Enhancing genome-scale metabolic models with kinetic data: resolving growth and citramalate production trade-offs in Escherichia coli.

Acknowledgements: The authors are grateful to Andrew Yakoumetti and Charlotte Green, University of Nottingham, UK, for their work to determine the values of the kinetic parameters in (10), and, especially, Andrew Yakoumetti for helpful discussions.

Publication Details

Journal
Apollo (University of Cambridge)
Published
2025-01-01
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

Enhancing genome-scale metabolic models with kinetic data: resolving growth and citramalate production trade-offs in Escherichia coli.

Apollo (University of Cambridge)
Geochemistry and Geologic Mapping
article

Enhancing genome-scale metabolic models with kinetic data: resolving growth and citramalate production trade-offs in Escherichia coli.

article en

Abstract

Acknowledgements: The authors are grateful to Andrew Yakoumetti and Charlotte Green, University of Nottingham, UK, for their work to determine the values of the kinetic parameters in (10), and, especially, Andrew Yakoumetti for helpful discussions.

Apollo (University of Cambridge)
Wellcome Trust, Ministerio de Ciencia e Innovación, Directorate for Biological Sciences, Agencia Estatal de Investigación
Openalex Percentile: Top 65%
Geochemistry and Geologic Mapping
Open Access PDFOpenAlex
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Enhancing genome-scale metabolic models with kinetic data: resolving growth and citramalate production trade-offs in Escherichia coli. · Apollo (University of Cambridge) (2025) | TGRS Research Map | TGRS