NIHBA: a network interdiction approach for metabolic engineering design.

ABSTRACT: MOTIVATION: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. RESULTS:Here, we have employed a network interdiction model free of growth optimality assumptions, a special case of bilevel optimization, for computational strain design and have developed a hybrid Benders algorithm (HBA) that deals with complicating binary variables in the model, thereby achieving high efficiency with

SUBMITTER: Jiang S 

PROVIDER: S-EPMC7267835 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature