articleNatureMay 8, 2024HYBRID OA

Accurate structure prediction of biomolecular interactions with AlphaFold 3

Google DeepMind (United Kingdom) · Google (United Kingdom) · +3 more institutions

PubMed
Indexed incrossrefpubmed

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…

Citation impact

13,074
total citations
FWCI
2736.99
Percentile
100%
References
77
Citations per year

Authors

48

Topics & keywords

Keywords
  • Computational biology
  • Computer science
  • Biology
No related works found for this paper.