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Anisotropic Electrostatic Interactions in Coarse-Grained Water Models to Enhance the Accuracy and Speed-Up Factor of Mesoscopic Simulations
[Image: see text] Water models with realistic physical–chemical properties are essential to study a variety of biomedical processes or engineering technologies involving molecules or nanomaterials. Atomistic models of water are constrained by the feasible computational capacity, but calibrated coars...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8573754/ https://www.ncbi.nlm.nih.gov/pubmed/34704761 http://dx.doi.org/10.1021/acs.jpcb.1c07642 |
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author | Bellussi, Francesco Maria Roscioni, Otello Maria Ricci, Matteo Fasano, Matteo |
author_facet | Bellussi, Francesco Maria Roscioni, Otello Maria Ricci, Matteo Fasano, Matteo |
author_sort | Bellussi, Francesco Maria |
collection | PubMed |
description | [Image: see text] Water models with realistic physical–chemical properties are essential to study a variety of biomedical processes or engineering technologies involving molecules or nanomaterials. Atomistic models of water are constrained by the feasible computational capacity, but calibrated coarse-grained (CG) ones can go beyond these limits. Here, we compare three popular atomistic water models with their corresponding CG model built using finite-size particles such as ellipsoids. Differently from previous approaches, short-range interactions are accounted for with the generalized Gay–Berne potential, while electrostatic and long-range interactions are computed from virtual charges inside the ellipsoids. Such an approach leads to a quantitative agreement between the original atomistic models and their CG counterparts. Results show that a timestep of up to 10 fs can be achieved to integrate the equations of motion without significant degradation of the physical observables extracted from the computed trajectories, thus unlocking a significant acceleration of water-based mesoscopic simulations at a given accuracy. |
format | Online Article Text |
id | pubmed-8573754 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-85737542021-11-09 Anisotropic Electrostatic Interactions in Coarse-Grained Water Models to Enhance the Accuracy and Speed-Up Factor of Mesoscopic Simulations Bellussi, Francesco Maria Roscioni, Otello Maria Ricci, Matteo Fasano, Matteo J Phys Chem B [Image: see text] Water models with realistic physical–chemical properties are essential to study a variety of biomedical processes or engineering technologies involving molecules or nanomaterials. Atomistic models of water are constrained by the feasible computational capacity, but calibrated coarse-grained (CG) ones can go beyond these limits. Here, we compare three popular atomistic water models with their corresponding CG model built using finite-size particles such as ellipsoids. Differently from previous approaches, short-range interactions are accounted for with the generalized Gay–Berne potential, while electrostatic and long-range interactions are computed from virtual charges inside the ellipsoids. Such an approach leads to a quantitative agreement between the original atomistic models and their CG counterparts. Results show that a timestep of up to 10 fs can be achieved to integrate the equations of motion without significant degradation of the physical observables extracted from the computed trajectories, thus unlocking a significant acceleration of water-based mesoscopic simulations at a given accuracy. American Chemical Society 2021-10-27 2021-11-04 /pmc/articles/PMC8573754/ /pubmed/34704761 http://dx.doi.org/10.1021/acs.jpcb.1c07642 Text en © 2021 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Bellussi, Francesco Maria Roscioni, Otello Maria Ricci, Matteo Fasano, Matteo Anisotropic Electrostatic Interactions in Coarse-Grained Water Models to Enhance the Accuracy and Speed-Up Factor of Mesoscopic Simulations |
title | Anisotropic Electrostatic Interactions in Coarse-Grained
Water Models to Enhance the Accuracy and Speed-Up Factor of Mesoscopic
Simulations |
title_full | Anisotropic Electrostatic Interactions in Coarse-Grained
Water Models to Enhance the Accuracy and Speed-Up Factor of Mesoscopic
Simulations |
title_fullStr | Anisotropic Electrostatic Interactions in Coarse-Grained
Water Models to Enhance the Accuracy and Speed-Up Factor of Mesoscopic
Simulations |
title_full_unstemmed | Anisotropic Electrostatic Interactions in Coarse-Grained
Water Models to Enhance the Accuracy and Speed-Up Factor of Mesoscopic
Simulations |
title_short | Anisotropic Electrostatic Interactions in Coarse-Grained
Water Models to Enhance the Accuracy and Speed-Up Factor of Mesoscopic
Simulations |
title_sort | anisotropic electrostatic interactions in coarse-grained
water models to enhance the accuracy and speed-up factor of mesoscopic
simulations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8573754/ https://www.ncbi.nlm.nih.gov/pubmed/34704761 http://dx.doi.org/10.1021/acs.jpcb.1c07642 |
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