Guo, L.; Zafar, F.; Moeen, N.; Alshabrmi, F.M.; Lin, J.; Ali, S.S.; Munir, M.; Khan, A.; Wei, D.
Ultra-Large-Scale Screening of Natural Compounds and Free Energy Calculations Revealed Potential Inhibitors for the Receptor-Binding Domain (RBD) of SARS-CoV-2. Molecules 2022, 27, 7317.
https://doi.org/10.3390/molecules27217317
AMA Style
Guo L, Zafar F, Moeen N, Alshabrmi FM, Lin J, Ali SS, Munir M, Khan A, Wei D.
Ultra-Large-Scale Screening of Natural Compounds and Free Energy Calculations Revealed Potential Inhibitors for the Receptor-Binding Domain (RBD) of SARS-CoV-2. Molecules. 2022; 27(21):7317.
https://doi.org/10.3390/molecules27217317
Chicago/Turabian Style
Guo, Lisha, Faryar Zafar, Nawal Moeen, Fahad M. Alshabrmi, Junqi Lin, Syed Shujait Ali, Muhammad Munir, Abbas Khan, and Dongqing Wei.
2022. "Ultra-Large-Scale Screening of Natural Compounds and Free Energy Calculations Revealed Potential Inhibitors for the Receptor-Binding Domain (RBD) of SARS-CoV-2" Molecules 27, no. 21: 7317.
https://doi.org/10.3390/molecules27217317
APA Style
Guo, L., Zafar, F., Moeen, N., Alshabrmi, F. M., Lin, J., Ali, S. S., Munir, M., Khan, A., & Wei, D.
(2022). Ultra-Large-Scale Screening of Natural Compounds and Free Energy Calculations Revealed Potential Inhibitors for the Receptor-Binding Domain (RBD) of SARS-CoV-2. Molecules, 27(21), 7317.
https://doi.org/10.3390/molecules27217317