Systems Modeling of Infection

Multiscale models that can integrate data from the levels of genes and proteins to a full cell, to collections of cells within a tissue, and ultimately to tissues and organs, is a grand challenge for systems biology. These kinds of models will be capable of predicting how perturbations at one level of scale, such as gene expression, affect important outcomes at other levels of scale, like phenotype and function.

The Allen Discovery Center for Multiscale, Systems Modeling of Macrophage Infection at Stanford University was announced in 2016 to drive progress in cutting-edge cell systems modeling to understand the complex multicellular basis of infectious disease.