Francis J. Alexander

The paper develops a sensitivity analysis strategy for genome-scale metabolic flux prediction using TRIMER, showing its utility in guiding optimal experimental design for metabolic engineering.

TRIMER integrates transcriptional and metabolic regulation to predict metabolic fluxes and gene states, outperforming existing methods on simulated and experimental data.