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Deep learning discovers halicin, a structurally new broad-spectrum antibiotic

★★★★scienceMITBroad Instituteconfidence: high

MIT's Collins and Barzilay labs (Cell, Feb 2020) trained a message-passing neural network on ~2,300 molecules. It identified halicin, a diabetes drug candidate, as a potent antibiotic that killed M. tuberculosis, carbapenem-resistant Enterobacteriaceae and pan-resistant A. baumannii, and cleared infections in mice.

Key facts

Science result

Field
medicine / antibiotic discovery
Problem
Finding new antibiotic classes against drug-resistant bacteria
Result
Discovery of halicin, a broad-spectrum bactericidal compound unlike existing antibiotics, validated in mice.
AI system
Chemprop message-passing neural network
Human role
Human-led with AI tools: humans built training data and did all lab validation
Verification
Peer-reviewed in Cell; lab-validated in vitro and in mice
Status
confirmed
Why surprising
The first time deep learning found a new antibiotic from scratch, among molecules that chemists had not considered antibacterial.

What happened

A graph neural network trained on growth-inhibition data screened the Drug Repurposing Hub and then 100M+ molecules, surfacing halicin and other candidates confirmed in the lab.

Why it matters

It launched the modern field of AI antibiotic discovery at a time of stalled antibiotic pipelines.

Changelog

  • 2026-09-29: created

Related events

  1. AI finds abaucin, a narrow-spectrum antibiotic against the superbug Acinetobacter baumannii ★★★
  2. Generative AI designs new antibiotics that kill drug-resistant gonorrhoea and MRSA ★★★★
  3. Explainable deep learning discovers a new structural class of antibiotics against MRSA ★★★

Sources (3)

id: 2020-02-20-halicin-ai-antibiotic · updated 2026-09-29 · open in the interactive timeline