Regio-selectivity prediction with a machine-learned reaction representation and on-the-fly quantum mechanical descriptors

A new method is introduced that combines machine-learned reaction representation with selected quantum mechanical descriptors to predict regio-selectivity in general substitution reactions, and requires approximately only 70 ms per reaction to predict the selectivity from reaction SMILES strings.