A Method to Constrain Genome-Scale Models with 13C Labeling Data
Fig 10
Metabolite Labeling prediction.
The combination of 13C labeling data and genome-scale models with COBRA prediction methods produces predictions that cannot be obtained through either 13C MFA or FBA. The 13C MOMA predictions of fluxes shown in Fig 9 and S19 Fig are accurate enough that they can be used to predict the metabolite labeling (MDV, see Fig 4) for the pyk strain at 5 hours without using any data from the experiment on the pyk strain. A genome-scale model is needed to use 13C MOMA, and the accuracy provided by the 13C data is necessary to produce an accurate initial flux profile for 13C MOMA (see S2 Text). OF denotes the objective function: the average deviation of predicted labeling from the experimental value, measured in units of the experimental error. The prediction though standard MOMA, based on a FBA flux profile, is much less accurate (OF = 11.9) than the one obtained through 13C MOMA (OF = 2.2).