The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Naturally Occurring Mutations of SARS-CoV-2 Main Protease Confer Drug Resistance to Nirmatrelvir
Open accessAbstract
ABSTRACT The SARS-CoV-2 main protease (M pro ) is the drug target of Pfizer’s oral drug Paxlovid. The emergence of SARS-CoV-2 variants with mutations in M pro raised the alarm of potential drug resistance. In this study, we identified 100 naturally occurring M pro mutations located at the nirmatrelvir binding site, among which 20 mutants, including S144M/F/A/G/Y, M165T, E166G, H172Q/F, and Q192T/S/L/A/I/P/H/V/W/C/F, showed comparable enzymatic activity to the wild-type (k cat /K m <10-fold change) and resistance to nirmatrelvir (K i >10-fold increase). X-ray crystal structures were determined for seven representative mutants with and/or without GC-376/nirmatrelvir. Viral growth assay showed that M pro mutants with reduced enzymatic activity led to attenuated viral replication. Overall, our study identified several drug resistant hot spots that warrant close monitoring for possible clinical evidence of Paxlovid resistance. One Sentence Summary Paxlovid resistant SARS-CoV-2 viruses with mutations in the main protease have been identified from clinical isolates.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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
The CCP4 suite: programs for protein crystallography
Collaborative Computational Project, N. 4. (1994) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444994003112 · Cited by 17,270
SARS-CoV-2 variants, spike mutations and immune escape
Harvey, W. T., Carabelli, A. M., Jackson, B., Gupta, R. K., Thomson, E. C., Harrison, E. M., Ludden, C., Reeve, R., Rambaut, A., COVID-19 Genomics UK (COG-UK) Consortium, et al. (2021) · Nature Reviews Microbiology · doi:10.1038/s41579-021-00573-0 · Cited by 3,528
Oral Nirmatrelvir for High-Risk, Nonhospitalized Adults with Covid-19
Hammond, J., Leister-Tebbe, H., Gardner, A., Abreu, P., Bao, W., Wisemandle, W., Baniecki, M., Hendrick, V. M., Damle, B., Simón-Campos, A., et al. (2022) · New England Journal of Medicine · doi:10.1056/nejmoa2118542 · Cited by 2,323
An oral SARS-CoV-2 M pro inhibitor clinical candidate for the treatment of COVID-19
Owen, D. R., Allerton, C. M. N., Anderson, A. S., Aschenbrenner, L., Avery, M., Berritt, S., Boras, B., Cardin, R. D., Carlo, A., Coffman, K. J., et al. (2021) · Science · doi:10.1126/science.abl4784 · Cited by 2,033
SARS-CoV-2 Reverse Genetics Reveals a Variable Infection Gradient in the Respiratory Tract
Hou, Y. J., Okuda, K., Edwards, C. E., Martinez, D. R., Asakura, T., Dinnon, K. H., Kato, T., Lee, R. E., Yount, B. L., Mascenik, T. M., et al. (2020) · Cell · doi:10.1016/j.cell.2020.05.042 · Cited by 1,488
Ma, C., Sacco, M. D., Hurst, B., Townsend, J. A., Hu, Y., Szeto, T., Zhang, X., Tarbet, B., Marty, M. T., Chen, Y., et al. (2020) · Cell Research · doi:10.1038/s41422-020-0356-z · Cited by 880
Self-citationThe PDB_REDO server for macromolecular structure model optimization
Joosten, R. P., Long, F., Murshudov, G. N., & Perrakis, A. (2014) · IUCrJ · doi:10.1107/s2052252514009324 · Cited by 834
Multiple pathways for SARS-CoV-2 resistance to nirmatrelvir
Iketani, S., Mohri, H., Culbertson, B., Hong, S. J., Duan, Y., Luck, M. I., Annavajhala, M. K., Guo, Y., Sheng, Z., Uhlemann, A.-C., et al. (2023) · Nature · doi:10.1038/s41586-022-05514-2 · Cited by 480
Sacco, M. D., Ma, C., Lagarias, P., Gao, A., Townsend, J. A., Meng, X., Dube, P., Zhang, X., Hu, Y., Kitamura, N., et al. (2020) · Science Advances · doi:10.1126/sciadv.abe0751 · Cited by 385
Self-citation
Cited by
Generative artificial intelligence performs rudimentary structural biology modeling
Ille, A. M., Markosian, C., Burley, S. K., Mathews, M. B., Pasqualini, R., & Arap, W. (2024) · Scientific Reports · doi:10.1038/s41598-024-69021-2 · Cited by 16
Metadata
- Authors
- 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., Deng, X., Chen, Y., & Wang, J.
- Venue
- ACS Central Science
- Publisher
- American Chemical Society (ACS)
- Published
- 2023-07-24
- Volume
- 9
- Issue
- 8
- Pages
- 1658-1669
- ISSN
- 2374-7943 (ISSN-L)
- 2374-7951
- OpenAlex
- W4385215555
- Cited by
- 333
- References
- 37
- FWCI
- 58.86
- Type
- journal article
- Language
- en
- Open access
- diamond
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Naturally Occurring Mutations of SARS-CoV-2 Main Protease Confer Drug Resistance to Nirmatrelvir. https://app.cochat.ai/papers/10.1021/acscentsci.3c00538
- The paper
- 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., Deng, X., Chen, Y., & Wang, J. (2023). Naturally Occurring Mutations of SARS-CoV-2 Main Protease Confer Drug Resistance to Nirmatrelvir. ACS Central Science. https://doi.org/10.1021/acscentsci.3c00538
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.