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Reaction-Kinetic Modeling of Photorespiration Using Modelbase.
Nies, Tim; van Aalst, Marvin.
Affiliation
  • Nies T; Quantitative and Theoretical Biology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
  • van Aalst M; Quantitative and Theoretical Biology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany. marvin.van.aalst@hhu.de.
Methods Mol Biol ; 2792: 223-240, 2024.
Article in En | MEDLINE | ID: mdl-38861091
ABSTRACT
Plant science has become more and more complex. With the introduction of new experimental techniques and technologies, it is now possible to explore the fine details of plant metabolism. Besides steady-state measurements often applied in gas-exchange or metabolomic analyses, new approaches, e.g., based on 13C labeling, are now available to understand the changes in metabolic concentrations under fluctuating environmental conditions in the field or laboratory. To explore those transient phenomena of metabolite concentrations, kinetic models are a valuable tool. In this chapter, we describe ways to implement and build kinetic models of plant metabolism with the Python software package modelbase. As an example, we use a part of the photorespiratory pathway. Moreover, we show additional functionalities of modelbase that help to explore kinetic models and thus can reveal information about a biological system that is not easily accessible to experiments. In addition, we will point to extra information on the mathematical background of kinetic models to give an impetus for further self-study.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Plants / Software / Models, Biological Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2024 Document type: Article Affiliation country: Alemania Country of publication: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Plants / Software / Models, Biological Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2024 Document type: Article Affiliation country: Alemania Country of publication: Estados Unidos