caa a22 4500 445843152 CHVBK 20180317145351.0 cr unu---uuuuu 170323e20110601xx s 000 0 eng 10.1007/s11047-009-9152-x doi (NATIONALLICENCE)springer-10.1007/s11047-009-9152-x Petri nets as a framework for the reconstruction and analysis of signal transduction pathways and regulatory networks [Elektronische Daten] [Wolfgang Marwan, Annegret Wagler, Robert Weismantel] Petri nets are directed, weighted bipartite graphs that have successfully been applied to the systems biology of metabolic and signal transduction pathways in modeling both stochastic (discrete) and deterministic (continuous) processes. Here we exemplify how molecular mechanisms, biochemical or genetic, can be consistently respresented in the form of place/transition Petri nets. We then describe the application of Petri nets to the reconstruction of molecular and genetic networks from experimental data and their power to represent biological processes with arbitrary degree of resolution of the subprocesses at the cellular and the molecular level. Petri nets are executable formal language models that permit the unambiguous visualization of regulatory mechanisms, and they can be used to encode the results of mathematical algorithms for the reconstruction of causal interaction networks from experimental time series data. Springer Science+Business Media B.V., 2009 Hierarchical Petri net nationallicence Network reconstruction nationallicence Automatic network reconstruction nationallicence Formal language nationallicence Systems biology nationallicence Marwan Wolfgang Magdeburg Centre for Systems Biology (MaCS), Otto-von-Guericke-Universität, Magdeburg, Germany aut Wagler Annegret Magdeburg Centre for Systems Biology (MaCS), Otto-von-Guericke-Universität, Magdeburg, Germany aut Weismantel Robert Magdeburg Centre for Systems Biology (MaCS), Otto-von-Guericke-Universität, Magdeburg, Germany aut Natural Computing Springer Netherlands 10/2(2011-06-01), 639-654 1567-7818 10:2<639 2011 10 11047 https://doi.org/10.1007/s11047-009-9152-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11047-009-9152-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Marwan Wolfgang Magdeburg Centre for Systems Biology (MaCS), Otto-von-Guericke-Universität, Magdeburg, Germany aut NATIONALLICENCE 700 1- Wagler Annegret Magdeburg Centre for Systems Biology (MaCS), Otto-von-Guericke-Universität, Magdeburg, Germany aut NATIONALLICENCE 700 1- Weismantel Robert Magdeburg Centre for Systems Biology (MaCS), Otto-von-Guericke-Universität, Magdeburg, Germany aut NATIONALLICENCE 773 0- Natural Computing Springer Netherlands 10/2(2011-06-01), 639-654 1567-7818 10:2<639 2011 10 11047 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer