AI finds abaucin, a narrow-spectrum antibiotic against the superbug Acinetobacter baumannii
McMaster and MIT researchers (Nature Chemical Biology, May 2023) trained a model on ~7,500 screened molecules and found abaucin, which selectively kills A. baumannii by disrupting lipoprotein trafficking (LolE) and controlled infection in a mouse wound model.
Key facts
- Nat Chem Biol 19:1342–1350 (2023)
- Narrow-spectrum: spares most other bacteria
- Mechanism: perturbs lipoprotein trafficking via LolE
Science result
- Field
- medicine / antibiotic discovery
- Problem
- Drugs for WHO-priority pathogen A. baumannii
- Result
- A new narrow-spectrum antibiotic with a novel mechanism, effective in a mouse wound infection model.
- AI system
- graph neural network (Chemprop)
- Human role
- Human-led with AI tools
- Verification
- Peer-reviewed in Nature Chemical Biology; lab-validated in mice
- Status
- confirmed
What happened
A model trained on a modest screen predicted which compounds would inhibit A. baumannii, leading to abaucin.
Why it matters
It showed that AI could find narrow-spectrum antibiotics, which spare the microbiome and slow resistance.
Changelog
- 2026-09-29: created
Related events
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- Genentech's GNEprop screens 1.4 billion virtual compounds and finds 82 new antibacterial hits ★★
Sources (2)
- paperDeep learning-guided discovery of an antibiotic targeting Acinetobacter baumannii (Nat Chem Biol)
- pressMIT News: Using AI, scientists find a drug that could combat drug-resistant infections
id: 2023-05-25-abaucin-ai-antibiotic · updated 2026-09-29 · open in the interactive timeline