DocumentCode :
2616295
Title :
Multiscale models of bacterial populations
Author :
Lees, Michael ; Logan, Brian ; King, John
Author_Institution :
Univ. of Nottingham, Nottingham
fYear :
2007
fDate :
9-12 Dec. 2007
Firstpage :
881
Lastpage :
890
Abstract :
We present a hybrid model of the interactions within (multiple-species) populations of bacteria in a developing biofilm which integrates continuum models of population processes (e.g., diffusion of substrates and signalling molecules) with individual-based models of cellular processes (notably growth, division, displacement, and up- regulation). The cell level models combine both aggregated models of continuous processes (growth, division and displacement) for small collections of cells and individual-cell level models of quorum sensing molecule (QSM) sensing, production and up-regulation which encompass both stochastic and discrete processes. The use of both aggregated and individual models of cellular processes allows the resolution of the model to be tailored for a particular modelling problem, while at the same time remaining computationally tractable.
Keywords :
cellular biophysics; discrete systems; microorganisms; stochastic processes; bacterial populations; biofilm; cellular processes; continuum models; discrete processes; multiple-species populations; multiscale models; quorum sensing molecule; stochastic processes; Biological system modeling; Bridges; Computational biology; Computational modeling; Continuous production; Differential equations; Medical simulation; Microorganisms; Signal processing; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference, 2007 Winter
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4244-1306-5
Electronic_ISBN :
978-1-4244-1306-5
Type :
conf
DOI :
10.1109/WSC.2007.4419684
Filename :
4419684
Link To Document :
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