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INTRODUCTION TO SYSTEM BIOLOGY<br> Introduction<br> Modeling of Biochemical Systems<br> Structural Modeling and Analysis of Biochemical Networks<br> Kinetic Models of Biochemical Networks Introduction<br> Data Formats, Simulation Techniques, and Modeling Tools<br> Model Fitting, Reduction, and Coupling<br> Discrete, Stochastic, and Spatial Models<br> Network Structures, Dynamics and Function<br> Gene Expression Models<br> Variability, Robustness, and Information<br> Evolution and Optimality<br> Models of Biochemical Systems <br> <br> REFERENCE SECTION<br> Cell Biology <br> Experimental Techniques <br> Mathematical and Physical Concepts<br> Databases <br> Software Tools for Modeling<br>

Edda Klipp (born 1965) studied theoretical biophysics at the Humboldt University Berlin. A member of the Yeast Systems Biology Network, her research interests include mathematical modeling of cellular systems, signal transduction, systems biology, and text mining. <br> <br> Wolfram Liebermeister (born 1972) studied physics in Tubingen and Hamburg and obtained a PhD of theoretical biophysics at the Humboldt University of Berlin. In his works on complex biological systems, he points out functional aspects like variability, information, and optimality.<br> <br> Christoph Wierling (born 1973) studied biology at the University of Munster and recently obtained a PhD degree on the modeling and simulation of biological systems.<br> <br> Axel Kowald (born 1963) holds a PhD in mathematical biology from the National Institute for Medical Research, London. His current research interests focus on the mathematical modeling of processes involved in the biology of aging and systems biology.

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