NIHBA: a network interdiction approach for metabolic engineering design | Zendy

Shouyong Jiang | Zendy; Yong Wang | Zendy; Marcus Kaiser | Zendy; Natalio Krasnogor | Zendy

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NIHBA: a network interdiction approach for metabolic engineering design

Author(s) -

Shouyong Jiang,

Yong Wang,

Marcus Kaiser,

Natalio Krasnogor

Publication year - 2020

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/btaa163

Subject(s) - interdiction , computer science , bilevel optimization , scalability , flux balance analysis , overhead (engineering) , mathematical optimization , code (set theory) , source code , binary number , network planning and design , distributed computing , optimization problem , algorithm , database , set (abstract data type) , programming language , computer network , engineering , mathematics , bioinformatics , arithmetic , biology , aerospace engineering

Flux balance analysis (FBA) based bilevel optimization has been a great success in redesigning metabolic networks for biochemical overproduction. To date, many computational approaches have been developed to solve the resulting bilevel optimization problems. However, most of them are of limited use due to biased optimality principle, poor scalability with the size of metabolic networks, potential numeric issues or low quantity of design solutions in a single run.

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