In this course students will learn about and implement a physiological model of a cell then propose their own improvements and additions inspired by their research interests.
A large amount of work has been devoted to the mathematical and computational modeling of specific cellular processes. As accurate as these models may be, their isolation from the physiological cellular context hampers the study of the role they can play in global cellular behaviors. A cell model is an aggregate of mathematical representations of cellular subprocesses (e.g. translation, protein maturation, etc.) [see an example of a cell model]. Of course, such sub models need to be validated against experimental data. Eventually, we expect the aggregate model to explain high level behaviors of a cell like the growth rate. During this hands-on workshop, such a model will be realized.