Homology Modeling and Molecular Dynamics-Driven Search for Natural Inhibitors That Universally Target Receptor-Binding Domain of Spike Glycoprotein in SARS-CoV-2 Variants
- DOI
- 10.3390/molecules27217336
- Published
- 2022-10-28
- Container
- Molecules
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/molecules27217336,
title = {Homology Modeling and Molecular Dynamics-Driven Search for Natural Inhibitors That Universally Target Receptor-Binding Domain of Spike Glycoprotein in SARS-CoV-2 Variants},
author = {Olha Ovchynnykova and Karina Kapusta and Natalia Sizochenko and Kostyantyn M. Sukhyy and Wojciech Kolodziejczyk and Glake A. Hill and Julia Saloni},
year = {2022},
journal = {Molecules},
doi = {10.3390/molecules27217336},
url = {https://doi.org/10.3390/molecules27217336}
}RIS
TY - JOUR TI - Homology Modeling and Molecular Dynamics-Driven Search for Natural Inhibitors That Universally Target Receptor-Binding Domain of Spike Glycoprotein in SARS-CoV-2 Variants AU - Olha Ovchynnykova AU - Karina Kapusta AU - Natalia Sizochenko AU - Kostyantyn M. Sukhyy AU - Wojciech Kolodziejczyk AU - Glake A. Hill AU - Julia Saloni PY - 2022 JO - Molecules DO - 10.3390/molecules27217336 UR - https://doi.org/10.3390/molecules27217336 ER -
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. https://doi.org/10.3390/molecules27217336
Source records
- crossref · retrieved 2026-09-25T17:42:16.748Z