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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...

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Detalles Bibliográficos
Autores principales: Bergman, Daniel, Jackson, Trachette L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
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).
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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
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