Multiscale modeling of mucosal immune responses

摘要: Computational modeling techniques are playing increasingly important roles in advancing a systems-level mechanistic understanding of biological processes. Computer simulations guide and underpin experimental clinical efforts. This study presents ENteric Immune Simulator (ENISI), multiscale tool for the mucosal immune responses. ENISI's environment can simulate silico experiments from molecular signaling pathways to tissue level events such as lesion formation. architecture integrates multiple technologies including ABM (agent-based modeling), ODE (ordinary differential equations), SDE (stochastic PDE (partial equations). paper focuses on implementation developmental challenges ENISI. A model responses during colonic inflammation, CD4+ T cell differentiation cell-cell interactions was developed illustrate capabilities, power scope ENISI MSM. becoming powerful tools systems greater needs. Biological inherently multiscale, molecules tissues nano-seconds lifespan several years or decades. MSM understand immunological processes within cells formation at level. examines summarizes technical details ENISI, its initial version latest cutting-edge implementation. Object-oriented programming approach is adopted develop suite based Multiple integrated visualize tissues, well proteins; furthermore, performance matching between scales addressed. We used developing predictive models system gut inflammation. Our predictions dissect mechanisms by which effector contribute damage mucosa following dysregulation.