Researchers have trained an AI process to predict potential active ingredients with special properties. Therefore, they derived 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.
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