AI finds abaucin, a narrow-spectrum antibiotic against the superbug Acinetobacter baumannii
Result confirmed
The takeaway
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.
Status
- Claim
Result confirmed
- Our reporting
- High confidence
- Verification
- Peer-reviewed
- Importance
- 3 of 5
- Last verified
- 29 September 2026
Your AI and this story
- GPT-6 AstraIn its training data
- Claude Opus 5.5In its training data
- Gemini 4 HydrogenIn its training data
- Grok 4.7In its training data
It happened before the cutoffs of all four assistants, so it can be in their training data.
Key facts
- Nat Chem Biol 19:1342–1350 (2023)
- Narrow-spectrum: spares most other bacteria
- Mechanism: perturbs lipoprotein trafficking via LolE
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.
Sources
2 sources from 2 sites. Numbers match the chips in the text.
2 sources: 1 primary, 1 press
Primary
- Deep learning-guided discovery of an antibiotic targeting Acinetobacter baumannii (Nat Chem Biol)nature.com, paper
Press
Changes
- Filed