1. Kraken. This database, curated by Gensch et al., contains ~300,000 virtual monodentate organophosphorous (III) ligands for asymmetric catalysis. These ligands were combinatorially enumerated in silico using a set of 1,558 experimental ligands (including commercially available compounds) and 576 unique, diverse substituents. For the set of 1,558 ligands, physicochemical descriptors were calculated on conformer ensembles using QM methods. These descriptors were then used as input for ML models trained to predict the physicochemical profiles of the entire virtual library of 300,000 ligands.