title: Simultaneous parameters identifiability and estimation of an E. coli metabolic network model.
abstract: This work proposes a procedure for simultaneous parameters identifiability and estimation in metabolic networks in order to overcome difficulties associated with lack of experimental data and large number of parameters, a common scenario in the modeling of such systems. As case study, the complex real problem of parameters identifiability of the Escherichia coli K-12 W3110 dynamic model was investigated, composed by 18 differential ordinary equations and 35 kinetic rates, containing 125 parameters. With the procedure, model fit was improved for most of the measured metabolites, achieving 58 parameters estimated, including 5 unknown initial conditions. The results indicate that simultaneous parameters identifiability and estimation approach in metabolic networks is appealing, since model fit to the most of measured metabolites was possible even when important measures of intracellular metabolites and good initial estimates of parameters are not available.
authors: Programa de Engenharia Química-COPPE, Universidade Federal do Rio de Janeiro, Cidade Universitária, 21941-972 Rio de Janeiro, BR, Brazil.
authors: Kese
authors: 0000-0002-6210-5698
authors: K
authors: Pontes Freitas Alberton
authors: Instituto de Química, Universidade do Estado do Rio de Janeiro, São Francisco Xavier 524, 20550-900 Rio de Janeiro, BR, Brazil.
authors: André Luís
authors: AL
authors: Alberton
authors: Planta Piloto de Ingeniería Química-CONICET, Universidad Nacional del Sur, Camino La Carrindanga, Km 7, 8000 Bahía Blanca, Argentina.
authors: Jimena Andrea
authors: JA
authors: Di Maggio
authors: Planta Piloto de Ingeniería Química-CONICET, Universidad Nacional del Sur, Camino La Carrindanga, Km 7, 8000 Bahía Blanca, Argentina.
authors: Vanina Gisela
authors: VG
authors: Estrada
authors: Planta Piloto de Ingeniería Química-CONICET, Universidad Nacional del Sur, Camino La Carrindanga, Km 7, 8000 Bahía Blanca, Argentina.
authors: María Soledad
authors: MS
authors: Díaz
authors: Programa de Engenharia Química-COPPE, Universidade Federal do Rio de Janeiro, Cidade Universitária, 21941-972 Rio de Janeiro, BR, Brazil.
authors: Argimiro Resende
authors: AR
authors: Secchi
mesh_terms: D002244:Carbon / Q000378:metabolism; D048168:Escherichia coli K12 / Q000378:metabolism*; D053858:Metabolic Networks and Pathways; D008954:Models, Biological; D009716:Numerical Analysis, Computer-Assisted
chemical_list: D002244:Carbon
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