Joint structure prediction for proteins, nucleic acids and ligands (AlphaFold 3)
A diffusion-based successor to AlphaFold predicts complexes spanning proteins, DNA, RNA, small molecules and ions in a single model, with large accuracy gains over the specialised docking tools used for each case.
- Model
- AlphaFold 3
- Field
- Biology
- Date
- 2024-05-08
- Human collaborators
- John Jumper, Max Jaderberg
What was found
AlphaFold 2 predicted the fold of a protein chain; drug discovery mostly needs the structure of that protein bound to something else. AlphaFold 3 replaces the structure module with a diffusion model operating directly on atom coordinates, which lets one network cover protein–ligand, protein–nucleic-acid and antibody–antigen complexes. Reported accuracy substantially exceeds specialised docking tools on protein–ligand benchmarks. Published in Nature.
Novelty check
Docking and complex prediction had decades of specialised tools (AutoDock, RoseTTAFold All-Atom, and AlphaFold-Multimer for protein assemblies). The contribution is one model spanning molecule types at higher accuracy, not a new biological result; the structures it predicts are natural ones.
Caveats and known objections
At publication neither code nor weights were released, only a rate-limited web server, which drew an open letter from over a thousand researchers about reproducibility; weights for academic use followed in November 2024. Accuracy on antibody–antigen complexes and some nucleic-acid targets is far below the headline figures, and the model can produce confidently wrong hallucinated structure in disordered regions. Predictions are hypotheses, not measurements.
Nobody outside the lab has checked this yet.
Reading the primary source closely enough to say whether it supports the claim counts as a check, and you are credited on the entry.
Or on GitHub: submit a check challenge the grade send a correction or send a pull request
Flag this for triage
Signals order the review queue and nothing else. They are never published, and they never move a grade: that takes a citation.
Entry history (1 event)
- AddedEntered the registry graded Peer reviewed and AI-led.
Entries are never deleted. A grade that does not hold up is downgraded on the record, with the reason beside it.
Graded peer reviewed for verification and ai-led for autonomy. What these mean.
Cite this entry
whataifound.org. (2024). Joint structure prediction for proteins, nucleic acids and ligands (AlphaFold 3). whataifound.org: A Registry of AI Scientific and Mathematical Discoveries. https://whataifound.org/finding/2024-05-08-alphafold3BibTeX
@misc{whataifound-googledeepmind-2024-alphafold3,
title = {Joint structure prediction for proteins, nucleic acids and ligands (AlphaFold 3)},
author = {{whataifound.org}},
year = {2024},
howpublished = {whataifound.org: A Registry of AI Scientific and Mathematical Discoveries},
note = {Result by Google DeepMind / Isomorphic Labs. Verification: Peer reviewed. Autonomy: AI-led.},
url = {https://whataifound.org/finding/2024-05-08-alphafold3}
}