Abstract Constraint-based metabolic models have been used for decades to predict the phenotype of microorganisms in different environments. However. quantitative predictions are limited unless labor-intensive measurements of media uptake fluxes are performed. We show how hybrid neural-mechanistic models can serve as an architecture for machine learning providing a way to improve pheno... https://bellfordtoysandhobbiers.shop/product-category/journal/