Predicting Nirmatrelvir Resistance in SARS-CoV-2 M(pro) Mutants with an Integrated Computational Framework.
- DOI
- 10.1021/acs.jpcb.6c02208
- Published
- 2026 Jul 16
- Container
- The journal of physical chemistry. B
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/acs.jpcb.6c02208,
title = {Predicting Nirmatrelvir Resistance in SARS-CoV-2 M(pro) Mutants with an Integrated Computational Framework.},
author = {Zhao F and Xia W and Xu Y and Wu X and Hu S and Zhang JZH},
year = {2026},
journal = {The journal of physical chemistry. B},
doi = {10.1021/acs.jpcb.6c02208},
url = {https://doi.org/10.1021/acs.jpcb.6c02208}
}RIS
TY - JOUR TI - Predicting Nirmatrelvir Resistance in SARS-CoV-2 M(pro) Mutants with an Integrated Computational Framework. AU - Zhao F AU - Xia W AU - Xu Y AU - Wu X AU - Hu S AU - Zhang JZH PY - 2026 JO - The journal of physical chemistry. B DO - 10.1021/acs.jpcb.6c02208 UR - https://doi.org/10.1021/acs.jpcb.6c02208 ER -
APA
F, Z., W, X., Y, X., X, W., S, H., & JZH, Z. (2026). Predicting Nirmatrelvir Resistance in SARS-CoV-2 M(pro) Mutants with an Integrated Computational Framework.. The journal of physical chemistry. B. https://doi.org/10.1021/acs.jpcb.6c02208
Source records
- pubmed · retrieved 2026-09-25T10:04:55.763Z