# Accurate structure prediction of biomolecular interactions with AlphaFold 3

Article · Josh Abramson, Jonas Adler, Jack Dunger, Richard Evans, Tim Green, Alexander Pritzel, Olaf Ronneberger, Lindsay Willmore, Andrew J. Ballard, Joshua Bambrick, Sebastian W. Bodenstein, David A. Evans, Chia-Chun Hung, Michael O’Neill, David Reiman, Kathryn Tunyasuvunakool, Zachary Wu, Akvilė Žemgulytė, Eirini Arvaniti, Charles Beattie, Ottavia Bertolli, Alex Bridgland, Alexey Cherepanov, Miles Congreve, Alexander I. Cowen-Rivers and 23 more

- Archive id: doi:10.1038/s41586-024-07487-w
- Published: 2024-05-08
- Venue: Nature
- DOI: https://doi.org/10.1038/s41586-024-07487-w
- PMID: 38718835
- PMCID: PMC11168924
- Citations: 15,805
- Source URL: https://doi.org/10.1038/s41586-024-07487-w
- PDF: https://europepmc.org/articles/PMC11168924/pdf
- Provenance: openalex+europepmc

## Abstract

Abstract The introduction of AlphaFold 2 1 has spurred a revolution in modelling the structure of proteins and their interactions, enabling a huge range of applications in protein modelling and design 2–6 . Here we describe our AlphaFold 3 model with a substantially updated diffusion-based architecture that is capable of predicting the joint structure of complexes including proteins, nucleic acids, small molecules, ions and modified residues. The new AlphaFold model demonstrates substantially improved accuracy over many previous specialized tools: far greater accuracy for protein–ligand interactions compared with state-of-the-art docking tools, much higher accuracy for protein–nucleic acid interactions compared with nucleic-acid-specific predictors and substantially higher antibody–antigen prediction accuracy compared with AlphaFold-Multimer v.2.3 7,8 . Together, these results show that high-accuracy modelling across biomolecular space is possible within a single unified deep-learning framework.

_Abstract reproduced under CC-BY (publisher license, via OpenAlex)._

Topics: [AI Protein Design & Structure Prediction](https://space-kitty.com/topics/protein-design)

Cited in dossiers:
- [AI Protein Design & Structure Prediction: State of the Field (October 2026)](https://space-kitty.com/dossiers/protein-design)

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