Expanding Metabolic Engineering Algorithms Using Feasible Space and Shadow Price Constraint Modules.

ABSTRACT: While numerous computational methods have been developed that use genome-scale models to propose mutants for the purpose of metabolic engineering, they generally compare mutants based on a single criteria (e.g., production rate at a mutant's maximum growth rate). As such, these approaches remain limited in their ability to include multiple complex engineering constraints. To address this shortcoming, we have developed feasible space and shadow price constraint (FaceCon and ShadowCon) modules that can be added to existing mixed integer linear adaptive evolution metabolic engineering algorithms, such as OptKnock and OptORF. These modules allow strain designs to be identified amongst a set of multiple metabolic engineering algorithm solutions that are capable of high chemical production while

SUBMITTER: Tervo CJ 

PROVIDER: S-EPMC4249821 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature