• 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