Mathematical Modelling of Cellular Processes


Head of the Group

Dr. Jana Wolf

31.1: Max Delbrück House (Hochbau)

Room 5016

Tel. 9406-2641

Fax. 9406-2394


Complex diseases are often characterised by an accumulation of multiple perturbations in rather large and complex cellular networks. The consequences of these perturbations, such as mutations or over-expression of proteins, can hardly be analysed by pure reasoning. Here, mathematical modelling contributes to a deeper understanding of the regulatory systems and provides thus a better basis for the interpretation of high-throughput data and identification of effective drug targets.


Our group develops and analyses mathematical models of signalling pathways and gene-regulatory networks in normal and disease states. For our investigations we use tools such as simulations, bifurcation analyses and sensitivity analyses. These give insights into the dynamical properties of the systems and help to identify most sensitive processes and critical regulations. Another important aspect is the investigation of cell specific differences in signalling and gene-regulatory networks since these are critically involved in the prediction of the efficiency and possible side-effects of drugs.


Figure: Using quantified experimental data to establish and calibrate mathematical models to analyze signaling networks [illustrations from Mothes et al, Bioessays 37(4):452-62].