Schematic overview of OKO, a constraint-based approach to predict metabolic engineering strategies targeting turnover numbers.

Schematic overview of OKO, a constraint-based approach to predict metabolic engineering strategies targeting turnover numbers.

<p>OKO is a two-step approach: In the first step (A), the protein allocation (<b>E</b><sup><b><i>wt</i></b></sup>) is determined by minimizing the enzyme usage at the maximum product yield in the wild-type model at optimal growth rate () under th...

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Bibliographic Details
Main Author:	Zahra Razaghi-Moghadam (1426774) (author)
Other Authors:	Fayaz Soleymani Babadi (20108426) (author), Zoran Nikoloski (175457) (author)
Published:	2024
Subjects:	Biochemistry Microbiology Physiology Inorganic Chemistry Computational Biology Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified deep learning models constrained metabolic models saccharomyces cerevisiae </ escherichia coli </ turnover number predictions based modeling approach precise metabolic engineering enzyme catalytic rates div >< p metabolic engineering strategies silico </ turnover numbers computational approach protein engineering uses enzyme little penalty least double increasing availability host ’ given chemical enzyme parameters enzyme abundance available compendia also unclear
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