AlphaFold 2
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A to Z
- A · App
- No
- B · Built By
- DeepMind
- C · CEO & Politics
- Demis Hassabis — Centrist / pro-science / UK establishment
- D · Date
- 2020
- E · Expertise
- Intermediate+
- F · Free Tier
- Yes
- G · Generates
- Text only
- H · Deployment
- Cloud + Local (open weights)
- I · Inputs
- Text
- J · Jurisdiction
- UK
- K · Key Staffers
- Shane Legg (Co-Founder, Chief AGI Scientist), Koray Kavukcuoglu (CTO), John Jumper
- L · Languages
- English-primary
- M · Model Type
- Science/Biology
- N · Safety Issues
- None reported
- O · Open Source
- Yes — open weights
- P · Pricing
- Free (open weights, CC BY 4.0; code Apache 2.0)
- Q · AIDb Rating
- 5/10 · AIDb v2.0 (rule-based): Capability 4/10 · Currency 4/10 · Access 8/10 · Significance 4/10 → 4.60
- R · What Makes It Special
- AlphaFold 2, the DeepMind AI system that predicts a protein's 3D structure from its amino-acid sequence, which CASP's organizers recognized in November 2020 as a solution to biology's 50-year-old protein folding problem: at CASP14 it reached a median 92.4 GDT, with errors of about 1.6 angstroms. DeepMind open-sourced it in 2021, its database with EMBL-EBI grew to over 200 million predicted structures, and Demis Hassabis and John Jumper shared the 2024 Nobel Prize in Chemistry for it.
- S · Stock / Status
- $344 (GOOGL, Sep 25, 2026)
- T · Training Cutoff
- [UNKNOWN]
- U · Users
- [UNKNOWN]
- V · Voice Chat
- No
- W · Weights
- Downloadable
- X · X Handle
- @GoogleDeepMind
- Y · Year Founded
- [UNKNOWN]
- Z · Bottom Line
- Open-weights Science/Biology from DeepMind, released 2020.
Data completeness 88% · Last verified 2026-06-11 · Primary source ↗
Cite this
“AlphaFold 2.” AIDb — The AI Database. Verified 2026-06-11. https://theaidatabase.com/m/alphafold-2-deepmind.html