title: Quantitative modeling of biochemical networks.
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.
authors.affiliation: University of Magdeburg, Department of Computer Science, Magdeburg, Germany. hofestaedt@iti.cs.uni-magdeburg.de
authors.forename: R
authors.initials: R
authors.lastname: Hofestädt
authors.forename: S
authors.initials: S
authors.lastname: Thelen
mesh_terms: D001669:Biochemical Phenomena; D001671:Biochemistry; D001709:Biotechnology; D002384:Catalysis; D019295:Computational Biology; D003198:Computer Simulation; D016208:Databases, Factual; D006019:Glycolysis; D008954:Models, Biological; D015202:Protein Engineering