Dynamic generation and qualitative analysis of metabolic pathways by a joint database/graph theoretical approach.
The dynamic generation and qualitative analysis of metabolic networks relying on continuously growing qualified metabolic data by a joint database/graph theoretical approach is described. The procedure is applied to analyze the connectivity of a metabolic network after enzyme removal and to subsequently perform shortest path analyses. The focus lies on the analysis of the connectivity of the metabolic network depending on model assumptions. Here we analyze the influence of the number of strongly connected components on the assignment of reversibility or irreversibility of the biochemical reactions.
Ehrentreich
F
F
Institut für Biochemie, Universität zu Köln, Zülpicher Strasse 47, 50674, Cologne, Germany. eet@rz.uni-potsdam.de
Schomburg
D
D
D000465:Algorithms; D016208:Databases, Factual; D004798:Enzymes / Q000378:metabolism; D004926:Escherichia coli / Q000378:metabolism; D006019:Glycolysis; D008660:Metabolism; D008954:Models, Biological; D008962:Models, Theoretical; D013379:Substrate Specificity
D004798:Enzymes