Identification of possible SARS-CoV-2 main protease inhibitors: in silico molecular docking and dynamic simulation studies
- DOI
- 10.1186/s43088-023-00406-4
- Published
- 2023-07-22
- Container
- Beni-Suef University Journal of Basic and Applied Sciences
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s43088-023-00406-4,
title = {Identification of possible SARS-CoV-2 main protease inhibitors: in silico molecular docking and dynamic simulation studies},
author = {Aniruddhya Mukherjee and Khushhali Menaria Pandey and Krishna Kumar Ojha and Sumanta Kumar Sahu},
year = {2023},
journal = {Beni-Suef University Journal of Basic and Applied Sciences},
doi = {10.1186/s43088-023-00406-4},
url = {https://doi.org/10.1186/s43088-023-00406-4}
}RIS
TY - JOUR TI - Identification of possible SARS-CoV-2 main protease inhibitors: in silico molecular docking and dynamic simulation studies AU - Aniruddhya Mukherjee AU - Khushhali Menaria Pandey AU - Krishna Kumar Ojha AU - Sumanta Kumar Sahu PY - 2023 JO - Beni-Suef University Journal of Basic and Applied Sciences DO - 10.1186/s43088-023-00406-4 UR - https://doi.org/10.1186/s43088-023-00406-4 ER -
APA
Mukherjee, A., Pandey, K. M., Ojha, K. K., & Sahu, S. K. (2023). Identification of possible SARS-CoV-2 main protease inhibitors: in silico molecular docking and dynamic simulation studies. Beni-Suef University Journal of Basic and Applied Sciences. https://doi.org/10.1186/s43088-023-00406-4
Source records
- crossref · retrieved 2026-09-26T02:15:12.140Z