Modeling and Simulation of Cellular Networks: Different Approaches for Different Problems
Integration of life sciences & engineering
Keynote Lectures: Theme-5
Keywords: Living cells, biochemical networks, modelling, simulation
The function of living cells is determined by complex biochemical networks composed from many different chemical species interacting in a small and structured spatial domain. Most conceptual differences in modelling and simulation of cellular networks – as compared to classical chemical reaction systems – arise from this characterization:
- intracellular crowding of molecules causes new effects
- physico-chemical parameters of the intracellular milieu are not well known
- molecular interaction networks are still not completely unravelled
- experimental data must be taken from the whole system
Systems Biology and Metabolic Engineering are concerned with unravelling and understanding the structure and regulation of cellular networks. Modeling and simulation play an important role in these disciplines because they provide predictive tools for an integrative and comprehensive description of the studied system. The talk surveys currently proposed approaches for modelling and simulation of cellular networks. It will be shown which approach might be the appropriate depending on system characteristics, focus of interest, and available data. This results in large variety of mathematical formalisms, methods and tools ranging from particle simulation, over space/time continuous models, to optimization based steady state predictions.
Presented Thursday 20, 09:00 to 09:45, in session Keynote Lectures: Theme-5 (T5-K1, K2).
