AI-guided mutations help viruses infect bacteria up to 1 million times more effectively

Researchers trained an AI model on experimental protein data to predict mutations in bacteriophages. In lab tests, the engineered viruses infected target bacteria up to one million times more effectively and spared non-target strains. The results give biomedical engineers a faster method to design therapeutic phages against antibiotic-resistant infections.

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