In addition to studies on biological diversity and ecology, natural products (NPs) have a unique and favorable property profile that is particularly useful in drug discovery. It is therefore of most importance to collect available NPs and make them available for the identification of new bioactive molecules. The first compendium on natural product (NP) collections in the public domain was published over ten years ago, while the number of public databases has increased significantly in the past few years. As extensively reviewed elsewhere, more than twenty NP collections are organized by, for example, source (e.g., plants, fungi metabolites, marine) and geographical region (e.g., country or continent). In this context, Latin America is one of the largest biodiverse regions in the world. Hence, several countries have been developing NP collections and making them public. In a collective effort to join NP databases in a single public repository, six countries so far have joined efforts and have put together a unified database termed the Latin American Natural Product Database (LANaPDB) that currently holds more than 13,000 compounds. The database is freely available at . Such efforts are contributing to further advancing the progress of chemoinformatics in Latin America. Quantifying the NP-likeness of compound libraries is a relevant feature to fully characterize the contents of compound databases from their natural origin. For instance, to prioritize the most or least suitable libraries for a drug discovery project involving virtual screening and designing NP-like libraries. To this end, several chemoinformatics metrics have been developed and used. For instance, a new NP-likeness score based on a trained neural network was recently developed by some of the authors which can differentiate very well between NPs and synthetic molecules (SMs). Concerning the profiling of Latin American databases, the authors previously conducted an NP-likeness study of the Mexican database BIOFACQUIM and other NP collections. However, most of the compound libraries in LANaPDB have not been analyzed in terms of NP-likeness.