title: Hands-on metabolism analysis of complex biochemical networks using elementary flux modes.
abstract: The aim of this chapter is to discuss the basic principles and reasoning behind elementary flux mode analysis (EFM analysis)--an important tool for the analysis of metabolic networks. We begin with a short introduction into metabolic pathway analysis and subsequently outline in detail fundamentals of EFM analysis by way of a small example network. We discuss issues arising in the reconstruction of metabolic networks required for EFM analysis and how they can be circumvented. Subsequently, we analyze a more elaborate example network representing photosynthate metabolism. Finally, we give an overview of applications of EFM analysis in biotechnology and other fields and discuss issues arising when applying methods from metabolic pathway analysis to genome-scale metabolic networks.
authors.affiliation: Department of Bioinformatics, Friedrich Schiller University Jena, Jena, Germany.
authors.forename: Sascha
authors.initials: S
authors.lastname: Schäuble
authors.forename: Stefan
authors.initials: S
authors.lastname: Schuster
authors.forename: Christoph
authors.initials: C
authors.lastname: Kaleta
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D004926:Escherichia coli / Q000378:metabolism; D006801:Humans; D053858:Metabolic Networks and Pathways / Q000235:genetics; D008954:Models, Biological; D010788:Photosynthesis; D010944:Plants / Q000378:metabolism; D049490:Systems Biology