In a new study, Dr. Benjamin P. Brown (Vanderbilt University) proposes an architectural shift in how machine learning models predict binding affinities between proteins and small molecules; a longstanding obstacle in AI-assisted drug discovery. The work seeks to close what many call the generalizability gap: the tendency for AI models to perform well on known