse-grained (CG) model of a system using data obtained from molecular dynamics simulations of the corresponding atomically detailed model. The formal statistical mechanical derivation of the method shows that the potential energy function extracted from an MS-CG calculation is a variational approximation for the true potential of mean force of the CG sites, one that becomes exact in the limit that a complete basis set is used in the variational calculation if enough data are obtained from the atomistic simulations. Most applications of the MS-CG method have employed a representation for the nonbonded part of the CG potential that is a sum of all possible pair interactions. This approach, despite being quite successful for some CG models, is inadequate for some others. Here we propose a systematic method for including three body terms as well as two body terms in the nonbonded part of the CG potential energy. The current method is more general than a previous version presented in a recent paper of this series [L. Larini, L. Lu, and G. A. Voth, J. Chem. Phys. 132, 164107 (2010)], in the sense that it does not make any restrictive choices for the functional form of the three body potential. We use hierarchical multiresolution functions that are similar to wavelets to develop very flexible basis function expansions with both two and three body basis functions. The variational problem is solved by a numerical technique that is capable of automatically selecting an appropriate subset of basis functions from a large initial set. We apply the method to two very different coarse-grained models: a solvent free model of a two component solution made of identical Lennard-Jones particles and a one site model of SPC/E water where a site is placed at the center of mass of each water molecule. These calculations show that the inclusion of three body terms in the nonbonded CG potential can lead to significant improvement in the accuracy of CG potentials and hence of CG simulations.

Entities:  

Year:  2012        PMID: 22612087     DOI: 10.1063/1.4705417

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  6 in total

Review 1.  Bottom-up Coarse-Graining: Principles and Perspectives.

Authors:  Jaehyeok Jin; Alexander J Pak; Aleksander E P Durumeric; Timothy D Loose; Gregory A Voth
Journal:  J Chem Theory Comput       Date:  2022-09-07       Impact factor: 6.578

2.  Model reduction of rigid-body molecular dynamics via generalized multipole potentials.

Authors:  Paul N Patrone; Andrew Dienstfrey; G B McFadden
Journal:  Phys Rev E       Date:  2019-12       Impact factor: 2.529

3.  Bayesian calibration of coarse-grained forces: Efficiently addressing transferability.

Authors:  Paul N Patrone; Thomas W Rosch; Frederick R Phelan
Journal:  J Chem Phys       Date:  2016-04-21       Impact factor: 3.488

4.  A new one-site coarse-grained model for water: Bottom-up many-body projected water (BUMPer). I. General theory and model.

Authors:  Jaehyeok Jin; Yining Han; Alexander J Pak; Gregory A Voth
Journal:  J Chem Phys       Date:  2021-01-28       Impact factor: 3.488

5.  Molecular basis for the dissociation dynamics of protein A-immunoglobulin G1 complex.

Authors:  Fu-Feng Liu; Bo Huang; Xiao-Yan Dong; Yan Sun
Journal:  PLoS One       Date:  2013-06-12       Impact factor: 3.240

6.  Kernel-Based Machine Learning for Efficient Simulations of Molecular Liquids.

Authors:  Christoph Scherer; René Scheid; Denis Andrienko; Tristan Bereau
Journal:  J Chem Theory Comput       Date:  2020-04-24       Impact factor: 6.006

  6 in total

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