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Accurate structure prediction of biomolecular interactions with AlphaFold 3

13,615
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June 13, 2024
Published Date

Research Abstract & Technology Focus

AbstractThe introduction of AlphaFold 21 has spurred a revolution in modelling the structure of proteins and their interactions, enabling a huge range of applications in protein modelling and design2–6. 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.2.37,8. Together, these results show that high-accuracy modelling across biomolecular space is possible within a single unified deep-learning framework.
accurate structure prediction biomolecular interactions alphafold
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crossref.org › academic paper
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Accurate structure prediction of biomolecular interactions with AlphaFold 3

AbstractThe introduction of AlphaFold 21 has spurred a revolution in modelling the structure of proteins and their interactions, enabling a huge range of applications in protein modelling and desig...
crossref.org › academic paper
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Addendum: Accurate structure prediction of biomolecular interactions with AlphaFold 3

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Protenix - Advancing Structure Prediction Through a Comprehensive AlphaFold3 Reproduction

In this technical report, we present Protenix, a comprehensive reproduction of AlphaFold3 (AF3), aimed at advancing the field of biomolecular structure prediction. Protenix tackles the challenges o...
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AlphaFold hits ‘next level’: the AI tool now includes protein pairing

The database of 200 million protein-structure predictions now includes homodimers, adding new biological relevance.
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Bilingual language model for protein sequence and structure

Abstract Adapting language models to protein sequences spawned the development of powerful protein language models (pLMs). Concurrently, AlphaFold2 broke through in protein struct...

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This literature focuses on: AbstractThe introduction of AlphaFold 21 has spurred a revolution in modelling the structure of proteins and their interactions, enabling a huge range of applications in protein modelling and design2–6. Here we describe our AlphaFold 3 model with ...

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Yes, highly correlated activity was mapped. An entry titled 'Accurate structure prediction of biomolecular interactions with AlphaFold 3' discusses this: AbstractThe introduction of AlphaFold 21 has spurred a revolution in modelling the structure of proteins and their interactions, enabling a huge ra...

Are there commercial applications of 'Accurate structure prediction of biomolecular interactions with AlphaFold 3' in market news publications?

Yes, highly correlated activity was mapped. An entry titled 'AlphaFold hits ‘next level’: the AI tool now includes protein pairing' discusses this: The database of 200 million protein-structure predictions now includes homodimers, adding new biological relevance.

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