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Structure prediction

AlphaFold3 takes a step toward decoding molecular behavior and biological computation

Nature Structural & Molecular Biology volume 31, pages 997–1000 (2024)Cite this article

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AlphaFold 3 represents a breakthrough in predicting the 3D structures of complexes directly from their sequences, offering insights into biomolecular interactions. Extending predictions to molecular behavior and function requires a shift from viewing biomolecules as static 3D structures to dynamic conformational ensembles.

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Fig. 1: Decoding the programming language of molecular biology.

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Acknowledgements

This work was supported by National Institute of Health (NIH) and US National Institute for General Medical Sciences (NIGMS) grants 1R01AI178848-01 and U54AI150470 to H.M.A.

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Authors and Affiliations

  1. Center for Genomic and Computational Biology, Duke University School of Medicine, Durham, NC, USA

    Rohit Roy

  2. Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA

    Hashim M. Al-Hashimi

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  1. Rohit Roy
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  2. Hashim M. Al-Hashimi
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Correspondence to Hashim M. Al-Hashimi.

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Competing interests

H.M.A. is an adviser to and holds an ownership interest in Base4, an RNA-based drug discovery company. R.R. declares no competing interest.

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Roy, R., Al-Hashimi, H.M. AlphaFold3 takes a step toward decoding molecular behavior and biological computation. Nat Struct Mol Biol 31, 997–1000 (2024). https://doi.org/10.1038/s41594-024-01350-2

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