Cargando…
Identification of Drug Combination Therapies for SARS-CoV-2: A Molecular Dynamics Simulations Approach
PURPOSE: The development of effective treatments for coronavirus infectious disease 19 (COVID-19) caused by SARS-Coronavirus-2 was hindered by the little data available about this virus at the start of the pandemic. Drug repurposing provides a good strategy to explore approved drugs’ possible SARS-C...
Autores principales: | Abdel-Halim, Heba, Hajar, Malak, Hasouneh, Luma, Abdelmalek, Suzanne M A |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9469804/ https://www.ncbi.nlm.nih.gov/pubmed/36110398 http://dx.doi.org/10.2147/DDDT.S366423 |
Ejemplares similares
-
Drug repurposing for identification of potential spike inhibitors for SARS-CoV-2 using molecular docking and molecular dynamics simulations
por: Lazniewski, Michal, et al.
Publicado: (2022) -
In silico prediction of potential inhibitors for SARS-CoV-2 Omicron variant using molecular docking and dynamics simulation-based drug repurposing
por: Mohamed, Eslam A. R., et al.
Publicado: (2023) -
Identification of natural compounds as SARS-CoV-2 inhibitors via molecular docking and molecular dynamic simulation
por: Han, Tiantian, et al.
Publicado: (2023) -
Drug binding dynamics of the dimeric SARS-CoV-2 main protease, determined by molecular dynamics simulation
por: Komatsu, Teruhisa S., et al.
Publicado: (2020) -
Identification of natural compounds as potent inhibitors of SARS-CoV-2 main protease using combined docking and molecular dynamics simulations
por: Jairajpuri, Deeba Shamim, et al.
Publicado: (2021)