Cargando…
Identification of natural compounds targeting SARS-CoV-2 Mpro by virtual screening and molecular dynamics simulations
The SARS-CoV-2 main protease (Mpro) has been chosen as a conserved molecular target to develop broad-spectrum antiviral drugs. Using molecular docking and molecular dynamics (MD) simulations, a total of 5600 natural compounds available for virtual screening were tested to identify potential inhibito...
Autores principales: | Zhang, Chuanming, Zhang, Chao, Meng, Yanli, Li, Tai, Jin, Zhe, Hou, Shicheng, Hu, Chun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Mendeleev Communications. Published by ELSEVIER B.V. on behalf of the N. D. Zelinsky Institute of Organic Chemistry of the Russian Academy of Sciences.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141681/ http://dx.doi.org/10.1016/j.mencom.2022.05.013 |
Ejemplares similares
-
Machine learning combines atomistic simulations to predict SARS-CoV-2 Mpro inhibitors from natural compounds
por: Nguyen, Trung Hai, et al.
Publicado: (2023) -
Finding potential inhibitors for Main protease (Mpro) of SARS-CoV-2 through virtual screening and MD simulation studies
por: Ahamed, N. Anis, et al.
Publicado: (2023) -
Potential inhibitors for SARS-CoV-2 Mpro from marine compounds
por: Tam, Nguyen Minh, et al.
Publicado: (2021) -
Discovery of novel inhibitors against main protease (Mpro) of SARS-CoV-2 via virtual screening and biochemical evaluation
por: Guo, Sheng, et al.
Publicado: (2021) -
Design of SARS-CoV-2 Mpro, PLpro dual-target inhibitors based on deep reinforcement learning and virtual screening
por: Zhang, Li-chuan, et al.
Publicado: (2022)