Maximization of non-idle enzymes improves the coverage of the estimated maximal in vivo enzyme catalytic rates in Escherichia coli

MOTIVATION: Constraint-based modeling approaches allow the estimation of maximal in vivo enzyme catalytic rates that can serve as proxies for enzyme turnover numbers. Yet, genome-scale flux profiling remains a challenge in deploying these approaches to catalogue proxies for enzyme catalytic rates ac...

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Detalles Bibliográficos
Autores principales: Xu, Rudan, Razaghi-Moghadam, Zahra, Nikoloski, Zoran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10186155/
https://www.ncbi.nlm.nih.gov/pubmed/34358300
http://dx.doi.org/10.1093/bioinformatics/btab575

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10186155/
https://www.ncbi.nlm.nih.gov/pubmed/34358300
http://dx.doi.org/10.1093/bioinformatics/btab575

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