Projekt

The project tackles concepts as well as numerical and analytic methods that allow for a refined understanding of the evolution of biochemical networks. The aim is a computer simulation for adaptive and neutral evolution of complex chemical reaction networks including the catalyzing enzymes and their regulation. The corresponding mathematical methods will be refined, in particular about hypergraphs, combinatorial vector fields, and network dynamics. These numerical as well as purely mathematical studies focus on two model systems: Metabolic networks which are more general than graphmodels, and Boolean networks as abstract models of regulatory networks conveying a non-trivial dynamics on their nodes. Drawing from the expected insights into evolution of networks, a further clarification of conceptual issues is envisaged, in particular robustness of function under evolving structure.

• Prof. Dr. Peter F. Stadler

  Universität Leipzig
  Institut für Informatik
  Lehrstuhl für Bioinformatik
  Leipzig
  

• Dr. Konstantin Klemm

  Universität Leipzig
  Institut für Informatik
  Lehrstuhl für Bioinformatik
  Leipzig
  

• Prof. Dr. Jürgen Jost

  Max-Planck-Institut für Mathematik
  in den Naturwissenschaften
  Abt. Geometrische Methoden
  Leipzig
  

• Prof. Dr. Nihat Ay

  Max-Planck-Institut für Mathematik
  in den Naturwissenschaften
  Research Group "Information Theory of Cognitive
  Systems"
  Leipzig
  

• Dr. Eckehard Olbrich

  Max-Planck-Institut für Mathematik
  in den Naturwissenschaften
  Research Group Complex Structures in Biology and
  Cognition
  Leipzig