• DocumentCode
    2957905
  • Title

    High-Performance Interaction-Based Simulation of Gut Immunopathologies with ENteric Immunity Simulator (ENISI)

  • Author

    Bisset, Keith ; Alam, Md Maksudul ; Bassaganya-Riera, Josep ; Carbo, Adria ; Eubank, Stephen ; Hontecillas, Raquel ; Hoops, Stefan ; Mei, Yongguo ; Wendelsdorf, Katherine ; Xie, Dawen ; Yeom, Jae-Seung ; Marathe, Madhav

  • Author_Institution
    Virginia Bioinf. Inst., Virginia Tech, Blacksburg, VA, USA
  • fYear
    2012
  • fDate
    21-25 May 2012
  • Firstpage
    48
  • Lastpage
    59
  • Abstract
    Here we present the ENteric Immunity Simulator (ENISI), a modeling system for the inflammatory and regulatory immune pathways triggered by microbe-immune cell interactions in the gut. With ENISI, immunologists and infectious disease experts can test and generate hypotheses for enteric disease pathology and propose interventions through experimental infection of an in silico gut. ENISI is an agent based simulator, in which individual cells move through the simulated tissues, and engage in context-dependent interactions with the other cells with which they are in contact. The scale of ENISI is unprecedented in this domain, with the ability to simulate 107 cells for 250 simulated days on 576 cores in one and a half hours, with the potential to scale to even larger hardware and problem sizes. In this paper we describe the ENISI simulator for modeling mucosal immune responses to gastrointestinal pathogens. We then demonstrate the utility of ENISI by recreating an experimental infection of a mouse with Helicobacter pylori 26695. The results identify specific processes by which bacterial virulence factors do and do not contribute to pathogenesis associated with H. pylori strain 26695. These modeling results inform general intervention strategies by indicating immunomodulatory mechanisms such as those used in inflammatory bowel disease may be more appropriate therapeutically than directly targeting specific microbial populations through vaccination or by using antimicrobials.
  • Keywords
    biological tissues; cellular biophysics; digital simulation; diseases; medical computing; software agents; statistical testing; ENISI; Helicobacter pylori 26695; agent based simulator; bacterial virulence factors; context-dependent interactions; disease pathology; enteric immunity simulator; gastrointestinal pathogens; gut immunopathologies; high-performance interaction-based simulation; hypothesis testing; immunologists; immunomodulatory mechanisms; in silico gut infection; infectious disease; inflammatory bowel disease; inflammatory immune pathways; microbe-immune cell interactions; microbial populations; modeling system; mucosal immune response modeling; regulatory immune pathways; tissues; Automata; Biological system modeling; Diseases; Immune system; Mathematical model; Microorganisms; Scalability; Agent Based Simulation; BioComputing; Computational Immunology; Parallel Efficiency and Scalability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel & Distributed Processing Symposium (IPDPS), 2012 IEEE 26th International
  • Conference_Location
    Shanghai
  • ISSN
    1530-2075
  • Print_ISBN
    978-1-4673-0975-2
  • Type

    conf

  • DOI
    10.1109/IPDPS.2012.15
  • Filename
    6267823