CONSTRICTOR: constraint modification provides insight into design of biochemical networks.

ABSTRACT: Advances in computational methods that allow for exploration of the combinatorial mutation space are needed to realize the potential of synthetic biology based strain engineering efforts. Here, we present Constrictor, a computational framework that uses flux balance analysis (FBA) to analyze inhibitory effects of genetic mutations on the performance of biochemical networks. Constrictor identifies engineering interventions by classifying the reactions in the metabolic model depending on the extent to which their flux must be decreased to achieve the overproduction target. The optimal inhibition of various reaction pathways is determined by restricting the flux through targeted reactions below the steady state levels of a baseline strain. Constrictor generates unique in silico strains, each

SUBMITTER: Erickson KE 

PROVIDER: S-EPMC4244162 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature