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References
Jumper, J. et al. Nature https://doi.org/10.1038/s41586-021-03819-2 (2021).
Tunyasuvunakool, K. et al. Nature https://doi.org/10.1038/s41586-021-03828-1 (2021).
Steinegger, M. et al. BMC Bioinformatics 20, 473 (2019).
Pereira, J. et al. Proteins https://doi.org/10.1002/prot.26171 (2021).
AlQuraishi, M. Bioinformatics 35, 4862–4865 (2019).
Baek, M. et al. Science https://doi.org/10.1126/science.abj8754 (2021).
Berman, H. M. Nat. Struct. Mol. Biol. 28, 400–401 (2021).
Walzthoeni, T., Leitner, A., Stengel, F. & Aebersold, R. Curr. Opin. Struct. Biol. 23, 252–260 (2013).
Rossmann, M. G. Acta Crystallogr. D Biol. Crystallogr. 57, 1360–1366 (2001).
Cramer, P. Cell 182, 787–789 (2020).
Masarati, G. et al. J. Mol. Biol. https://doi.org/10.1016/j.jmb.2021.167127 (2021).
Xu, Y. et al. J. Chem. Inf. Model. 60, 2773–2790 (2020).
Borcherds, W., Bremer, A., Borgia, M. B. & Mittag, T. Curr. Opin. Struct. Biol. 67, 41–50 (2021).
Turk, M. & Baumeister, W. FEBS Lett. 594, 3243–3261 (2020).
Tegunov, D., Xue, L., Dienemann, C., Cramer, P. & Mahamid, J. Nat. Methods 18, 186–193 (2021).
O’Reilly, F. J. et al. Science 369, 554–557 (2020).
Bykov, Y. S., Cortese, M., Briggs, J. A. & Bartenschlager, R. FEBS Lett. 590, 1877–1895 (2016).
Holmes, K. C. Endeavour 33, 60–66 (1974).
Hendrickson, W. A., Horton, J. R. & LeMaster, D. M. EMBO J. 9, 1665–1672 (1990).
McMullan, G., Faruqi, A. R. & Henderson, R. Methods Enzymol. 579, 1–17 (2016).
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I thank S. Dodonova, J. Söding and D. Tegunov for comments.
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Cramer, P. AlphaFold2 and the future of structural biology. Nat Struct Mol Biol 28, 704–705 (2021). https://doi.org/10.1038/s41594-021-00650-1
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DOI: https://doi.org/10.1038/s41594-021-00650-1
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