Data integration across conditions improves turnover number estimates and metabolic predictions

Abstract

The construction of protein-constrained genome-scale metabolic models depends on the integration of organism-specific enzyme turnover numbers. Here, the authors show that correction of turnover numbers by simultaneous consideration of proteomics and physiological data leads to improved predictions of condition-specific growth rates.