The vast majority of both the USPTO products and the predicted products were predicted to be inactive against the target. In addition, we observed no enrichment of active compounds amongst the predicted products compared to USPTO, which was expected given that the reactants were sampled randomly. However, for all predicted products we found 1,732 compounds that were predicted as active (p > 0.8) for the target while none of these were present in the ExCAPE database (Table ). When the reactions are filtered on both DRD2 activity > 0.8 and QED score > 0.8 simultaneously, we obtained 123 reactions with 117 unique compounds. This indicates that even though the reactants are randomly selected, our exhaustive method could be used to find active, synthesizable, and novel compounds using different kinds of filtering and screening techniques. Figure illustrates the 10 reactions with the highest activity and with a QED score > 0.8. The presented reactions look feasible and are predicted to be successful also by an experienced chemist. Although most reactions are considered rather simple. We also observe that the predicted reactions are not necessarily the simplest way to synthesize the products. For example, the product of Reaction 4 could be more simply synthesized by using either acetic anhydride or chloride instead. We also observe that for the compounds that are predicted as active, there are some reactants that are overrepresented. For the 123 reactions with a predicted DRD2 activity > 0.8 and a QED score > 0.8, 145 unique reactants are observed. One example is reactions 4 and 10 which share one reactant. The presented results suggests that among our generated compounds there are some promising structures which are predicted to be active DRD2 modulators. However, further analysis should be applied to the generated library to screen the novel compounds for desired molecular properties and activities.