A Method to Constrain Genome-Scale Models with 13C Labeling Data.

ABSTRACT: Current limitations in quantitatively predicting biological behavior hinder our efforts to engineer biological systems to produce biofuels and other desired chemicals. Here, we present a new method for calculating metabolic fluxes, key targets in metabolic engineering, that incorporates data from 13C labeling experiments and genome-scale models. The data from 13C labeling experiments provide strong flux constraints that eliminate the need to assume an evolutionary optimization principle such as the growth rate optimization assumption used in Flux Balance Analysis (FBA). This effective constraining is achieved by making the simple but biologically relevant assumption that flux flows from core to peripheral metabolism and does not flow back. The new method is significantly more robust than F

SUBMITTER: Martin HG 

PROVIDER: S-EPMC4574858 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature