AlphaFold is a neural-network-based approach to predicting protein structures with high accuracy. We describe how it works in general terms and discuss some anticipated impacts on the field of structural biology.
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Acknowledgements
We thank K. Tunyasuvunakool for helping with the figure; R. Bates, M. Figurnov, T. Green and Z. Wu for their suggestions and comments; and C. Meyer for helping to prepare the manuscript.
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The authors have filed patent applications in the name of DeepMind Technologies Limited relating to machine learning for protein structure prediction.
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Jumper, J., Hassabis, D. Protein structure predictions to atomic accuracy with AlphaFold. Nat Methods 19, 11–12 (2022). https://doi.org/10.1038/s41592-021-01362-6
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DOI: https://doi.org/10.1038/s41592-021-01362-6
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