title: Estimation of metabolic pathway systems from different data sources.
abstract: Parameter estimation is the main bottleneck of metabolic pathway modelling. It may be addressed from the bottom up, using information on metabolites, enzymes and modulators, or from the top down, using metabolic time series data, which have become more prevalent in recent years. The authors propose here that it is useful to combine the two strategies and to complement time-series analysis with kinetic information. In particular, the authors investigate how the recent method of dynamic flux estimation (DFE) may be supplemented with other types of estimation. Using the glycolytic pathway in Lactococcus lactis as an illustration example, the authors demonstrate some strategies of such supplementation.
authors: Georgia Institute of Technology, Integrative BioSystems Institute and The Wallace H. Coulter Department of Biomedical Engineering, Atlanta, USA. eberhard.voit@bme.gatech.edu
authors: E O
authors: EO
authors: Voit
authors: G
authors: G
authors: Goel
authors: I-C
authors: IC
authors: Chou
authors: L L
authors: LL
authors: Fonseca
mesh_terms: D016208:Databases, Factual; D005636:Fructosephosphates / Q000378:metabolism; D019298:Glucose-6-Phosphate / Q000378:metabolism; D006019:Glycolysis / Q000502:physiology*; D007700:Kinetics; D013294:Lactococcus lactis / Q000378:metabolism; D008954:Models, Biological; D019906:Nuclear Magnetic Resonance, Biomolecular; D049490:Systems Biology / Q000379:methods*
chemical_list: D005636:Fructosephosphates; D019298:Glucose-6-Phosphate; C027618:fructose-6-phosphate