Around 2002 I became increasingly aware of the need for a novel concept to analyze the massively growing set of genomics and proteomics data, and realized that network descriptions are very useful for this purpose. From 2003 I have developed several concepts, which characterize most if not all complex systems, such as the stabilizing role of inter-modular weak links; the role of 'creative nodes' and plasticity/rigidity shifts in the adaptation of complex systems, as well as the duality of core and periphery responses in network decision making processes. In the last 10 years the LINK-Group developed several novel algorithms downloadable from this website to analyze network topology and dynamics. We defined novel, dynamic network centrality measures, and are able to identify key nodes of network signaling and cooperation. We use this knowledge to predict and influence the positition of complex systems and their attractors in the state-space. We apply our methods to propose and rank novel drug targets, as well as to predict drug side effects or chances for drug repositioning.
Other honors and awards
Publications (November 2016)
(I had to open a new page, since my original Facebook page reached the 5000 contact upper limit.)