The MetAP DB was characterized by calculating six physicochemical properties of pharmaceutical interest, in particular, for organic small-molecules, namely: molecular weight (MW), octanol/water partition coefficient (SlogP), topological surface area (TPSA), number of rotatable bonds (RB), number of H-bond donor atoms (HBD), and number of H-bond acceptor atoms (HBA). Indeed, this set of properties is frequently used to characterize compound databases with drug discovery applications with non-metallic compounds. These are descriptors of the adequate solubility, permeability, and bioavailability of the described molecules. However, to our knowledge, there are no systematic reports on the use of these properties to describe the "druglike" profile of metallic compounds. Each calculated property was computed using the RDKit node, implemented in KNIME software. The calculated properties were analyzed by calculating the mean and standard deviation. Based on these statistics MetAP DB was further compared with non-metallic approved drugs retrieved from DrugBank V. 2024 (2,144 compounds). The systematic comparison was generated using the Python programming language. The code is freely available at .