Analysis of large-scale metabolic networks [Elektronische Ressource] : organization theory, phenotype prediction and elementary flux patterns / von Christoph Kaleta

Analysis of Large-Scale MetabolicNetworks: Organization Theory,Phenotype Prediction and ElementaryFlux PatternsDissertationzur Erlangung des akademischen Gradesdoctor rerum naturalium (Dr. rer. nat.)vorgelegt dem Rat der Biologisch-Pharmazeutischen Fakult¨atder Friedrich-Schiller-Universit¨at Jenavon Diplom-Bioinformatiker Christoph Kaletageboren am 16. Mai 1983 in Weimar, DeutschlandGutachter:1. Prof. Dr. Stefan Schuster (Universit¨at Jena)2. PD Dr. Peter Dittrich (Universit¨at Jena)3. Prof. Dr. Joachim Selbig (Universit¨at Potsdam)Tag der off¨ entlichen Verteidigung: 22.3.2010Die vorliegende Arbeit wurde am Lehrstuhl fur¨ Bioinformatik der Biologisch-PharmazeutischenFakult¨atderFriedrich-Schiller-Universit¨atJenaunterderLeitungvon Prof. Dr. Stefan Schuster und in der Biosystemanalysegruppe unter derLeitung von PD Dr. Peter Dittrich angefertigt.1AbstractUnderstanding the function and control of metabolic networks is one of the cen-tral topics in systems biology. The metabolic network allows an organism torecreate all of its components from molecules that can be found in its environ-ment. Due to the inherent complexity of such networks different methods aimedat analysing their structure have been proposed. The methods used here can bebroadlydividedintotwotypes. Thefirsttypecomprisesflux-centeredapproacheslike elementary mode analysis, the closely related extreme pathway analysis andfluxbalanceanalysis.