Alexandre Bouillon

Beyond benchmark accuracy: machine-learning turnover-number predictors require system-level validation

Enzyme turnover numbers (kcat) are essential for kinetic models and enzyme-constrained genome-scale metabolic models (ecGEMs), but measured values are sparse and therefore increasingly estimated using machine learning (ML). Although these predictors are commonly evaluated by global regression metrics, their practical u...