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

Rudan Xu | Zendy; Zahra RazaghiMoghadam | Zendy; Zoran Nikoloski | Zendy

Open Access

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

Author(s) -

Rudan Xu,

Zahra RazaghiMoghadam,

Zoran Nikoloski

Publication year - 2021

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btab575

Subject(s) - flux (metallurgy) , in vivo , proteomics , escherichia coli , enzyme , computational biology , biology , biological system , computer science , chemistry , biochemistry , genetics , gene , organic chemistry

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 across organisms.

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