Molecular complexity can be quantified using several different metrics. In this work, as a quantitative measure of molecular complexity we employed the recently developed metric normalized spacial score (nSPS). The synthetic feasibility was determined calculating the synthetic accessibility score (SAscore). The distribution of both metrics was represented with kernel density estimate (KDE) plots which represent the data using continuous probability density curves (Figure ). nSPS takes into account the atom hybridization, stereoisomerism, presence and complexity of aromatic or non-aromatic rings, and the number of heavy-atom neighbors. As a reference, in an earlier study, it was found that the nSPS values of most of the approved drugs is between ten and twenty and this has remained without any significant changes in the last eight decades. The nSPS values for the compounds of the three databases studied in this work are centered around ten and twenty (Figure ). Thus, LANaPDB has a significant proportion of compounds with nSPS values between ten and twenty (39.78%) and those compounds are expected to have a similar pharmacokinetic profile to the approved drugs according to the molecular similarity principle. Moreover, unlike the other two reference databases, the LANaPDB compounds presented mainly nSPS values around thirty and fifty (26.88%) (Figure ). Previously, it has been found that the ligand potency and target selectivity are maximized in compounds with nSPS values between twenty and forty. Therefore, LANaPDB has a significant proportion of compounds with nSPS values between twenty and forty (37.95%) which are expected to have a good potency and target selectivity. The nSPS value for each compound in LANaPDB is indicated in the database publicly available.