The drug discovery process is highly complex and involves several steps. Among these steps, the determination of the physicochemical properties of potentially active compounds plays an important role in the initial stages . Indeed, some authors suggest that bioactive compounds with adequate physicochemical properties should be prioritized rather than highly active compounds with inadequate physicochemical properties . Currently, several computational programs predict these properties based on databases of compounds and mathematical formulas . Therefore, we subjected the most active compounds described in this review with MIC90 values below 0.1 μM to an analysis of the Lipinski’s rule, which indicates whether a molecule could be an orally active drug in humans . We calculated theoretical partition coefficient (cLogP) values, molecular weight and number of hydrogen bond donors and acceptors using the software OSIRIS DataWarrior (Table 1). The data showed that the majority of the compounds presented adequate properties according to the Lipinski’s rule. In addition, the software also predicted the drug-likeness of these compounds. Briefly, this drug property indicates whether a compound contains fragments that are frequently present in commercial drugs. The most active compounds selected presented values of drug-likeness in a range of −14.43 to 7.03. The majority of marketed drugs show values between −5 and 5 .