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Implementing a global approach for efficiently simulating molecular dynamics in agent-based models of biological tissue
This protocol explains how to take an agent-based model (ABM) with molecular dynamics and set it up to solve the molecular dynamics with a global approach. It can be used to speed up simulations significantly while retaining high levels of accuracy with the original ABM. Two options are presented fo...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9615321/ https://www.ncbi.nlm.nih.gov/pubmed/36313535 http://dx.doi.org/10.1016/j.xpro.2022.101777 |
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author | Bergman, Daniel Jackson, Trachette L. |
author_facet | Bergman, Daniel Jackson, Trachette L. |
author_sort | Bergman, Daniel |
collection | PubMed |
description | This protocol explains how to take an agent-based model (ABM) with molecular dynamics and set it up to solve the molecular dynamics with a global approach. It can be used to speed up simulations significantly while retaining high levels of accuracy with the original ABM. Two options are presented for implementing this global approach, depending on the desired spatial variability in molecular concentrations. Both options coarse-grain the molecular dynamics in space by dividing the microenvironment into regions with uniform concentrations. For complete details on the use and execution of this protocol, please refer to Bergman et al. (2022). |
format | Online Article Text |
id | pubmed-9615321 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-96153212022-10-29 Implementing a global approach for efficiently simulating molecular dynamics in agent-based models of biological tissue Bergman, Daniel Jackson, Trachette L. STAR Protoc Protocol This protocol explains how to take an agent-based model (ABM) with molecular dynamics and set it up to solve the molecular dynamics with a global approach. It can be used to speed up simulations significantly while retaining high levels of accuracy with the original ABM. Two options are presented for implementing this global approach, depending on the desired spatial variability in molecular concentrations. Both options coarse-grain the molecular dynamics in space by dividing the microenvironment into regions with uniform concentrations. For complete details on the use and execution of this protocol, please refer to Bergman et al. (2022). Elsevier 2022-10-25 /pmc/articles/PMC9615321/ /pubmed/36313535 http://dx.doi.org/10.1016/j.xpro.2022.101777 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Protocol Bergman, Daniel Jackson, Trachette L. Implementing a global approach for efficiently simulating molecular dynamics in agent-based models of biological tissue |
title | Implementing a global approach for efficiently simulating molecular dynamics in agent-based models of biological tissue |
title_full | Implementing a global approach for efficiently simulating molecular dynamics in agent-based models of biological tissue |
title_fullStr | Implementing a global approach for efficiently simulating molecular dynamics in agent-based models of biological tissue |
title_full_unstemmed | Implementing a global approach for efficiently simulating molecular dynamics in agent-based models of biological tissue |
title_short | Implementing a global approach for efficiently simulating molecular dynamics in agent-based models of biological tissue |
title_sort | implementing a global approach for efficiently simulating molecular dynamics in agent-based models of biological tissue |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9615321/ https://www.ncbi.nlm.nih.gov/pubmed/36313535 http://dx.doi.org/10.1016/j.xpro.2022.101777 |
work_keys_str_mv | AT bergmandaniel implementingaglobalapproachforefficientlysimulatingmoleculardynamicsinagentbasedmodelsofbiologicaltissue AT jacksontrachettel implementingaglobalapproachforefficientlysimulatingmoleculardynamicsinagentbasedmodelsofbiologicaltissue |