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Harnessing advances in artificial intelligence for protein design

Nature Chemical Biology volume 22, pages 1–4 (2026)Cite this article

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Machine learning-based tools have revolutionized how scientists study protein structure. Here, Nature Chemical Biology speaks to Cecilia Clementi, Bruno Correia and Peilong Lu about progress in developing computational tools for predicting protein structure and properties, how these programs can be used for protein design, and the developments they would like to see in the field.

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References

  1. Lewis, S. et al. Science 389, eadv9817 (2025).

    Article  CAS  PubMed  Google Scholar 

  2. Butcher, J. et al. Preprint at bioRxiv https://doi.org/10.1101/2025.09.18.676967 (2025).

  3. Wang, T. et al. Nature 635, 1019–1027 (2024).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Wittmann, B. J. et al. Science 390, 82–87 (2025).

    Article  CAS  PubMed  Google Scholar 

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  1. Nature Chemical Biology https://www.nature.com/nchembio/

    Russell Johnson

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  1. Russell Johnson
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Correspondence to Russell Johnson.

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Johnson, R. Harnessing advances in artificial intelligence for protein design. Nat Chem Biol 22, 1–4 (2026). https://doi.org/10.1038/s41589-025-02110-z

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