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Computational identification of a systemic antibiotic for Gram-negative bacteria | Nature Microbiology

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Researchers used computational methods to identify dynobactin A, a novel peptide antibiotic from *Photorhabdus australis* that targets the BamA protein in Gram-negative bacteria. Unlike the related darobactin, dynobactin features two unlinked rings and binds uniquely to the BamA lateral gate. The peptide demonstrated efficacy in mouse models of systemic *E. coli* infection, marking it as a promising candidate for drug development.

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