To assess the importance of a large and diverse dataset for deep learning reaction models, we retrained a recently published enzymatic reaction prediction tool within the IBM RXN toolbox, based on a transformer architecture, and originally trained on the ECREACT dataset. Both the forward-reaction prediction, as well as the retrosynthesis prediction were retrained exactly as described in Ref. 43 after adding the respective reactions from EnzymeMap on top of ECREACT and deduplication.