Cost-optimized design analysis for rapid microbial prototyping

摘要

Computer-implemented methods for providing improvements in genome-scale metabolic models are described. The methods identify and optimize metabolic flux states that minimize the cost of enzyme production while maximizing a desired cellular phenotype. The computer-implemented methods may maximize cellular phenotypes such as growth (biomass) or production of a metabolite, such as a commercially valuable chemical compound, through the selection of metabolic pathways that maximize these phenotypes while minimizing metabolic costs associated with production of the proteomic constituents of individual metabolic pathways. The computer implemented methods may be useful for computationally designing microbial strains for the production of chemicals.