reviewInternational Journal of Molecular SciencesApr 13, 2025GOLD OA

AlphaFold3: An Overview of Applications and Performance Insights

MGMarios G. KrokidisDEDimitrios E. KoumadorakisKLKonstantinos LazarosOIOuliana IvantsikTPThemis P. Exarchos

Ionian University · University of Patras

PubMed
Indexed incrossrefpubmed

Abstract

AlphaFold3, the latest release of AlphaFold developed by Google DeepMind and Isomorphic Labs, was designed to predict protein structures with remarkable accuracy. AlphaFold3 enhances our ability to model not only single protein structures but also complex biomolecular interactions, including protein-protein interactions, protein-ligand docking, and protein-nucleic acid complexes. Herein, we provide a detailed examination of AlphaFold3's capabilities, emphasizing its applications across diverse biological fields and its effectiveness in complex biological systems. The strengths of the new AI model are also highlighted, including its ability to predict protein structures in dynamic systems, multi-chain…

Citation impact

84
total citations
FWCI
51.76
Percentile
100%
References
68
Citations per year

Authors

8

Topics & keywords

Topics
Keywords
  • Computational biology
  • Computer science
  • Drug discovery
  • Protein–protein interaction
  • Systems biology
  • Data science
  • Nanotechnology
  • Biology
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