• DocumentCode
    3714467
  • Title

    ENISI multiscale modeling of mucosal immune responses driven by high performance computing

  • Author

    Vida Abedi;Raquel Hontecillas;Stefan Hoops;Nathan Liles;Adria Carbo;Pinyi Lu;Casandra Philipson;Josep ABassaganya-Riera

  • Author_Institution
    Nutritional Immunology and Molecular Medicine Laboratory, Virginia Bioinformatics Institute, Virginia Tech, 1015 Life Science Circle, 24061 Blacksburg, USA
  • fYear
    2015
  • Firstpage
    680
  • Lastpage
    684
  • Abstract
    Computational modeling tools have increasingly important roles in our understanding of biological processes. Computer simulations guide experimental and clinical efforts in an unprecedented rate. This study presents ENteric Immunity Simulator - multiscale modeling (MSM) platform developed for high performance computing (HPC). ENISI MSMv2 is designed for modeling mucosal immune responses. The system scales to 109 agents in HPC simulations. This is an important step towards building large scale information processing representations of immune responses that integrate multiple modeling technologies and spatiotemporal scales ranging from nanoseconds to years and from molecules to systems. Our HPC-driven ENISI MSM platform combines the study of molecular pathways controlling T cell differentiation and tissue level interactions between cells to characterize novel mechanisms of immunoregulation at the gut mucosa.
  • Keywords
    "Computational modeling","Immune system","Load modeling","Biological system modeling","Heating"
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine (BIBM), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/BIBM.2015.7359768
  • Filename
    7359768