title: Nested uncertainties in biochemical models.
abstract: Dynamic modelling of biochemical reaction networks has to cope with the inherent uncertainty about biological processes, concerning not only data and parameters but also kinetics and structure. These different types of uncertainty are nested within each other: uncertain network structures contain uncertain reaction kinetics, which in turn are governed by uncertain parameters. Here, the authors review some issues arising from such uncertainties and sketch methods, solutions and future directions to deal with them.
authors.affiliation: Humboldt University Berlin, Institute for Biology, Theoretical Biophysics, Berlin, Germany.
authors.forename: J
authors.initials: J
authors.lastname: Schaber
authors.forename: W
authors.initials: W
authors.lastname: Liebermeister
authors.forename: E
authors.initials: E
authors.lastname: Klipp
mesh_terms: D000465:Algorithms; D001499:Bayes Theorem; D001669:Biochemical Phenomena; D003198:Computer Simulation; D016247:Information Storage and Retrieval; D007700:Kinetics; D008954:Models, Biological; D008956:Models, Chemical; D012984:Software; D049490:Systems Biology / Q000379:methods*; D013816:Thermodynamics; D035501:Uncertainty