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Big data and benchmarking initiatives to bridge the gap from AlphaFold to drug design

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AlphaFold is a breakthrough in protein structure prediction, but limitations in its application to computation- and structure-guided drug discovery remain. As with structure prediction, public-domain data and benchmarking initiatives will be essential to advance the field of computational drug design.

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Fig. 1: Comparison of inactive and active conformations of Cbl-b, the latter induced by phosphorylation.
Fig. 2: Comparison of ligand-free and ligand-bound pockets.

References

  1. Jumper, J. et al. Nature 596, 583–589 (2021).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  2. Elofsson, A. Curr. Opin. Struct. Biol. 80, 102594 (2023).

    Article  CAS  PubMed  Google Scholar 

  3. Chakravarty, D. & Porter, L. L. Protein Sci. 31, e4353 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Hekkelman, M. L., de Vries, I., Joosten, R. P. & Perrakis, A. Nat. Methods 20, 205–213 (2023).

    Article  CAS  PubMed  Google Scholar 

  5. Humphreys, I. R. et al. Science 374, eabm4805 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Baek, M. et al. Nat. Methods 21, 117–121 (2024).

    Article  CAS  PubMed  Google Scholar 

  7. Zhang, Y. et al. J. Chem. Inf. Model. 63, 1656–1667 (2023).

    Article  CAS  PubMed  Google Scholar 

  8. Holcomb, M., Chang, Y.-T., Goodsell, D. S. & Forli, S. Protein Sci. 32, e4530 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Kersten, C., Clower, S. & Barthels, F. J. Chem. Inf. Model. 63, 2218–2225 (2023).

    Article  CAS  PubMed  Google Scholar 

  10. Carter, A. J. et al. Drug Discov. Today 24, 2111–2115 (2019).

    Article  CAS  PubMed  Google Scholar 

  11. Smith, J. S., Isayev, O. & Roitberg, A. E. Chem. Sci. 8, 3192–3203 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Beuming, T. et al. J. Chem. Inf. Model. 62, 4351–4360 (2022).

    Article  CAS  PubMed  Google Scholar 

  13. Díaz-Rovira, A. M. et al. J. Chem. Inf. Model. 63, 1668–1674 (2023).

    Article  PubMed  Google Scholar 

  14. Lyu, J. et al. Preprint at bioRxiv https://doi.org/10.1101/2023.12.20.572662 (2023).

  15. Ackloo, S. et al. Nat. Rev. Chem. 6, 287–295 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

The Structural Genomics Consortium is a registered charity (UK charities commission no. 1097737) that receives funds from Bayer AG, Boehringer Ingelheim, Bristol Myers Squibb, Genentech, Genome Canada through the Ontario Genomics Institute (OGI-196), EU/EFPIA/OICR/McGill/KTH/Diamond Innovative Medicines Initiative 2 Joint Undertaking (EUbOPEN grant 875510), Janssen, Merck (known as EMD in Canada and the United States), Pfizer and Takeda.

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M.S. and R.J.H. created the figures. M.S., R.J.H., L.H. and C.H.A. conceived and wrote this Commentary.

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Correspondence to Rachel J. Harding.

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Schapira, M., Halabelian, L., Arrowsmith, C.H. et al. Big data and benchmarking initiatives to bridge the gap from AlphaFold to drug design. Nat Chem Biol (2024). https://doi.org/10.1038/s41589-024-01570-z

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