The gist
MIT announced in August 2025 antibiotics designed by generative AI against gonorrhoea and MRSA, tested in vitro and in animals. Status: peer reviewed (Cell).
DiscoverIA status on October 11, 2026: peer reviewed, meaning published in a journal or reviewed by named experts.
AI draft, not reviewedWhat has not been reviewed?
Text written by an AI (DiscoverIA pipeline), on . The status and its sources come from the registry; only the explanatory text has not been reviewed. A reported error is corrected, then the text is reviewed.
Cite this entry
A single status snapshot since Oct 11, 2026: a citation always points to a dated snapshot.
Cite snapshot 1, Oct 11, 2026
APA citation with the dated link
BibTeX @misc, key discoveria-mit-generative-antibiotics-2025-08-r1
@misc{discoveria-mit-generative-antibiotics-2025-08-r1,
author = {{DiscoverIA}},
title = {Generative-AI antibiotics against gonorrhoea and MRSA},
howpublished = {DiscoverIA registry, entry mit-generative-antibiotics-2025-08},
note = {Status “Peer reviewed”, snapshot 1, recorded on October 11, 2026. New result},
year = {2026},
url = {https://discoveria.ai/entry/mit-generative-antibiotics-2025-08#releve-1},
urldate = {2026-10-11}
}Dated link opens this snapshot in the history
To understand ≈ 20 s reading time, estimated
What it changes
If the result holds, generative AI could propose new molecules against hard-to-treat bacteria. The work is preclinical: no human trial was found, and nothing allows us to speak of an available treatment.
What remains unclear
The publication in Cell is confirmed by Europe PMC and by news.mit.edu, but the journal's site refuses access: its page was not read. No third-party verifier is named.
In the glossary : Peer review, Status: peer reviewed
Read the paper
A generative deep learning approach to de novo antibiotic design
What it establishes : The authors design new antibiotics with generative AI: of 24 compounds synthesised, 7 show selective antibacterial activity, and two reduce infection in mice (gonorrhoea, MRSA).
Where to start : The summary, then Figures 3 (compound NG1, gonorrhoea) and 7 (compound DN1, MRSA), which cover the mechanism of action and efficacy in mice. The author manuscript is freely available on PubMed Central.
Written by an AI · reviewed by a human
For experts
Sources, method, key facts, status history, report an error
Status
Peer reviewed
Recorded on · europepmc.org
Step 3 of 4 on the scale: peer reviewed. Next step: formally verified.
- Announced
- Recordedpeer reviewed
What this status means
Source reading : Source read word for word (level 3 of 3)
Published in a journal or reviewed by named experts.
Sources
- Main sourcedoi.orglink only, reading not recorded
- Papereuropepmc.orgpage read word for word · consulted on Oct 20, 2026 ·
A generative deep learning approach to de novo antibiotic design.
- Corroborationjclinic.mit.edulink only, reading not recorded
Method
DiscoverIA status: peer reviewed (published in a journal or reviewed by named experts). Set on October 11, 2026; source read on October 20, 2026 from europepmc.org (page read, quotation checked word for word: “A generative deep learning approach to de novo antibiotic design.”).
Limits
The status may change if a new source is published; the dated history stays visible.
Key facts
- Claimed by
- MIT
announced on Aug 2025 - Nature
- new result
- Field
- Biology and medicine (biology / pharmacology)
- Checked by
- peer review by the journal Cell (publication confirmed by Europe PMC, PMID 40816267)
- Sources
- 3 : 1 read word for word, 2 links only
- This entry
- AI draft, not reviewed
Status history
Only one observation so far.
- 01
First observation:Peer reviewedCurrent status
Cell vol. 188, no. 21, pp. 5962-5979.e22, DOI 10.1016/j.cell.2025.07.033; news.mit.edu (2025-08-14) cites the journal Cell.
Source: europepmc.orgread word for word
An observation is added; none is ever erased.
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