title: Petri nets in Snoopy: a unifying framework for the graphical display, computational modelling, and simulation of bacterial regulatory networks.
abstract: Using the example of phosphate regulation in enteric bacteria, we demonstrate the particular suitability of stochastic Petri nets to model biochemical phenomena and their simulative exploration by various features of the software tool Snoopy.
authors.affiliation: Otto von Guericke University & Magdeburg Centre for Systems Biology, c/o Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany.
authors.forename: Wolfgang
authors.initials: W
authors.lastname: Marwan
authors.forename: Christian
authors.initials: C
authors.lastname: Rohr
authors.forename: Monika
authors.initials: M
authors.lastname: Heiner
mesh_terms: D001419:Bacteria / Q000378:metabolism*; D019295:Computational Biology / Q000379:methods*; D003198:Computer Simulation; D055641:Mathematical Concepts; D053858:Metabolic Networks and Pathways / Q000235:genetics*; D008954:Models, Biological; D010710:Phosphates / Q000378:metabolism*; D012984:Software; D049490:Systems Biology / Q000379:methods*
chemical_list: D010710:Phosphates