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通过连续极限对基于细胞的模型中的一般非线性力定律进行分类。

Classifying general nonlinear force laws in cell-based models via the continuum limit.

作者信息

Murray Philip J, Edwards Carina M, Tindall Marcus J, Maini Philip K

机构信息

Centre for Mathematical Biology, Mathematical Institute, 24-29 St Giles', Oxford OX1 3LB, United Kingdom.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Feb;85(2 Pt 1):021921. doi: 10.1103/PhysRevE.85.021921. Epub 2012 Feb 23.

DOI:10.1103/PhysRevE.85.021921
PMID:22463258
Abstract

Although discrete cell-based frameworks are now commonly used to simulate a whole range of biological phenomena, it is typically not obvious how the numerous different types of model are related to one another, nor which one is most appropriate in a given context. Here we demonstrate how individual cell movement on the discrete scale modeled using nonlinear force laws can be described by nonlinear diffusion coefficients on the continuum scale. A general relationship between nonlinear force laws and their respective diffusion coefficients is derived in one spatial dimension and, subsequently, a range of particular examples is considered. For each case excellent agreement is observed between numerical solutions of the discrete and corresponding continuum models. Three case studies are considered in which we demonstrate how the derived nonlinear diffusion coefficients can be used to (a) relate different discrete models of cell behavior; (b) derive discrete, intercell force laws from previously posed diffusion coefficients, and (c) describe aggregative behavior in discrete simulations.

摘要

尽管基于离散细胞的框架如今常用于模拟一系列生物现象,但通常并不清楚众多不同类型的模型彼此之间是如何关联的,也不清楚在给定情况下哪种模型最合适。在此,我们展示了如何用连续尺度上的非线性扩散系数来描述使用非线性力定律在离散尺度上建模的单个细胞运动。在一维空间中推导出了非线性力定律与其各自扩散系数之间的一般关系,随后考虑了一系列具体示例。对于每种情况,在离散模型和相应连续模型的数值解之间都观察到了极好的一致性。我们考虑了三个案例研究,展示了如何使用推导得到的非线性扩散系数来(a)关联不同的细胞行为离散模型;(b)从先前设定的扩散系数推导出离散的细胞间力定律,以及(c)描述离散模拟中的聚集行为。

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