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Polarizable Water Model for the Coarse-Grained MARTINI Force Field
Coarse-grained (CG) simulations have become an essential tool to study a large variety of biomolecular processes, exploring temporal and spatial scales inaccessible to traditional models of atomistic resolution. One of the major simplifications of CG models is the representation of the solvent, whic...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2883601/ https://www.ncbi.nlm.nih.gov/pubmed/20548957 http://dx.doi.org/10.1371/journal.pcbi.1000810 |
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author | Yesylevskyy, Semen O. Schäfer, Lars V. Sengupta, Durba Marrink, Siewert J. |
author_facet | Yesylevskyy, Semen O. Schäfer, Lars V. Sengupta, Durba Marrink, Siewert J. |
author_sort | Yesylevskyy, Semen O. |
collection | PubMed |
description | Coarse-grained (CG) simulations have become an essential tool to study a large variety of biomolecular processes, exploring temporal and spatial scales inaccessible to traditional models of atomistic resolution. One of the major simplifications of CG models is the representation of the solvent, which is either implicit or modeled explicitly as a van der Waals particle. The effect of polarization, and thus a proper screening of interactions depending on the local environment, is absent. Given the important role of water as a ubiquitous solvent in biological systems, its treatment is crucial to the properties derived from simulation studies. Here, we parameterize a polarizable coarse-grained water model to be used in combination with the CG MARTINI force field. Using a three-bead model to represent four water molecules, we show that the orientational polarizability of real water can be effectively accounted for. This has the consequence that the dielectric screening of bulk water is reproduced. At the same time, we parameterized our new water model such that bulk water density and oil/water partitioning data remain at the same level of accuracy as for the standard MARTINI force field. We apply the new model to two cases for which current CG force fields are inadequate. First, we address the transport of ions across a lipid membrane. The computed potential of mean force shows that the ions now naturally feel the change in dielectric medium when moving from the high dielectric aqueous phase toward the low dielectric membrane interior. In the second application we consider the electroporation process of both an oil slab and a lipid bilayer. The electrostatic field drives the formation of water filled pores in both cases, following a similar mechanism as seen with atomistically detailed models. |
format | Text |
id | pubmed-2883601 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-28836012010-06-14 Polarizable Water Model for the Coarse-Grained MARTINI Force Field Yesylevskyy, Semen O. Schäfer, Lars V. Sengupta, Durba Marrink, Siewert J. PLoS Comput Biol Research Article Coarse-grained (CG) simulations have become an essential tool to study a large variety of biomolecular processes, exploring temporal and spatial scales inaccessible to traditional models of atomistic resolution. One of the major simplifications of CG models is the representation of the solvent, which is either implicit or modeled explicitly as a van der Waals particle. The effect of polarization, and thus a proper screening of interactions depending on the local environment, is absent. Given the important role of water as a ubiquitous solvent in biological systems, its treatment is crucial to the properties derived from simulation studies. Here, we parameterize a polarizable coarse-grained water model to be used in combination with the CG MARTINI force field. Using a three-bead model to represent four water molecules, we show that the orientational polarizability of real water can be effectively accounted for. This has the consequence that the dielectric screening of bulk water is reproduced. At the same time, we parameterized our new water model such that bulk water density and oil/water partitioning data remain at the same level of accuracy as for the standard MARTINI force field. We apply the new model to two cases for which current CG force fields are inadequate. First, we address the transport of ions across a lipid membrane. The computed potential of mean force shows that the ions now naturally feel the change in dielectric medium when moving from the high dielectric aqueous phase toward the low dielectric membrane interior. In the second application we consider the electroporation process of both an oil slab and a lipid bilayer. The electrostatic field drives the formation of water filled pores in both cases, following a similar mechanism as seen with atomistically detailed models. Public Library of Science 2010-06-10 /pmc/articles/PMC2883601/ /pubmed/20548957 http://dx.doi.org/10.1371/journal.pcbi.1000810 Text en Yesylevskyy et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Yesylevskyy, Semen O. Schäfer, Lars V. Sengupta, Durba Marrink, Siewert J. Polarizable Water Model for the Coarse-Grained MARTINI Force Field |
title | Polarizable Water Model for the Coarse-Grained MARTINI Force Field |
title_full | Polarizable Water Model for the Coarse-Grained MARTINI Force Field |
title_fullStr | Polarizable Water Model for the Coarse-Grained MARTINI Force Field |
title_full_unstemmed | Polarizable Water Model for the Coarse-Grained MARTINI Force Field |
title_short | Polarizable Water Model for the Coarse-Grained MARTINI Force Field |
title_sort | polarizable water model for the coarse-grained martini force field |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2883601/ https://www.ncbi.nlm.nih.gov/pubmed/20548957 http://dx.doi.org/10.1371/journal.pcbi.1000810 |
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