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Virtual screening based on the structure of more than 10(5) compounds against four key proteins of SARS-CoV-2: M(Pro), S(RBD), RdRp, and PL(pro)

BACKGROUND: SARS-CoV-2 initially originated in Wuhan (China) around December 2019, and spread all over the world. Currently, WHO (Word Health Organization) has licensed several vaccines for this viral infection. However, not everyone can be vaccinated. People with underlying health conditions that w...

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Detalles Bibliográficos
Autores principales: Nabati, Farzan, kamyabiamineh, Ayshin, Kosari, Ramin, Ghasemi, Faezeh, Seyedebrahimi, Seyedehmasoumeh, Mohammadi, Sobhan, Moradi, Mohammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652154/
https://www.ncbi.nlm.nih.gov/pubmed/36406927
http://dx.doi.org/10.1016/j.imu.2022.101134
Descripción
Sumario:BACKGROUND: SARS-CoV-2 initially originated in Wuhan (China) around December 2019, and spread all over the world. Currently, WHO (Word Health Organization) has licensed several vaccines for this viral infection. However, not everyone can be vaccinated. People with underlying health conditions that weaken their immune systems or those with severe allergies to some vaccine components, may not be able to be vaccinated. Moreover, no vaccination is 100% safe, and the emergence of new SARS-CoV-2 mutations may reduce the efficacy of immunizations. Therefore, it is urgent to develop effective drugs to protect people against this virus. MATERIAL AND METHOD: We performed structure-based virtual screening (SBVS) of a library that was built from ChemDiv and PubChem databases against four SARS‐CoV‐2 target proteins: S‐protein (spike), main protease (M(Pro)), RNA-dependent RNA polymerase, and PL(pro). A virtual screening study was performed using PyRx and AutoDock tools. RESULTS: Our results suggest that twenty-five top-ranked drugs with the highest energy binding as the potential inhibitors against four SARS-CoV-2 targets, relative to the reference molecules. Based on the energy binding, we suggest that these compounds could be used to produce effective anti-viral drugs against SARS-CoV-2. CONCLUSION: The discovery of novel compounds for COVID-19 using computer-aided drug discovery tools requires knowledge of the structure of coronavirus and various target proteins of the virus. These compounds should be further assessed in experimental assays and clinical trials to validate their actual activity against the disease. These findings may contribute to the drug design studies against COVID‐19.