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A cell-centered, agent-based framework that enables flexible environment granularities

BACKGROUND: Mechanistic explanations of cell-level phenomena typically adopt an observer perspective. Explanations developed from a cell’s perspective may offer new insights. Agent-based models lend themselves to model from an individual perspective, and existing agent-based models generally utilize...

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Detalles Bibliográficos
Autores principales: Kennedy, Ryan C, Ropella, Glen EP, Hunt, C Anthony
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4736144/
https://www.ncbi.nlm.nih.gov/pubmed/26839017
http://dx.doi.org/10.1186/s12976-016-0030-9
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author Kennedy, Ryan C
Ropella, Glen EP
Hunt, C Anthony
author_facet Kennedy, Ryan C
Ropella, Glen EP
Hunt, C Anthony
author_sort Kennedy, Ryan C
collection PubMed
description BACKGROUND: Mechanistic explanations of cell-level phenomena typically adopt an observer perspective. Explanations developed from a cell’s perspective may offer new insights. Agent-based models lend themselves to model from an individual perspective, and existing agent-based models generally utilize a regular lattice-based environment. A framework which utilizes a cell’s perspective in an off-lattice environment could improve the overall understanding of biological phenomena. RESULTS: We present an agent-based, discrete event framework, with a demonstrative focus on biomimetic agents. The framework was first developed in 2-dimensions and then extended, with a subset of behaviors, to 3-dimensions. The framework is expected to facilitate studies of more complex biological phenomena through exploitation of a dynamic Delaunay and Voronoi off-lattice environment. We used the framework to model biological cells and to specifically demonstrate basic biological cell behaviors in two- and three-dimensional space. Potential use cases are highlighted, suggesting the utility of the framework in various scenarios. CONCLUSIONS: The framework presented in this manuscript expands on existing cell- and agent-centered methods by offering a new perspective in an off-lattice environment. As the demand for biomimetic models grows, the demand for new methods, such as the presented Delaunay and Voronoi framework, is expected to increase. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12976-016-0030-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-47361442016-02-03 A cell-centered, agent-based framework that enables flexible environment granularities Kennedy, Ryan C Ropella, Glen EP Hunt, C Anthony Theor Biol Med Model Software BACKGROUND: Mechanistic explanations of cell-level phenomena typically adopt an observer perspective. Explanations developed from a cell’s perspective may offer new insights. Agent-based models lend themselves to model from an individual perspective, and existing agent-based models generally utilize a regular lattice-based environment. A framework which utilizes a cell’s perspective in an off-lattice environment could improve the overall understanding of biological phenomena. RESULTS: We present an agent-based, discrete event framework, with a demonstrative focus on biomimetic agents. The framework was first developed in 2-dimensions and then extended, with a subset of behaviors, to 3-dimensions. The framework is expected to facilitate studies of more complex biological phenomena through exploitation of a dynamic Delaunay and Voronoi off-lattice environment. We used the framework to model biological cells and to specifically demonstrate basic biological cell behaviors in two- and three-dimensional space. Potential use cases are highlighted, suggesting the utility of the framework in various scenarios. CONCLUSIONS: The framework presented in this manuscript expands on existing cell- and agent-centered methods by offering a new perspective in an off-lattice environment. As the demand for biomimetic models grows, the demand for new methods, such as the presented Delaunay and Voronoi framework, is expected to increase. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12976-016-0030-9) contains supplementary material, which is available to authorized users. BioMed Central 2016-02-02 /pmc/articles/PMC4736144/ /pubmed/26839017 http://dx.doi.org/10.1186/s12976-016-0030-9 Text en © Kennedy et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Software
Kennedy, Ryan C
Ropella, Glen EP
Hunt, C Anthony
A cell-centered, agent-based framework that enables flexible environment granularities
title A cell-centered, agent-based framework that enables flexible environment granularities
title_full A cell-centered, agent-based framework that enables flexible environment granularities
title_fullStr A cell-centered, agent-based framework that enables flexible environment granularities
title_full_unstemmed A cell-centered, agent-based framework that enables flexible environment granularities
title_short A cell-centered, agent-based framework that enables flexible environment granularities
title_sort cell-centered, agent-based framework that enables flexible environment granularities
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4736144/
https://www.ncbi.nlm.nih.gov/pubmed/26839017
http://dx.doi.org/10.1186/s12976-016-0030-9
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