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AlphaFold and the future of structural biology

Abstract:: This editorial acknowledges the transformative impact of new machine-learning methods, such as the use of AlphaFold, but also makes the case for the continuing need for experimental structural biology.

Publication status:: Published

Peer review status:: Peer reviewed

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APA Style

Read, R. J., Baker, E. N., Bond, C. S., Garman, E. F., & van Raaij, M. J. (2023). AlphaFold and the future of structural biology. Acta Crystallographica Section F: Structural Biology Communications, 79(Part 7), 166–168.

MLA Style

Read, RJ, et al. “AlphaFold and the Future of Structural Biology.” Acta Crystallographica Section F: Structural Biology Communications, vol. 79, no. Part 7, 2023, pp. 166–68.

Chicago Style

Read, RJ, EN Baker, CS Bond, EF Garman, and MJ van Raaij. 2023. “AlphaFold and the Future of Structural Biology.” Acta Crystallographica Section F: Structural Biology Communications 79 (Part 7): 166–68.
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Files:: Read_et_al_2023_AlphaFold_and_the.pdf

(Preview, Version of record, pdf, 199.5KB, Terms of use)

Publisher copy:: 10.1107/s2053230x23004934

Authors

+ Read, RJ More by this author

Role:: Author

+ Baker, EN More by this author

Role:: Author

+ Bond, CS More by this author

Role:: Author

+ Garman, EF More by this author

Institution:: University of Oxford
Division:: MSD
Department:: Biochemistry
Oxford college:: Brasenose College
Role:: Author
ORCID:: 0000-0001-8329-5665

+ van Raaij, MJ More by this author

Role:: Author

Publisher:: International Union of Crystallography
Journal:: Acta Crystallographica Section F: Structural Biology Communications More from this journal
Volume:: 79
Issue:: Part 7
Pages:: 166-168
Place of publication:: United States
Publication date:: 2023-06-26
DOI:: 10.1107/s2053230x23004934
EISSN:: 2053-230X
Pmid:: 37358500

Language:: English
Keywords:: machine learning and artificial intelligence

protein conformation

crystallography

x-ray

cryoelectron microscopy

biology
Pubs id:: 1489580
Local pid:: pubs:1489580
Source identifiers:: W4382011630
Deposit date:: 2026-05-21
ARK identifier:: ark:/29072/ora_e70b31f660da405e8c339d676c9f5299

Terms of use

Copyright holder:: Read et al
Copyright date:: 2023

Licence:: Other

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