AlphaFold
Sign in to saveAlphaFold is an artificial intelligence (AI) program developed by DeepMind, a subsidiary of Alphabet, which performs predictions of protein structure. It is designed using deep learning techniques.
Key facts
- Biodatabase.title
- AlphaFold Protein Structure Database
- Biodatabase.scope
- protein structure prediction
- Biodatabase.organism
- all UniProt proteomes
- Biodatabase.center
- EMBL-EBI
- Biodatabase.url
- https://www.alphafold.ebi.ac.uk/
- Biodatabase.download
- yes
- Biodatabase.webapp
- yes
- Biodatabase.license
- CC-BY 4.0
- Biodatabase.curation
- automatic
via Wikipedia infobox
Article
25 sectionsContents
- Background
- Algorithm
- AlphaFold 1 (2018)
- AlphaFold 2 (2020)
- AlphaFold 3 (2024)
- Competitions
- CASP13
- CASP14
- CASP15
- Reception
- Source code
- Clones and derivatives
- Database of protein models generated by AlphaFold
- Derived databases
- Unrelated AlphaFold-based databases
- Performance, validations and limitations
- AlphaFold 1, 2, and AlphaFold DB
- AlphaFold 3
- General
- Applications
- Published works
- See also
- References
- Further reading
- External links
AlphaFold is an artificial intelligence (AI) program developed by DeepMind, a subsidiary of Alphabet, which performs predictions of protein structure. It is designed using deep learning techniques.
AlphaFold 1 (2018) placed first in the overall rankings of the 13th Critical Assessment of Structure Prediction (CASP) in December 2018. It was particularly successful at predicting the most accurate structures for targets rated as most difficult by the competition organizers, where no existing template structures were available from proteins with partially similar sequences.