Transparent Chemistry: How AI Explains Its Predictions
A medicinal chemist is like a detective searching for the right compound among millions of suspects. Modern neural networks speed up the search but behave like a witness who says "it's him" and refuses to elaborate. In pharma, such secrecy is dangerous: a spurious correlation could send a toxic compound to the next stage of trials.