To assess the improvements EnzymeMap offers over other databases, we train a neural network model to rank relevant retrosynthetic templates to produce a given product, as also used in the open-source synthesis planning tool ASKCOS, . The model therefore suggests reaction templates given an input molecule, where we use RDChiral to produce chiral reaction templates and retrain the template-relevance model from Ref. 31 with the default hyperparameters described therein. Since the model is trained as classification task (i.e. to identify the template that led to the given product), it is important that all templates extracted from a dataset are mutually exclusive. We thus used the code from Ref. 75 to arrive at exclusivity-corrected templates.