A method for estimation of elasticities in metabolic networks using steady state and dynamic metabolomics data and linlog kinetics

• Published in: BMC bioinformatics Vol. 7; no. 1; p. 540
• Main Authors: Nikerel, I Emrah, van Winden, Wouter A, van Gulik, Walter M, Heijnen, Joseph J
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 21.12.2006; BioMed Central; BMC
• Subjects: Algorithms; Glucose - metabolism; Glycolysis - physiology; Kinetics; Linear Models; Metabolic Clearance Rate; Models, Biological; Proteome - metabolism; Saccharomyces cerevisiae; Saccharomyces cerevisiae - metabolism; Saccharomyces cerevisiae Proteins - metabolism

Dynamic modeling of metabolic reaction networks under in vivo conditions is a crucial step in order to obtain a better understanding of the (dis)functioning of living cells. So far dynamic metabolic models generally have been based on mechanistic rate equations which often contain so many parameters...