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Journal article : Editorial

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 D - Structural Biology, 79(7), 556–558.

MLA Style

Read, RJ, et al. “AlphaFold and the Future of Structural Biology.” Acta Crystallographica Section D - Structural Biology, vol. 79, no. 7, 2023, pp. 556–58.

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 D - Structural Biology 79 (7): 556–58.
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Files:: Read_et_al_2023_AlphaFold_and_the.pdf

(Preview, Version of record, pdf, 192.7KB, Terms of use)

Publisher copy:: 10.1107/s2059798323004928

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 D - Structural Biology More from this journal
Volume:: 79
Issue:: 7
Pages:: 556-558
Publication date:: 2023-06-26
DOI:: 10.1107/s2059798323004928
EISSN:: 2059-7983
Pmid:: 37378959

Language:: English
Keywords:: x-ray crystallography

biology

machine learning

protein conformation

cryoelectron microscopy

machine learning and artificial intelligence

AlphaFold

protein structure prediction

crystallography

cryo-EM
Subtype:: Editorial
Pubs id:: 1489579
UUID:: uuid_a92e876c-8d84-4b90-88b8-c2daa34c95dc
Local pid:: pubs:1489579
Source identifiers:: W4382056850
Deposit date:: 2026-01-30
ARK identifier:: ark:/29072/ora_a92e876c8d844b9088b8c2daa34c95dc

Terms of use

Copyright holder:: Read et al.
Copyright date:: 2023
Rights statement:: Copyright © 2023 The Author(s).

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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