Over the years, we have worked on many different systems, including signal transduction (two-component signalling, MAPK, GPCRs), metabolic control, and molecular stochasticity. We always try to keep the mathematical models we develop as realistic as possible. In recent years, the projects have become more experimental. In fact, many of the researchers active in the group at the moment are spending most of their time in the lab. Still, we have strong experimental collaborations.
Our approach always involves mathematical modelling. Models are used to guide experimental design and obtain mechanistic understanding. The types models we make depend on the research question. We have experience with deterministic as well as stochastic models and genome-scale stoichiometric models.
Here follows an overview of the current projects and how we are integrating mathematical models and experiments:<