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Dissipative particle dynamics model of homogalacturonan based on molecular dynamics simulations
In this study we present an alternative dissipative particle dynamics (DPD) parametrization strategy based on data extracted from the united-atom molecular simulations. The model of the homogalacturonan was designed to test the ability of the formation of large-scale structures via hydrogen bonding...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7477560/ https://www.ncbi.nlm.nih.gov/pubmed/32895471 http://dx.doi.org/10.1038/s41598-020-71820-2 |
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author | Pieczywek, P. M. Płaziński, W. Zdunek, A. |
author_facet | Pieczywek, P. M. Płaziński, W. Zdunek, A. |
author_sort | Pieczywek, P. M. |
collection | PubMed |
description | In this study we present an alternative dissipative particle dynamics (DPD) parametrization strategy based on data extracted from the united-atom molecular simulations. The model of the homogalacturonan was designed to test the ability of the formation of large-scale structures via hydrogen bonding in water. The extraction of coarse-grained parameters from atomistic molecular dynamics was achieved by means of the proposed molecule aggregation algorithm based on an iterative nearest neighbour search. A novel approach to a time-scale calibration scheme based on matching the average velocities of coarse-grained particles enabled the DPD forcefield to reproduce essential structural features of homogalacturonan molecular chains. The successful application of the proposed parametrization method allowed for the reproduction of the shapes of radial distribution functions, particle velocities and diffusivity of the atomistic molecular dynamics model using DPD force field. The structure of polygalacturonic acid molecules was mapped into the DPD force field by means of the distance and angular bond characteristics, which closely matched the MD results. The resulting DPD trajectories showed that randomly dispersed homogalacturonan chains had a tendency to aggregate into highly organized 3D structures. The final structure resembled a three-dimensional network created by tightly associated homogalacturonan chains organized into thick fibres. |
format | Online Article Text |
id | pubmed-7477560 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-74775602020-09-08 Dissipative particle dynamics model of homogalacturonan based on molecular dynamics simulations Pieczywek, P. M. Płaziński, W. Zdunek, A. Sci Rep Article In this study we present an alternative dissipative particle dynamics (DPD) parametrization strategy based on data extracted from the united-atom molecular simulations. The model of the homogalacturonan was designed to test the ability of the formation of large-scale structures via hydrogen bonding in water. The extraction of coarse-grained parameters from atomistic molecular dynamics was achieved by means of the proposed molecule aggregation algorithm based on an iterative nearest neighbour search. A novel approach to a time-scale calibration scheme based on matching the average velocities of coarse-grained particles enabled the DPD forcefield to reproduce essential structural features of homogalacturonan molecular chains. The successful application of the proposed parametrization method allowed for the reproduction of the shapes of radial distribution functions, particle velocities and diffusivity of the atomistic molecular dynamics model using DPD force field. The structure of polygalacturonic acid molecules was mapped into the DPD force field by means of the distance and angular bond characteristics, which closely matched the MD results. The resulting DPD trajectories showed that randomly dispersed homogalacturonan chains had a tendency to aggregate into highly organized 3D structures. The final structure resembled a three-dimensional network created by tightly associated homogalacturonan chains organized into thick fibres. Nature Publishing Group UK 2020-09-07 /pmc/articles/PMC7477560/ /pubmed/32895471 http://dx.doi.org/10.1038/s41598-020-71820-2 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Pieczywek, P. M. Płaziński, W. Zdunek, A. Dissipative particle dynamics model of homogalacturonan based on molecular dynamics simulations |
title | Dissipative particle dynamics model of homogalacturonan based on molecular dynamics simulations |
title_full | Dissipative particle dynamics model of homogalacturonan based on molecular dynamics simulations |
title_fullStr | Dissipative particle dynamics model of homogalacturonan based on molecular dynamics simulations |
title_full_unstemmed | Dissipative particle dynamics model of homogalacturonan based on molecular dynamics simulations |
title_short | Dissipative particle dynamics model of homogalacturonan based on molecular dynamics simulations |
title_sort | dissipative particle dynamics model of homogalacturonan based on molecular dynamics simulations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7477560/ https://www.ncbi.nlm.nih.gov/pubmed/32895471 http://dx.doi.org/10.1038/s41598-020-71820-2 |
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