The LaNaPDB and COCONUT compound distribution of the physicochemical properties is in general similar (Figure ). Also as expected, COCONUT covers the broadest area of the chemical space, because it is the largest database (411,000 compounds) (Figure ). Many compounds of LaNaPDB fulfill the rules of thumb associated with drug-likeness (Figure ) and part of the LaNaPDB chemical space overlaps with the chemical space comprised by the approved drugs (Figure ). The distribution of the physicochemical properties of the NPs in the countries with more compounds (Brazil and Mexico) is in general, more focused in certain regions, compared with the NPs from countries with less compounds (Costa Rica, El Salvador, Panama, and Peru) which is broader (e.g. SlogP, Brazil vs Peru from Figure ). The chemical space represented by the six physicochemical properties is overlapped among the NPs from the six Latin American countries (Figure ). In the principal component analysis (PCA), the first two principal components are enough to represent most of the explained variance percentage: 89.3% in the LaNaPDB, COCONUT and approved drugs comparison and 84.6% in the Latin American countries' comparison (Table ). Moreover, TPSA, MW, HBD and HBA are the descriptors with more contribution to the principal component 1. The descriptors with more contribution to the principal component 2 are SlogP and Rb.