Research team finds almost a million potential sources of next-gen antibiotics in the natural world

Research published in the journal Cell by a team including Queensland University of Technology (QUT) computational biologist Associate Professor Luis Pedro Coelho has used machine learning to identify 863,498 promising antimicrobial peptides—small molecules that can kill or inhibit the growth of infectious microbes.

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