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Rapid Prediction of Bacterial Heterotrophic Fluxomics Using Machine Learning and Constraint Programming

Fig 8

A comparison of the 13C-MFA flux, the flux predicted by ML only, and the flux predicted by MFlux in Case 8.

B. subtilis was incubated in a shake flask (37 C, 300 rpm, aerobic condition), and supplied with labeled succinate and glutamate as carbon sources in M9 minimal medium. Detailed information is in S1 Table.

Fig 8

doi: https://doi.org/10.1371/journal.pcbi.1004838.g008