Cite
Homology Modeling and Molecular Dynamics-Driven Search for Natural Inhibitors That Universally Target Receptor-Binding Domain of Spike Glycoprotein in SARS-CoV-2 Variants.
MLA
Ovchynnykova, Olha, et al. “Homology Modeling and Molecular Dynamics-Driven Search for Natural Inhibitors That Universally Target Receptor-Binding Domain of Spike Glycoprotein in SARS-CoV-2 Variants.” Molecules, vol. 27, no. 21, Nov. 2022, p. 7336. EBSCOhost, https://doi.org/10.3390/molecules27217336.
APA
Ovchynnykova, O., Kapusta, K., Sizochenko, N., Sukhyy, K. M., Kolodziejczyk, W., Hill, G. A., & Saloni, J. (2022). Homology Modeling and Molecular Dynamics-Driven Search for Natural Inhibitors That Universally Target Receptor-Binding Domain of Spike Glycoprotein in SARS-CoV-2 Variants. Molecules, 27(21), 7336. https://doi.org/10.3390/molecules27217336
Chicago
Ovchynnykova, Olha, Karina Kapusta, Natalia Sizochenko, Kostyantyn M. Sukhyy, Wojciech Kolodziejczyk, Glake A. Hill, and Julia Saloni. 2022. “Homology Modeling and Molecular Dynamics-Driven Search for Natural Inhibitors That Universally Target Receptor-Binding Domain of Spike Glycoprotein in SARS-CoV-2 Variants.” Molecules 27 (21): 7336. doi:10.3390/molecules27217336.