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AlphaFold 3 predicts structures and interactions of all life's molecules

★★★★scienceGoogle DeepMindIsomorphic Labsconfidence: high

AlphaFold 3 extended structure prediction from proteins to complexes with DNA, RNA, ligands and ions, using a diffusion-based architecture, with at least 50% improvement on protein–ligand interactions over prior methods.

Key facts

Science result

Field
biology / structural biology / drug discovery
Problem
Predicting 3D structures of biomolecular complexes (protein–ligand, protein–DNA/RNA, antibodies)
Result
Single diffusion-based model predicting joint structures of proteins, nucleic acids, ligands and ions, with at least 50% better accuracy on protein–ligand interactions than prior methods.
AI system
AlphaFold 3
Human role
Human-designed system; predictions autonomous
Verification
Peer-reviewed in Nature (May 2024); benchmarked on PoseBusters
Status
confirmed

What happened

Google DeepMind and Isomorphic Labs released a model predicting how biomolecules fit together, aimed at drug discovery.

Why it matters

Moved AI structural biology from single proteins to the molecular interactions that matter for medicine.

Changelog

  • 2026-09-29: created
  • 2026-09-29: added science block (science & math tab)

Related events

  1. AlphaFold 2 solves protein structure prediction at CASP14 ★★★★★
  2. Nobel Prize in Chemistry for protein design and AlphaFold ★★★★★
  3. Isomorphic Labs raises $2.1B Series B; first human trials of its AI-designed drugs slip to end-2026 ★★★
  4. FT: Google DeepMind has broken up its Nobel-winning AlphaFold team; Jumper, Adler and Pritzel now at Anthropic ★★★

Sources (3)

id: 2024-05-08-alphafold-3 · updated 2026-09-29 · open in the interactive timeline