Literature DB >> 26723601

The multiscale coarse-graining method. XI. Accurate interactions based on the centers of charge of coarse-grained sites.

Zhen Cao1, Gregory A Voth1.   

Abstract

It is essential to be able to systematically construct coarse-grained (CG) models that can efficiently and accurately reproduce key properties of higher-resolution models such as all-atom. To fulfill this goal, a mapping operator is needed to transform the higher-resolution configuration to a CG configuration. Certain mapping operators, however, may lose information related to the underlying electrostatic properties. In this paper, a new mapping operator based on the centers of charge of CG sites is proposed to address this issue. Four example systems are chosen to demonstrate this concept. Within the multiscale coarse-graining framework, CG models that use this mapping operator are found to better reproduce the structural correlations of atomistic models. The present work also demonstrates the flexibility of the mapping operator and the robustness of the force matching method. For instance, important functional groups can be isolated and emphasized in the CG model.

Entities:  

Year:  2015        PMID: 26723601     DOI: 10.1063/1.4933249

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


  4 in total

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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

3.  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

4.  Modelling lipid systems in fluid with Lattice Boltzmann Molecular Dynamics simulations and hydrodynamics.

Authors:  Astrid F Brandner; Stepan Timr; Simone Melchionna; Philippe Derreumaux; Marc Baaden; Fabio Sterpone
Journal:  Sci Rep       Date:  2019-11-11       Impact factor: 4.379

  4 in total

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