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The researchers trained a deep learning model to identify the kinds of molecules that kill bacteria. The algorithm can screen more than a hundred million chemical compounds in a matter of days. “We wanted to develop a platform that would allow us to harness the power of artificial intelligence to usher in a new age of antibiotic drug discovery,” said James Collins, the Termeer Professor of Medical Engineering and Science in MIT’s Institute for Medical Engineering and Science (IMES) and Department of Biological Engineering. In their latest study, the researchers also discovered several other promising antibiotic candidates, which they plan to investigate further. The team believes that the model could also be used for drug design to create more clinically effective agents – based on what the model has learned about chemical structures that enable drugs to kill bacteria.