The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
The Structural Basis of Peptide-Protein Binding Strategies
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Cites
Needleman, S. B., & Wunsch, C. D. (1970) · Journal of Molecular Biology · doi:10.1016/0022-2836(70)90057-4 · Cited by 11,288
Anatomy of hot spots in protein interfaces
Bogan, A. A., & Thorn, K. S. (1998) · Journal of Molecular Biology · doi:10.1006/jmbi.1998.1843 · Cited by 1,988
Guerois, R., Nielsen, J. E., & Serrano, L. (2002) · Journal of Molecular Biology · doi:10.1016/s0022-2836(02)00442-4 · Cited by 1,728
Dundas, J., Ouyang, Z., Tseng, J., Binkowski, A., Turpaz, Y., & Liang, J. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkl282 · Cited by 1,725
Cited by
Improved Docking of Polypeptides with Glide
Tubert-Brohman, I., Sherman, W., Repasky, M., & Beuming, T. (2013) · Journal of Chemical Information and Modeling · doi:10.1021/ci400128m · Cited by 1,308
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
Self-citationProtein-peptide docking: opportunities and challenges
Ciemny, M., Kurcinski, M., Kamel, K., Kolinski, A., Alam, N., Schueler-Furman, O., & Kmiecik, S. (2018) · Drug Discovery Today · doi:10.1016/j.drudis.2018.05.006 · Cited by 306
Self-citationLondon, N., Raveh, B., Movshovitz‐Attias, D., & Schueler‐Furman, O. (2010) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.22785 · Cited by 164
Self-citationTargeting protein–protein interactions, a wide open field for drug design
Bakail, M., & Ochsenbein, F. (2016) · Comptes Rendus. Chimie · doi:10.1016/j.crci.2015.12.004 · Cited by 117
Petukh, M., Li, M., & Alexov, E. (2015) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1004276 · Cited by 107
ASGR1 and its enigmatic relative, CLEC10A
Hoober, J. K. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21144818 · Cited by 74
Cierpicki, T., & Grembecka, J. (2015) · Immunological Reviews · doi:10.1111/imr.12244 · Cited by 53
A membrane protein complex docking benchmark
Koukos, P. I., Faro, I., van Noort, C. W., & Bonvin, A. M. J. J. (2018) · Journal of Molecular Biology · doi:10.1016/j.jmb.2018.11.005 · Cited by 23
InterPepScore: a deep learning score for improving the FlexPepDock refinement protocol
Johansson-Åkhe, I., & Wallner, B. (2022) · Bioinformatics · doi:10.1093/bioinformatics/btac325 · Cited by 6
Deep learning molecular interaction motifs from receptor structures alone
Kim, S., Oh, S., Woo, H., Sim, J., Seok, C., & Park, H. (2025) · Journal of Cheminformatics · doi:10.1186/s13321-025-01055-8 · Cited by 3
Metadata
- Authors
- London, N., Movshovitz-Attias, D., & Schueler-Furman, O.
- Venue
- Structure
- Publisher
- Elsevier BV
- Published
- 2010-02
- Volume
- 18
- Issue
- 2
- Pages
- 188-199
- ISSN
- 0969-2126 (ISSN-L)
- OpenAlex
- W2054954101
- Cited by
- 416
- References
- 4
- FWCI
- 9.45
- 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.
