Analysis of resistant pathogens

The application of drugs induces an arms race with the pathogens or diseased cells the drugs are meant to keep in check. The more effective a compound, the stronger is the selective advantage of resistant strains once they arise. The ever-increasing number of resistant pathogens and relapse in therapies highlights the need for improved treatment regimens that prevent (or at least drastically slow down) the emergence of the underlying response mechanisms.

Our work aims at the development of models which aid the understanding of  the relevant stress response mechanisms and control  their impact on occurrence of resistance.  One important avenue is to model drug action in the context of network biology and the plasticity of the respective network structures. Building on these insights, we aim to model the efficacy of combination therapies and to develop methods that allow predictive modeling of different therapy regimens.