IJBBB 2017 Vol.7(4): 221-229 ISSN: 2010-3638
doi: 10.17706/ijbbb.2017.7.4.221-229
doi: 10.17706/ijbbb.2017.7.4.221-229
Advantages of Petri-Net Modeling and Simulation for Biological Networks
Ralf Hofestädt
Abstract—During the last 20 years Petri-Nets have attracted more and more attention to help to model and
simulate biological networks. To model the identified features of cellular processing it was necessary to
extend the basic definition of Petri-Nets. Regarding the published papers, it seems clear that hybrid
functional Petri-Nets are the adequate method to model complex biological networks today. Furthermore,
different higher Petri-Nets are available to realize the adequate modeling of cellular processes. This paper
will present the advantages of Petri-Nets for modeling and simulation of biological networks.
Index Terms—Biological networks, modeling, Petri-Nets, simulation.
Ralf Hofestädt is with Bielefeld University, AG Bioinformatics, Universitätsstr. 25, 33615 Bielefeld, Germany (email: ralf.hofestaedt@uni-bielefeld.de).
Index Terms—Biological networks, modeling, Petri-Nets, simulation.
Ralf Hofestädt is with Bielefeld University, AG Bioinformatics, Universitätsstr. 25, 33615 Bielefeld, Germany (email: ralf.hofestaedt@uni-bielefeld.de).
Cite: Ralf Hofestädt, "Advantages of Petri-Net Modeling and Simulation for Biological Networks," International Journal of Bioscience, Biochemistry and Bioinformatics vol. 7, no. 4, pp. 221-229, 2017.
General Information
ISSN: 2010-3638 (Online)
Abbreviated Title: Int. J. Biosci. Biochem. Bioinform.
Frequency: Quarterly
DOI: 10.17706/IJBBB
Editor-in-Chief: Prof. Ebtisam Heikal
Abstracting/ Indexing: Electronic Journals Library, Chemical Abstracts Services (CAS), Engineering & Technology Digital Library, Google Scholar, and ProQuest.
E-mail: ijbbb@iap.org
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