Efficient discovery of potential inhibitors for SARS-CoV-2 3C-like protease from herbal extracts using a native MS-based affinity-selection method.

MLA

Zhu, Dafu, et al. “Efficient Discovery of Potential Inhibitors for SARS-CoV-2 3C-like Protease from Herbal Extracts Using a Native MS-Based Affinity-Selection Method.” Journal of Pharmaceutical and Biomedical Analysis, vol. 209, Feb. 2022, p. 114538. EBSCOhost, https://doi.org/10.1016/j.jpba.2021.114538.

APA

Zhu, D., Su, H., Ke, C., Tang, C., Witt, M., Quinn, R. J., Xu, Y., Liu, J., & Ye, Y. (2022). Efficient discovery of potential inhibitors for SARS-CoV-2 3C-like protease from herbal extracts using a native MS-based affinity-selection method. Journal of Pharmaceutical and Biomedical Analysis, 209, 114538. https://doi.org/10.1016/j.jpba.2021.114538

Chicago

Zhu, Dafu, Haixia Su, Changqiang Ke, Chunping Tang, Matthias Witt, Ronald J Quinn, Yechun Xu, Jia Liu, and Yang Ye. 2022. “Efficient Discovery of Potential Inhibitors for SARS-CoV-2 3C-like Protease from Herbal Extracts Using a Native MS-Based Affinity-Selection Method.” Journal of Pharmaceutical and Biomedical Analysis 209 (February): 114538. doi:10.1016/j.jpba.2021.114538.