AI protein structure prediction (AlphaFold)
Predicción del plegamiento de proteínas por IA (AlphaFold)
- Date
- 2020-2021 · confidence high
- Place
- DeepMind, London, United Kingdom
- Credited to
- Demis Hassabis, John Jumper and the DeepMind team; David Baker (protein design)
- People
- 👤 David Baker1962–👤 Demis Hassabis1976–👤 John Michael Jumper1985–
- Field
- Life & health
What was discovered
AlphaFold2 predicted protein structures with experimental accuracy at CASP14 and in 2022 published 200 million structures, solving a 50-year-old problem posed by Anfinsen.
Nobel Prize in Chemistry 2024 to Baker, Hassabis and Jumper.
What it led to
- computational structural biology for all organisms
- accelerated drug and enzyme design
- de novo protein design (RFdiffusion)
- AI as a central tool of biology
Built on
- Alpha helix (Pauling)1951
- AlexNet and the deep learning revolution2012
- Pauling's alpha helix
- Protein Data Bank
- Anfinsen's hypothesis
Made possible
- protein design by AI
- structural virtual screening