- NEWS FEATURE
- Correction 25 April 2022
What's next for AlphaFold and the AI protein-folding revolution
A top-down view of the human nuclear pore complex, the largest molecular machine in human cells. Credit: Agnieszka Obarska-Kosinska
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
Subscribe to this journal
Receive 51 print issues and online access
Rent or buy this article
Prices vary by article type
Prices may be subject to local taxes which are calculated during checkout
Nature 604, 234-238 (2022)
doi: https://doi.org/10.1038/d41586-022-00997-5
Updates & Corrections
-
Correction 25 April 2022: An earlier version of this story erroneously described Gerhard Hummer as a biochemist.
References
Kosinski, J. et al. Science 5, 363–365 (2016).
Jumper, J. et al. Nature 596, 583–589 (2021).
Mosalaganti, S. et al. Preprint at bioRxiv https://doi.org/10.1101/2021.10.26.465776 (2021).
Baek, M. et al. Science 373, 871–876 (2021).
Hartmann, S. et al. Preprint at bioRxiv https://doi.org/10.1101/2022.01.21.477219 (2022).
van Kempen, M. et al. Preprint at bioRxiv https://doi.org/10.1101/2022.02.07.479398 (2022).
Anishchenko, I. et al. Nature 600, 547–552 (2021).
Evans, R. et al. Preprint at bioRxiv https://doi.org/10.1101/2021.10.04.463034 (2021).
Bryant, P., Pozzati, G. & Elofsson, A. Nature Commun. 13, 1265 (2022).
Humphreys, I. R. et al. Science 374, eabm4805 (2021).
Buel, G. R. & Walters, K. J. Nature Struct. Mol. Biol. 29, 1–2 (2022).
DeepMind’s AI predicts structures for a vast trove of proteins
DeepMind’s AI for protein structure is coming to the masses
Artificial intelligence powers protein-folding predictions