Modeling Excitable Dynamics of Chemotactic Networks.
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.
Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.
Sayak
S
Bhattacharya
Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, 21205, MD, USA. pi@jhu.edu.
Pablo A
PA
Iglesias
D000465:Algorithms; D002630:Chemotactic Factors / Q000378:metabolism*; D002633:Chemotaxis / Q000502:physiology*; D003198:Computer Simulation; D004058:Diffusion; D008954:Models, Biological; D013269:Stochastic Processes; D014584:User-Computer Interface
D002630:Chemotactic Factors
Chemotaxis; Excitable systems; Mathematical model; Reaction-diffusion; Stochastic systems