The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Structure and inhibition of the SARS-CoV-2 main protease reveal strategy for developing dual inhibitors against M pro and cathepsin L
Open accessAbstract
X-ray crystal structures of SARS-CoV-2 M pro with dual inhibitors provide a new direction for the designing of COVID-19 antivirals.
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Citations
Cites
Coot : model-building tools for molecular graphics
Emsley, P., & Cowtan, K. (2004) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444904019158 · Cited by 30,571
Cell entry mechanisms of SARS-CoV-2
Shang, J., Wan, Y., Luo, C., Ye, G., Geng, Q., Auerbach, A., & Li, F. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2003138117 · Cited by 3,142
Ou, X., Liu, Y., Lei, X., Li, P., Mi, D., Ren, L., Guo, L., Guo, R., Chen, T., Hu, J., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-15562-9 · Cited by 3,097
Self-citationMarty, M. T., Baldwin, A. J., Marklund, E. G., Hochberg, G. K. A., Benesch, J. L. P., & Robinson, C. V. (2015) · Analytical Chemistry · doi:10.1021/acs.analchem.5b00140 · Cited by 1,000
Self-citation
Cited by
SARS-CoV-2 M pro inhibitors with antiviral activity in a transgenic mouse model
Qiao, J., Li, Y.-S., Zeng, R., Liu, F.-L., Luo, R.-H., Huang, C., Wang, Y.-F., Zhang, J., Quan, B., Shen, C., et al. (2021) · Science · doi:10.1126/science.abf1611 · Cited by 465
Self-citationNaturally Occurring Mutations of SARS-CoV-2 Main Protease Confer Drug Resistance to Nirmatrelvir
Hu, Y., Lewandowski, E. M., Tan, H., Zhang, X., Morgan, R. T., Zhang, X., Jacobs, L. M. C., Butler, S. G., Gongora, M. V., Choy, J., et al. (2023) · ACS Central Science · doi:10.1021/acscentsci.3c00538 · Cited by 333
Self-citationStructural biology of SARS-CoV-2: open the door for novel therapies
Yan, W., Zheng, Y., Zeng, X., He, B., & Cheng, W. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-00884-5 · Cited by 291
Ma, C., Tan, H., Choza, J., Wang, Y., & Wang, J. (2022) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2021.10.026 · Cited by 86
Self-citationNguyen, G. T. H., Bennett, J. L., Liu, S., Hancock, S. E., Winter, D. L., Glover, D. J., & Donald, W. A. (2021) · Journal of the American Chemical Society · doi:10.1021/jacs.1c10408 · Cited by 66
Metadata
- Authors
- Sacco, M. D., Ma, C., Lagarias, P., Gao, A., Townsend, J. A., Meng, X., Dube, P., Zhang, X., Hu, Y., Kitamura, N., Hurst, B., Tarbet, B., Marty, M. T., Kolocouris, A., Xiang, Y., Chen, Y., & Wang, J.
- Venue
- Science Advances
- Published
- 2020-12-11
- Volume
- 6
- Issue
- 50
- ISSN
- 2375-2548 (ISSN-L)
- OpenAlex
- W3097591292
- Cited by
- 385
- References
- 4
- FWCI
- 8.39
- Type
- journal article
- Language
- en
- Open access
- gold
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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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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.
