RFdiffusion
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A to Z
- A · App
- No
- B · Built By
- UW/Baker Lab
- C · CEO & Politics
- N/A (academic research) — No public partisan activity documented
- D · Date
- 2023
- E · Expertise
- Intermediate+
- F · Free Tier
- Yes
- G · Generates
- Text only
- H · Deployment
- Cloud + Local (open weights)
- I · Inputs
- Text
- J · Jurisdiction
- USA
- K · Key Staffers
- Joseph L. Watson (Co-lead author), David Juergens (Co-lead author), Nathaniel R. Bennett (Co-lead author), Brian L. Trippe (Co-lead author), Jason Yim (Co-lead author), Helen E. Eisenach (Co-lead author), Woody Ahern (Co-lead author), David Baker (Senior author)
- L · Languages
- English-primary
- M · Model Type
- Science/Biology
- N · Safety Issues
- None reported
- O · Open Source
- Yes — open weights
- P · Pricing
- Free (open source, BSD; covers code and weights)
- Q · AIDb Rating
- [UNKNOWN]
- R · What Makes It Special
- RFdiffusion, an open-source diffusion method for generating protein structures with or without conditioning information such as a motif or target; it handles motif scaffolding, unconditional and symmetric (cyclic, dihedral and tetrahedral) generation, symmetric motif scaffolding, binder design and design diversification through partial diffusion.
- S · Stock / Status
- Research / open-source project
- T · Training Cutoff
- [UNKNOWN]
- U · Users
- [UNKNOWN]
- V · Voice Chat
- No
- W · Weights
- Downloadable
- X · X Handle
- [UNKNOWN]
- Y · Year Founded
- [UNKNOWN]
- Z · Bottom Line
- Open-weights Science/Biology from UW/Baker Lab, released 2023.
Data completeness 81% · Last verified 2026-05-12 · Primary source ↗
Cite this
“RFdiffusion.” AIDb — The AI Database. Verified 2026-05-12. https://theaidatabase.com/m/rfdiffusion.html