Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/135374
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Type: Journal article
Title: A rigid body framework for multicellular modeling
Author: Brown, P.J.
Green, J.E.F.
Binder, B.J.
Osborne, J.M.
Citation: Nature Computational Science, 2021; 1(11):754-766
Publisher: Springer Science and Business Media LLC
Issue Date: 2021
ISSN: 2662-8457
2662-8457
Statement of
Responsibility: 
Phillip J. Brown, J. Edward F. Green, Benjamin J. Binder, James M. Osborne
Abstract: Off-lattice models are a well-established approach in multicellular modeling, where cells are represented as points that are free to move in space. The representation of cells as point objects is useful in a wide range of settings, particularly when large populations are involved; however, a purely point-based representation is not naturally equipped to deal with objects that have length, such as cell boundaries or external membranes. Here we introduce an off-lattice modeling framework that exploits rigid body mechanics to represent objects using a collection of conjoined one-dimensional edges in a viscosity-dominated system. This framework can be used to represent cells as free moving polygons, to allow epithelial layers to smoothly interact with themselves, to model rod-shaped cells such as bacteria and to robustly represent membranes. We demonstrate that this approach offers solutions to the problems that limit the scope of current off-lattice multicellular models.
Rights: © The Author(s), under exclusive licence to Springer Nature America, Inc. 2021
DOI: 10.1038/s43588-021-00154-4
Grant ID: http://purl.org/au-research/grants/arc/DP160102644
Published version: https://www.springer.com/gp
Appears in Collections:Mathematical Sciences publications

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