The DOI matches its Crossref record.
‘The entire protein universe’: AI predicts shape of nearly every known protein
Overview
Integrity signals
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“In fact, precalculated structures for 200 million protein sequences are already available online,282”
From Advancing Targeted Protein Degradation via Multiomics Profiling and Artificial Intelligence (2023) · cites this paper as [282]
Citations
Cited by
Sorted by citations
Über die Statistik verketteter Vorgänge
Eggenberger, F., & Pólya, G. (1923) · ZAMM ‐ Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik · doi:10.1002/zamm.19230030407 · Cited by 497
Harrer, S. (2023) · eBioMedicine · doi:10.1016/j.ebiom.2023.104512 · Cited by 480
“…of our times, DeepMind ’ s AlphaFold system capable of predicting structure and thus biological function of virtually any protein in existence, 26 we are potentially looking at one of the most transformative and powerful tools hu-mankind will ever have created to understand and navigate…”
BackgroundAhdritz, G., Bouatta, N., Floristean, C., Kadyan, S., Xia, Q., Gerecke, W., O’Donnell, T. J., Berenberg, D., Fisk, I., Zanichelli, N., et al. (2024) · Nature Methods · doi:10.1038/s41592-024-02272-z · Cited by 439
“The model has been made available to the public with DeepMind’s official open-source implementation, which has been used to predict the structures of hundreds of millions of proteins (Tunyasuvunakool et al. 2021, Varadi et al. 2021, Callaway 2022).”
MethodUsing evolutionary data to make sense of macromolecules with a “face‐lifted” ConSurf
Yariv, B., Yariv, E., Kessel, A., Masrati, G., Chorin, A. B., Martz, E., Mayrose, I., Pupko, T., & Ben‐Tal, N. (2023) · Protein Science · doi:10.1002/pro.4582 · Cited by 425
“In this respect, it is noteworthy that AlphaFold structures are now available for most UniProt proteins (Callaway 2022).”
BackgroundTerwilliger, T. C., Liebschner, D., Croll, T. I., Williams, C. J., McCoy, A. J., Poon, B. K., Afonine, P. V., Oeffner, R. D., Richardson, J. S., Read, R. J., et al. (2024) · Nature Methods · doi:10.1038/s41592-023-02087-4 · Cited by 411
“…using AlphaFold 1 , RoseTTAFold 2 and related methods 3 are far more accurate than previous generations of prediction algorithms 4 , bringing much closer to reality the biological understanding that could be derived from knowing the three-dimensional structures of all macromolecules 1,2,5–9 .”
Metadata
- Authors
- Callaway, E.
- Corresponding author
- Callaway, Ewen
- Venue
- Nature
- Published
- 2022-07-28
- Volume
- 608
- Issue
- 7921
- Pages
- 15-16
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W4288428465
- Cited by
- 113
- References
- 0
- Citations by year
- 2026: 9 · 2025: 15 · 2024: 26 · 2023: 44 · 2022: 18
- Type
- other
- Language
- en
- Open access
- closed
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Machine Learning in Bioinformatics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Structural Biology › Enzyme Structure and Function
- Keywords
- AlphaFold, protein structure prediction, protein structure database, DeepMind
- MeSH terms
- Artificial Intelligence, Protein Conformation, Proteins, Computational Biology
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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