title: Advancing metabolic models with kinetic information.
abstract: Kinetic models are crucial to quantitatively understand and predict how functional behavior emerges from dynamic concentration changes of cellular components. The current challenge is on resolving uncertainties about parameter values of reaction kinetics. Additionally, there are also major structural uncertainties due to unknown molecular interactions and only putatively assigned regulatory functions. What if one or few key regulators of biochemical reactions are missing in a metabolic model? By reviewing current advances in building kinetic models of metabolism, we found that such models experience a paradigm shift away from fitting parameters towards identifying key regulatory interactions.
authors.affiliation: Institute of Molecular Systems Biology, ETH Zurich, Auguste-Piccard-Hof 1, 8093 Zurich, Switzerland.
authors.forename: Hannes
authors.initials: H
authors.lastname: Link
authors.affiliation: Institute of Molecular Systems Biology, ETH Zurich, Auguste-Piccard-Hof 1, 8093 Zurich, Switzerland; Life Science Zurich PhD Program on Systems Biology, Zurich, Switzerland.
authors.forename: Dimitris
authors.initials: D
authors.lastname: Christodoulou
authors.affiliation: Institute of Molecular Systems Biology, ETH Zurich, Auguste-Piccard-Hof 1, 8093 Zurich, Switzerland. Electronic address: sauer@imsb.biol.ethz.ch.
authors.forename: Uwe
authors.initials: U
authors.lastname: Sauer
mesh_terms: D000494:Allosteric Regulation; D005786:Gene Expression Regulation; D006801:Humans; D007700:Kinetics; D008954:Models, Biological; D015398:Signal Transduction; D014158:Transcription, Genetic