Having established the optimal set of parameters to efficiently navigate in this chemical subspace, we proceeded with a prospective search for potent PDE2 inhibitors. We generated an in silico compound library and navigated using an active learning protocol based on the alchemical free energy calculation oracle. Lead optimization performed this way recovered multiple ligands with strong computed binding affinities, with only a small fraction of compounds screened by computationally costly alchemical calculations.