![]() Knowing the kinetic parameters, the simulation of time evolution of such models can help to study the dynamic behavior of the underlying system. ![]() In particular, PN allows the topological analysis based on structural properties, which is important and useful when quantitative (kinetic) data are incomplete or unknown. Pavel Balazki1,2, Klaus Lindauer2, Jens Einloft1, Jörg Ackermann1 and Ina Koch1*īackground: The concept of Petri nets (PN) is widely used in systems biology and allows modeling of complex biochemical systems like metabolic systems, signal transduction pathways, and gene expression networks. MonaLisa for stochastic simulations of Petri net models of biochemical systems
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