Quantitative Modeling of Biochemical Networks

Article type: Research Article

Authors: Hofestädt, R. | Thelen, S.

Affiliations: University of Magdeburg, Department of Computer Science, Magdeburg, Germany | University of Bonn, Department of Computer Science, Bonn, Germany

Note: [] Corresponding author: Otto-von-Guericke-Universität Magdeburg, Institut für Technische und Betriebliche Informationssysteme, AG / Bioinformatik und Medizinische Informatik, Universitätsplatz 2, D-39106 Magdeburg, Germany, e-mail: [email protected]

Abstract: Today different database systems for molecular structures (genes and proteins) and metabolic pathways are available. All these systems are characterized by the static data representation. For progress in biotechnology the dynamic representation of this data is important. The metabolism can be characterized as a complex biochemical network. Different models for the quantitative simulation of biochemical networks are discussed, but no useful formalization is available. This paper shows that the theory of Petrinets is useful for the quantitative modeling of biochemical networks

Keywords: bioinformatics, biochemical networks, modeling and simulation, petrinets

Journal: In Silico Biology, vol. 1, no. 1, pp. 39-53, 1998