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Baker lab designs antibodies from scratch with atomic accuracy using RFdiffusion

★★★scienceUniversity of Washington Institute for Protein Designconfidence: high

In Nature (Nov 2025) the Baker lab reported de novo design of VHH nanobodies, scFvs and full antibodies against chosen epitopes. Cryo-EM confirmed atomically accurate binding poses and CDR loops for influenza haemagglutinin and C. difficile toxin B. Chai Discovery's Chai-2 separately reported ~16% hit rates for zero-shot antibody design.

Key facts

Science result

Field
biology / antibody engineering
Problem
Designing antibodies to a chosen epitope computationally, without immunisation or library screening
Result
Epitope-specific antibodies designed de novo, with cryo-EM-validated atomic accuracy.
AI system
RFdiffusion (antibody-tuned), Chai-2
Human role
Human-led with AI tools
Verification
Peer-reviewed in Nature (Baker); preprint (Chai-2); lab-validated
Status
confirmed

What happened

After years of designing small binders, AI protein design reached antibodies, the most important class of biologic drugs.

Why it matters

Computational antibody design could replace months of animal immunisation and library screening in drug discovery.

Changelog

  • 2026-09-29: created

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  3. Computationally designed broad coronavirus vaccine is safe and immunogenic in first human trial ★★★

Sources (3)

id: 2025-11-05-ai-designed-antibodies-rfdiffusion · updated 2026-09-29 · open in the interactive timeline