{"architecture":{"family":"Pairformer + diffusion structure module","input":"sequences of all chains, ligand SMILES/CCD codes, ions","output":"all-atom coordinates of the complex, confidence metrics","pretraining":"supervised on PDB complexes + distillation"},"article":null,"cancer_slugs":["pan-cancer"],"category":"protein-structure","confidence":"high","datasets":[{"name":"Protein Data Bank (wwPDB / RCSB)","note":"","role":"training","slug":"pdb"}],"developer":"Google DeepMind / Isomorphic Labs","evaluation":[{"benchmark":"PoseBusters (protein\u2013ligand)","external":true,"metric":"% poses within 2 \u00c5 RMSD","source":"https://www.nature.com/articles/s41586-024-07487-w","value":"substantially above docking baselines (paper)"}],"hf":null,"kind":"foundation","license":"CC-BY-NC-SA 4.0 (code); model parameters under academic non-commercial terms","limitations":"- Hallucinated structure in disordered regions; occasional chirality/clash errors flagged by the confidence outputs.\n- Non-commercial weights; commercial drug-discovery use is licensed separately.","links":{"demo":"https://alphafoldserver.com/","docs":null,"doi":"10.1038/s41586-024-07487-w","github":"https://github.com/google-deepmind/alphafold3","huggingface":null,"paper":"https://www.nature.com/articles/s41586-024-07487-w","pmid":null},"modalities":["protein-sequence","molecules","genomics"],"name":"AlphaFold 3","notable_uses":"","openness":"gated-weights","regulatory":{"intended_use_en":"Research tool.","intended_use_pl":"Narz\u0119dzie badawcze.","source_url":"https://github.com/google-deepmind/alphafold3","status":"not-applicable"},"regulatory_status":"not-applicable","release_date":"2024-05-08","run_snippet":"","settings":["basic-research","drug-discovery"],"slug":"alphafold-3","sources":[{"label":"Abramson J et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 2024","url":"https://www.nature.com/articles/s41586-024-07487-w"},{"label":"GitHub \u2014 google-deepmind/alphafold3","url":"https://github.com/google-deepmind/alphafold3"}],"summary":"Diffusion-based successor that predicts joint structures of proteins with DNA, RNA, ligands, ions and modified residues \u2014 the interaction types that matter for drug design and for understanding oncogenic complexes.","tasks":["protein-structure","drug-discovery"],"training":{"institutions":"DeepMind, Isomorphic Labs","summary_en":"Protein Data Bank complexes including ligands and nucleic acids (cut-off 2021), with distillation data as in AlphaFold 2.","summary_pl":"Kompleksy z Protein Data Bank z ligandami i kwasami nukleinowymi (do 2021), z danymi destylacyjnymi jak w AlphaFold 2."},"updated_at":"2026-09-05T22:26:00.993521","url":"/ai-oncology/models/alphafold-3","usage":{"hardware":"GPU with \u2265 80 GB recommended for large complexes","library":"JAX (repo)","notes_en":"Model parameters are granted for academic use on request (form linked from the repo); commercial use requires a licence from Isomorphic Labs. The Server is the zero-setup route."},"verified_at":"2026-09-05T22:26:00.993178","verified_by":"editorial","version":"3","what_it_does":"Models complexes (protein\u2013ligand, protein\u2013nucleic acid, antibody\u2013antigen) in one network; AlphaFold Server offers free non-commercial predictions, and the code and weights (on request) allow local runs."}