The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
AlphaFold2 and the future of structural biology
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Citations
Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Accurate prediction of protein structures and interactions using a 3-track network
Baek, M., DiMaio, F., Anishchenko, I., Dauparas, J., Ovchinnikov, S., Lee, G. R., Wang, J., Cong, Q., Kinch, L. N., Schaeffer, R. D., et al. (2021) · doi:10.1101/2021.06.14.448402 · Cited by 5,549
Highly accurate protein structure prediction for the human proteome
Tunyasuvunakool, K., Adler, J., Wu, Z., Green, T., Zielinski, M., Žídek, A., Bridgland, A., Cowie, A., Meyer, C., Laydon, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03828-1 · Cited by 3,025
HH-suite3 for fast remote homology detection and deep protein annotation
Steinegger, M., Meier, M., Mirdita, M., Vöhringer, H., Haunsberger, S. J., & Söding, J. (2019) · BMC Bioinformatics · doi:10.1186/s12859-019-3019-7 · Cited by 1,145
High‐accuracy protein structure prediction in CASP14
Pereira, J., Simpkin, A. J., Hartmann, M. D., Rigden, D. J., Keegan, R. M., & Lupas, A. N. (2021) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.26171 · Cited by 314
In-cell architecture of an actively transcribing-translating expressome
O’Reilly, F. J., Xue, L., Graziadei, A., Sinn, L., Lenz, S., Tegunov, D., Blötz, C., Singh, N., Hagen, W. J. H., Cramer, P., et al. (2020) · Science · doi:10.1126/science.abb3758 · Cited by 284
Self-citation
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Cited by
The AlphaFold Database of Protein Structures: A Biologist’s Guide
David, A., Islam, S., Tankhilevich, E., & Sternberg, M. J. E. (2022) · Journal of Molecular Biology · doi:10.1016/j.jmb.2021.167336 · Cited by 268
AFsample: improving multimer prediction with AlphaFold using massive sampling
Wallner, B. (2023) · Bioinformatics · doi:10.1093/bioinformatics/btad573 · Cited by 164
Protein structure prediction has reached the single-structure frontier
Lane, T. J. (2023) · Nature Methods · doi:10.1038/s41592-022-01760-4 · Cited by 125
Improved Multimer Prediction using Massive Sampling with AlphaFold in CASP15
Wallner, B. (2023) · doi:10.22541/au.168170986.60158084/v1 · Cited by 53
Improved multimer prediction using massive sampling with AlphaFold in CASP15
Wallner, B. (2023) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.26562 · Cited by 53
Metadata
- Authors
- Cramer, P.
- Venue
- Nature Structural & Molecular Biology
- Published
- 2021-08-10
- Volume
- 28
- Issue
- 9
- Pages
- 704-705
- ISSN
- 1545-9985 (ISSN-L)
- 1545-9993
- OpenAlex
- W3187251571
- Cited by
- 364
- References
- 6
- FWCI
- 18.18
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- www.springer.com/tdm (vor)
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- Cramer, P. (2021). AlphaFold2 and the future of structural biology. Nature Structural & Molecular Biology. https://doi.org/10.1038/s41594-021-00650-1
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
