Systems Biology is a powerful tool widely used to analyze in silico complex biological systems and subsystems, to understand the cellular behavior at the system-level; what kind of interactions are between cellular components and how are these networks organized and reorganized under different pressures, such as harsh environmental conditions, culture medium and even genetic modifications. In the present study the applications of constraint-based metabolic models and systems biology in metabolic engineering are discussed. Using these approaches the production potential of succinic acid from renewable resources (glucose or glycerol in minimal media) in Escherichia coli is analyzed. Simulations are made to determine which competitive pathways should be modified to reroute the carbon flux toward succinic acid and to determine the environmental conditions and metabolic engineering effects on cell metabolism. During the experiments different in silico and in vivo methods have been implemented to model, analyze, optimize and predict the metabolic behavior of E. coli.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Systems Biology is a powerful tool widely used to analyze in silico complex biological systems and subsystems, to understand the cellular behavior at the system-level; what kind of interactions are between cellular components and how are these networks organized and reorganized under different pressures, such as harsh environmental conditions, culture medium and even genetic modifications. In the present study the applications of constraint-based metabolic models and systems biology in metabolic engineering are discussed. Using these approaches the production potential of succinic acid from renewable resources (glucose or glycerol in minimal media) in Escherichia coli is analyzed. Simulations are made to determine which competitive pathways should be modified to reroute the carbon flux toward succinic acid and to determine the environmental conditions and metabolic engineering effects on cell metabolism. During the experiments different in silico and in vivo methods have been implemented to model, analyze, optimize and predict the metabolic behavior of E. coli. 188 pp. Englisch. N° de réf. du vendeur 9786204750248
Quantité disponible : 2 disponible(s)
Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. N° de réf. du vendeur 26397320795
Quantité disponible : 4 disponible(s)
Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bodor ZsoltZsolt Bodor is an Assistant Professor at SAPIENTIA Hungarian University of Transylvania. He received a BSc from the Sapientia University in 2009, later on he earned his MSc in 2011 and PhD in 2014 from the University POLIT. N° de réf. du vendeur 607191109
Quantité disponible : Plus de 20 disponibles
Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. Print on Demand. N° de réf. du vendeur 400104836
Quantité disponible : 4 disponible(s)
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. PRINT ON DEMAND. N° de réf. du vendeur 18397320785
Quantité disponible : 4 disponible(s)
Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. SYSTEMS BIOLOGY Constraint - Based Modeling of Metabolic Networks | In silico Analysis, Modeling and Engineering of Escherichia Coli Metabolic Network for Succinic Acid Production | Zsolt Bodor | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786204750248 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 121983336
Quantité disponible : 5 disponible(s)
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. Neuware -Systems Biology is a powerful tool widely used to analyze in silico complex biological systems and subsystems, to understand the cellular behavior at the system-level; what kind of interactions are between cellular components and how are these networks organized and reorganized under different pressures, such as harsh environmental conditions, culture medium and even genetic modifications. In the present study the applications of constraint-based metabolic models and systems biology in metabolic engineering are discussed. Using these approaches the production potential of succinic acid from renewable resources (glucose or glycerol in minimal media) in Escherichia coli is analyzed. Simulations are made to determine which competitive pathways should be modified to reroute the carbon flux toward succinic acid and to determine the environmental conditions and metabolic engineering effects on cell metabolism. During the experiments different in silico and in vivo methods have been implemented to model, analyze, optimize and predict the metabolic behavior of E. coli.Books on Demand GmbH, Überseering 33, 22297 Hamburg 188 pp. Englisch. N° de réf. du vendeur 9786204750248
Quantité disponible : 2 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Systems Biology is a powerful tool widely used to analyze in silico complex biological systems and subsystems, to understand the cellular behavior at the system-level; what kind of interactions are between cellular components and how are these networks organized and reorganized under different pressures, such as harsh environmental conditions, culture medium and even genetic modifications. In the present study the applications of constraint-based metabolic models and systems biology in metabolic engineering are discussed. Using these approaches the production potential of succinic acid from renewable resources (glucose or glycerol in minimal media) in Escherichia coli is analyzed. Simulations are made to determine which competitive pathways should be modified to reroute the carbon flux toward succinic acid and to determine the environmental conditions and metabolic engineering effects on cell metabolism. During the experiments different in silico and in vivo methods have been implemented to model, analyze, optimize and predict the metabolic behavior of E. coli. N° de réf. du vendeur 9786204750248
Quantité disponible : 1 disponible(s)