Infrastructure · Biology · Medicine

AlphaFold 3 extends structure prediction to biomolecular complexes

Structure predictions for biomolecular complexes involving proteins, nucleic acids, ligands, ions, and modified residues.

Summary

The Nature paper presents AlphaFold 3, a model for predicting structures of complexes containing proteins, nucleic acids, ligands, ions and modified residues. It reports higher performance than specialized methods across most categories while noting remaining accuracy challenges.

AI role

Extended structure prediction from single proteins toward molecular interactions and complexes relevant to biology and drug discovery.

Narrative role

AlphaFold 3 is a major continuation of the AlphaFold story: it shifts the milestone from static protein structures toward interaction-level biological modeling.

Caveat

The paper reports remaining accuracy limits, and structure prediction still needs experimental and functional follow-up.