Stanford’s ‘Virtual Lab’ of AI agents designs SARS-CoV-2 nanobodies validated in the lab
Result confirmed
The takeaway
James Zou’s group (Nature, 2025) had an LLM ‘principal investigator’ agent run a team of AI scientist agents.
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
- Agents: PI agent plus specialist agents (immunology, computational biology, ML) and a critic
- 92 nanobodies designed; 2 with improved binding to JN.1 or KP.3
- Human role: high-level feedback and all wet-lab work; preprint Nov 2024, Nature 2025
What happened
Instead of a single model, a simulated research group of LLM agents held “meetings”, chose tools and designed an experiment that humans ran.
Why it matters
It was a peer-reviewed demonstration of multi-agent AI doing interdisciplinary research design with real lab outcomes.
Sources
2 sources from 2 sites. Numbers match the chips in the text.
2 sources: 2 primary
Primary
- The Virtual Lab of AI agents designs new SARS-CoV-2 nanobodies (Nature)nature.com, paper
- GitHub: zou-group/virtual-labgithub.com, code
Changes
- Filed