Using Kinetic Modelling to Infer Adaptations in <i>Saccharomyces cerevisiae</i> Carbohydrate Storage Metabolism to Dynamic Substrate Conditions.

Lao-Martil, David; Verhagen, Koen J A; Valdeira Caetano, Ana H; Pardijs, Ilse H; van Riel, Natal A W; Wahl, S Aljoscha

Using Kinetic Modelling to Infer Adaptations in Saccharomyces cerevisiae Carbohydrate Storage Metabolism to Dynamic Substrate Conditions.

Lao-Martil, David; Verhagen, Koen J A; Valdeira Caetano, Ana H; Pardijs, Ilse H; van Riel, Natal A W; Wahl, S Aljoscha.

Afiliación

Lao-Martil D; Department of Biomedical Engineering, Eindhoven University of Technology, Groene Loper 5, 5612 AE Eindhoven, The Netherlands.
Verhagen KJA; Department of Biotechnology, Delft University of Technology, Van der Maasweg 9, 2629 HZ Delft, The Netherlands.
Valdeira Caetano AH; Department of Biotechnology, Delft University of Technology, Van der Maasweg 9, 2629 HZ Delft, The Netherlands.
Pardijs IH; Department of Biotechnology, Delft University of Technology, Van der Maasweg 9, 2629 HZ Delft, The Netherlands.
van Riel NAW; Department of Biomedical Engineering, Eindhoven University of Technology, Groene Loper 5, 5612 AE Eindhoven, The Netherlands.
Wahl SA; Amsterdam University Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands.

Metabolites ; 13(1)2023 Jan 05.

Article en En | MEDLINE | ID: mdl-36677014

Palabras clave

Saccharomyces cerevisiae; adaptation; carbon storage metabolism; glucose transport; kinetic modeling; parameter estimation; repeated substrate perturbation regime

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Metabolites Año: 2023 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Suiza

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