Researchers from the University of Bonn have trained an AI process to predict potential active ingredients with special properties, deriving a chemical language model—a kind of ChatGPT for molecules. Following a training phase, the AI was able to exactly reproduce the chemical structures of compounds with known dual-target activity that may be particularly effective medications. The study has now been published in Cell Reports Physical Science.