Predictions from constraint-based approaches including enzyme kinetics

Dissertation, Universität Potsdam, 2020

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Küken, Anika (VerfasserIn)
Körperschaft: Universität Potsdam (Grad-verleihende Institution)
Weitere Verfasser: Willmitzer, Lothar (AkademischeR BetreuerIn), Nikoloski, Zoran (AkademischeR BetreuerIn), Maranas, Costas D. (AkademischeR BetreuerIn), Ebenhöh, Oliver (AkademischeR BetreuerIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Potsdam 14. Februar 2020
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Dissertation, Universität Potsdam, 2020
The metabolic state of an organism reflects the entire phenotype that is jointly affected by genetic and environmental changes. Due to the complexity of metabolism, system-level modelling approaches have become indispensable tools to obtain new insights into biological functions. In particular, simulation and analysis of metabolic networks using constraint-based modelling approaches have helped the analysis of metabolic fluxes. However, despite ongoing improvements in prediction of reaction flux through a system, approaches to directly predict metabolite concentrations from large-scale metabolic networks remain elusive. In this thesis, we present a computational approach for inferring concentration ranges from genome-scale metabolic models endowed with mass action kinetics. The findings specify a molecular mechanism underling facile control of concentration ranges for components in large-scale metabolic networks. Most importantly, an extended version of the approach can be used to predict concentration ranges without knowledge of ...
Beschreibung:1 Band (verschiedene Seitenzählungen)
Illustrationen, Diagramme