State-of-the-art AI programs can support the development of drugs by predicting how proteins interact with small molecules. However, a new study by researchers at the University of Basel published in Nature Communications has shown that these programs only memorize patterns, rather than understanding physical relationships. They often fail when it comes to new proteins that would be of particular interest for innovative drugs.
AI models for drug design fail in physics
