Large scale agent-based modeling of the humoral and cellular immune response

摘要: The Immune System is, together with Central Nervous System, one of the most important and complex unit our organism. Despite great advances in recent years that shed light on its understanding unraveling key mechanisms behind functions, there are still many areas remain object active research. development in-silico models, bridged proper biological considerations, have recently improved systems [1,2]. In this paper, after introducing major role players principal functions mammalian we present two computational approaches to modeling; i.e., insilico Systems. (i) A large-scale model, a complexity representation 106 - 108 cells (e.g., APC, T, B Plasma cells) molecules immunocomplexes), is here presented, evolution time shown be mimicking an region real immune response. (ii) Additionally, viral infection stochastic light-weight, presented as well: seamless design from modularity fast simulation times strength points when compared (i). Finally report, intent moving towards virtual lymph note, cost-benefits comparison among models paper.