Additionally, we evaluated training variations, including transfer learning using enumerated SMILES to a binary classification (enumerated), training using a randomly initialized frozen encoder, a completely randomized model without further training and training using the random split instead of the scaffold split (Figure ). Details regarding data distribution differences between the data splits are found in Supplemental A.