Joint structure prediction for proteins, nucleic acids and ligands (AlphaFold 3)
Joint structure prediction for proteins, nucleic acids and ligands (AlphaFold 3) is graded peer reviewed on whataifound.org, with the AI's role graded ai-led.
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.
- Verification
- Peer reviewed
- Autonomy
- AI-led
- Lab
- Google DeepMind / Isomorphic Labs
- 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
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.
Sources
How this is graded
whataifound.org grades every entry on two axes: verification (how solid the result is, from a machine-checked proof down to refuted) and autonomy (how much the AI did versus its human collaborators). This finding is peer reviewed and ai-led. Full definitions are in the methodology.
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-alphafold3