Projekt

The goal of the project is to develop new concepts and analytic tools that allow for a refined understanding of the evolution of dynamical networks. In particular, an enhanced insight into the mechanisms that shape the structure of gene-regulatory networks is intended. To this end, evolutionary scenarios are analyzed under predefined constraints on network structure and dynamical behavior. Particular attention is given to the evolution of robustness, complexity and adaptability. For these fundamental systems characteristics rigorous quantitative definitions are derived in an information theoretic framework. In such a way the relationship between structure and function can be addressed in depth. The project employs methods ranging from computer simulations to rigorous mathematical analysis at various levels of abstraction, including evolutionary models of binding sites and interactions at DNA level.

• 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
  

• 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