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Latest / Science and research

ResearchScienceHealthUSReported

AI-designed bacteriophages kill E. coli strains resistant to a natural phage

See how this story connects

Source: Stanford UniversityAlso reported by BigDATAwire

Researchers at Stanford University and the Arc Institute reported in Science that they used the Evo biological sequence models to design bacteriophage genomes; from nearly 300 synthesised and tested, they selected 16 that infect and kill E. coli. A mixture of the 16 was effective against strains that had become resistant to the natural phage used as a reference. Brian Hie, a leader of the work, said genetically distinct phages in a mixture make resistance harder to develop.

Why it matters

AI-designed viruses that kill resistant bacteria point to new treatments, and sharpen the biosecurity question of what else such models can design.

When
6 Aug 2026
ID
WTA-N-2026-0227
Who
Stanford University, Arc Institute; Brian Hie

Summary by wheresthe.ai, from Stanford University and the reporting credited above. We could not open the primary document, so it is marked Reported. Checked against the source on 10 Oct 2026.

Read the original at Stanford University

Source copy: download the page text as saved on 18 Oct 2026 (PDF). Also held by the Internet Archive.

Next stop on this Storyline: PromptedGoogle DeepMind publishes SynthID Bio watermarking for AI-designed proteins in Nature

Cite this story

WTA-N-2026-0227: “AI-designed bacteriophages kill E. coli strains resistant to a natural phage.” wheresthe.ai, 6 Aug 2026. https://wheresthe.ai/d/us-ai-designed-phage-genomes-science-2026-08/ (source: Stanford University).

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