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Researchers at the University of Bonn have developed a technique that reveals the inner workings of AI systems used in pharmaceutical research. Surprisingly, their findings indicate that these AI models primarily rely on recalling existing data rather than learning specific chemical interactions for predicting the effectiveness of drugs. This breakthrough could help to improve drug discovery research, which uses machine learning to predict which molecules will best dock to target proteins and bind strongly.
