Novel systems biology research for a personalized medicine in cancer

The solution of many medically important aspects depends on the prediction of the behaviour of complex networks, e.g. biological networks active within a tumor but also in other tissues of a patient under complex conditions, for example a particular therapy. So far, it is not possible to predict the success of a specific therapy for a specific patient. We are sequencing the genome of individual cancer patients as well as the genome and transcriptome of their tumor as a basis of a virtual-patient-model, used to predict effect and side effects of specific therapies on the individual patient.