GranSim - A Computational Model of Granuloma Simulation (2D & 3D)

TECHNOLOGY NUMBER: 2021-038
Technology No. 2021-038

OVERVIEW

  • GranSim 2D and 3D Models Available
  • First released 2004, continually updated
  • Substantial Publication History

BACKGROUND

GranSim, the Agent-based model (ABM) describing tuberculosis (TB) granuloma formation and function in the lung, was developed based on four basic concepts: an environment (section of the lung parenchyma), agents (immune cells), ABM rules that govern the agents and their interactions, and the time-step used to update events. The attached documentation illustrates the details of how each of these features have been implemented in the form of a pseudocode. The model was first published in 2004 but has been continually updated to include the latest biological information and technological advances. 

GranSim is a hybrid agent-based computational model (ABM) that describes the formation and function of a granuloma during Mycobacterium tuberculosis infection in the lung. Although granulomas are 3D entities, due to the high computational costs associated to simulate a 3D version, GranSim has been developed and curated since 2004 only in 2D. This website and the recent manuscript [hyperlink here] illustrate our first attempt to simulate a 3D TB granuloma in the lung.


  • swap_vertical_circlemode_editInventor (4)
    Denise Kirschner
    Joe Ray
    Jose Segovia-Juarez
    Mohammed El-Kebir
  • swap_vertical_circlelibrary_booksReferences (1)
    1. Segovia-Juarez J, Ganguli S, and Kirschner D. , Identifying control mechanisms of granuloma formation during M. tuberculosis infection using an agent-based model. J Theor Biol . 2004 Dec 7;231(3):357-76. doi: 10.1016/j.jtbi.2004.06.031.
  • swap_vertical_circlecloud_downloadSupporting documents (1)
    Product brochure
    GranSim - A Computational Model of Granuloma Simulation (2D & 3D).pdf
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