Modeling excitable dynamics of chemotactic networks

Sayak Bhattacharya, Pablo A Iglesias

Research output: Chapter in Book/Report/Conference proceedingChapter

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.

Original languageEnglish (US)
Title of host publicationMethods in Molecular Biology
PublisherHumana Press Inc.
Pages397-415
Number of pages19
Volume1407
DOIs
StatePublished - 2016

Publication series

NameMethods in Molecular Biology
Volume1407
ISSN (Print)10643745

Keywords

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

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

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  • Cite this

    Bhattacharya, S., & Iglesias, P. A. (2016). Modeling excitable dynamics of chemotactic networks. In Methods in Molecular Biology (Vol. 1407, pp. 397-415). (Methods in Molecular Biology; Vol. 1407). Humana Press Inc.. https://doi.org/10.1007/978-1-4939-3480-5_27