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Methods Mol Biol. 2016;1407:397-415. doi: 10.1007/978-1-4939-3480-5_27.

Modeling Excitable Dynamics of Chemotactic Networks.

Author information

1
Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
2
Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, 21205, MD, USA. pi@jhu.edu.

Abstract

The study of chemotaxis has benefited greatly from computational models that describe the response of cells to chemoattractant stimuli. These models must keep track of spatially and temporally varying distributions of numerous intracellular species. Moreover, recent evidence suggests that these are not deterministic interactions, but also include the effect of stochastic variations that trigger an excitable network. In this chapter we illustrate how to create simulations of excitable networks using the Virtual Cell modeling environment.

KEYWORDS:

Chemotaxis; Excitable systems; Mathematical model; Reaction-diffusion; Stochastic systems

PMID:
27271916
DOI:
10.1007/978-1-4939-3480-5_27
[Indexed for MEDLINE]

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