It is essential to visualize the "information richness" of the dataset. A diverse set is preferred to maximize the information and avoid wasting time and resources investigating similar molecules of no practical interest. AIMSim provides a priori diversity identification. For this use case, we utilize the Morgan fingerprint with radius 3 and the Tanimoto similarity measure . The appropriateness of this choice is discussed in Supporting Information S3.