To emphasize novel chemical structures, we retained only Enamine REAL clusters that did not contain an active compound from the training set or the AMS set. We were interested only in clusters that the model predicts to have actives despite not belonging to a cluster with known actives. This filter reduced the Enamine REAL list from 5,620 to 2,679 compounds.