Focused virtual libraries of compounds are valuable resources for bioactive compound discovery. These libraries compile data on molecules with potential biological activity, identified through ligand-based and structure-based drug discovery approaches. They play a crucial role in prioritizing candidates for synthesis, biological evaluation, and efficient allocation of resources. Notable recent examples of disease-specific focused virtual libraries include those targeting neglected infectious diseases, SARS-CoV-2, Sirtuin-1 dysregulation, and type 2 diabetes mellitus. Given the ongoing demand for respiratory-focused antivirals, extensive research has generated a wealth of structure-activity data now available in public repositories such as ChEMBL. This data serves as a crucial input for machine learning (ML) models to design focused libraries for further experimental screening.