The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Metapredict: a fast, accurate, and easy-to-use predictor of consensus disorder and structure
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Cites
Hochreiter, S., & Schmidhuber, J. (1997) · Neural Computation · doi:10.1162/neco.1997.9.8.1735 · Cited by 102,318
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
Principles that Govern the Folding of Protein Chains
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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
Dynamic personalities of proteins
Henzler-Wildman, K., & Kern, D. (2007) · Nature · doi:10.1038/nature06522 · Cited by 2,545
From Levinthal to pathways to funnels
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Harnessing protein folding neural networks for peptide–protein docking
Tsaban, T., Varga, J. K., Avraham, O., Ben-Aharon, Z., Khramushin, A., & Schueler-Furman, O. (2022) · Nature Communications · doi:10.1038/s41467-021-27838-9 · Cited by 1,205
Sequence-Level Knowledge Distillation
Kim, Y., & Rush, A. M. (2016) · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/d16-1139 · Cited by 836
D2P2: database of disordered protein predictions
Oates, M. E., Romero, P., Ishida, T., Ghalwash, M., Mizianty, M. J., Xue, B., Dosztányi, Z., Uversky, V. N., Obradovic, Z., Kurgan, L., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1226 · Cited by 705
Critical assessment of protein intrinsic disorder prediction
Necci, M., Piovesan, D., Predictors, C., Hoque, M. T., Walsh, I., Iqbal, S., Vendruscolo, M., Sormanni, P., Wang, C., Raimondi, D., et al. (2021) · Nature Methods · doi:10.1038/s41592-021-01117-3 · Cited by 343
Describing sequence–ensemble relationships for intrinsically disordered proteins
Mao, A. H., Lyle, N., & Pappu, R. V. (2013) · Biochemical Journal · doi:10.1042/bj20121346 · Cited by 135
Can AlphaFold2 predict protein-peptide complex structures accurately?
Ko, J., & Lee, J. (2021) · doi:10.1101/2021.07.27.453972 · Cited by 83
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Cho, N. H., Cheveralls, K. C., Brunner, A.-D., Kim, K., Michaelis, A. C., Raghavan, P., Kobayashi, H., Savy, L., Li, J. Y., Canaj, H., et al. (2022) · Science · doi:10.1126/science.abi6983 · Cited by 567
Systematic identification of conditionally folded intrinsically disordered regions by AlphaFold2
Alderson, T. R., Pritišanac, I., Kolarić, Đ., Moses, A. M., & Forman-Kay, J. D. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2304302120 · Cited by 240
Lambourne, L., Mattioli, K., Santoso, C., Sheynkman, G., Inukai, S., Kaundal, B., Berenson, A., Spirohn-Fitzgerald, K., Bhattacharjee, A., Rothman, E., et al. (2025) · Molecular Cell · doi:10.1016/j.molcel.2025.03.004 · Cited by 42
Self-citationA promiscuous mechanism to phase separate eukaryotic carbon fixation in the green lineage
Barrett, J., Naduthodi, M. I. S., Mao, Y., Dégut, C., Musiał, S., Salter, A., Leake, M. C., Plevin, M. J., McCormick, A. J., Blaza, J. N., et al. (2024) · Nature Plants · doi:10.1038/s41477-024-01812-x · Cited by 37
Proteogenomics reveals sex-biased aging genes and coordinated splicing in cardiac aging
Han, Y., Wennersten, S. A., Wright, J. M., Ludwig, R. W., Lau, E., & Lam, M. P. Y. (2022) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.00244.2022 · Cited by 31
Metadata
- Authors
- Emenecker, R. J., Griffith, D., & Holehouse, A. S.
- Venue
- Biophysical Journal
- Publisher
- Elsevier BV
- Published
- 2021-10
- Volume
- 120
- Issue
- 20
- Pages
- 4312-4319
- ISSN
- 0006-3495 (ISSN-L)
- OpenAlex
- W3196691244
- Cited by
- 259
- References
- 12
- FWCI
- 10.00
- Type
- journal article
- Language
- en
- Open access
- bronze
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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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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.
