including machine learning (ML) . iPP-DB is one of the first efforts to make available compounds with activity against 13 PPI targets: it was manually curated and included 8,900 compounds. Examples of PPI targets included in this database are bromodomain proteins. Fr-PPIChem is a diverse library of 10,314 PPI-like inhibitors identified because of the implementation of artificial intelligence (AI) techniques. AI and ML, in particular, have an enormous potential to revolutionize drug design and development . ML is valuable because it uses pattern recognition algorithms to discern mathematical relationships between molecules and properties . The subfield of ML, deep learning (DL), uses artificial neural networks that adapt and learn from the vast amount of experimental data . ML and DL have been successfully implemented in drug discovery programs . Recently, Choi et al.