Structure-based virtual screening, in silico docking, ADME properties prediction and molecular dynamics studies for the identification of potential inhibitors against SARS-CoV-2 M(pro).
- DOI
- 10.1007/s11030-021-10298-0
- Published
- 2022 Jun
- Container
- Molecular diversity
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1007/s11030-021-10298-0,
title = {Structure-based virtual screening, in silico docking, ADME properties prediction and molecular dynamics studies for the identification of potential inhibitors against SARS-CoV-2 M(pro).},
author = {Mohan A and Rendine N and Mohammed MKS and Jeeva A and Ji HF and Talluri VR},
year = {2022},
journal = {Molecular diversity},
doi = {10.1007/s11030-021-10298-0},
url = {https://doi.org/10.1007/s11030-021-10298-0}
}RIS
TY - JOUR TI - Structure-based virtual screening, in silico docking, ADME properties prediction and molecular dynamics studies for the identification of potential inhibitors against SARS-CoV-2 M(pro). AU - Mohan A AU - Rendine N AU - Mohammed MKS AU - Jeeva A AU - Ji HF AU - Talluri VR PY - 2022 JO - Molecular diversity DO - 10.1007/s11030-021-10298-0 UR - https://doi.org/10.1007/s11030-021-10298-0 ER -
APA
A, M., N, R., MKS, M., A, J., HF, J., & VR, T. (2022). Structure-based virtual screening, in silico docking, ADME properties prediction and molecular dynamics studies for the identification of potential inhibitors against SARS-CoV-2 M(pro).. Molecular diversity. https://doi.org/10.1007/s11030-021-10298-0
Source records
- pubmed · retrieved 2026-09-26T22:36:49.122Z