To investigate the profiles of the activity of real (public and in-house) compounds according to the time elapsed quantitatively, we used compound k-means clustering as implemented in sklearn.cluster using ECFP6 fingerprints calculated using RDKit [48] and cluster size: 10. Then, we counted the number of compounds in each cluster and in each region (α, β and γ in Fig. ).