Article ; Online: Targeting the 3CLpro and RdRp of SARS-CoV-2 with phytochemicals from medicinal plants of the Andean Region: molecular docking and molecular dynamics simulations.
Journal of biomolecular structure & dynamics
2020 Volume 40, Issue 5, Page(s) 2010–2023
Abstract: Given the highly contagious nature of SARS-CoV-2, it has resulted in an unprecedented number of COVID-19 infected and dead people worldwide. Since there is currently no vaccine available in the market, the identification of potential drugs is urgently ... ...
| Abstract | Given the highly contagious nature of SARS-CoV-2, it has resulted in an unprecedented number of COVID-19 infected and dead people worldwide. Since there is currently no vaccine available in the market, the identification of potential drugs is urgently needed to control the pandemic. In this study, 92 phytochemicals from medicinal plants growing in the Andean region were screened against SARS-CoV-2 3 C-like protease (3CLpro) and RNA-dependent RNA polymerase (RdRp) in their active sites through molecular docking. The cutoff values were set from the lowest docking scores of the FDA-approved drugs that are being used to treat COVID-19 patients (remdesivir, lopinavir, and ritonavir). Compounds with docking scores that were lower than cutoff values were validated by molecular dynamics simulation with GROMACS, using root mean square deviation (RMSD), root mean square fluctuation (RMSF), radius of gyration (Rg), and intermolecular hydrogen bonds (H-bonds). Furthermore, binding free energies were estimated using the MM-PBSA method, and ADMET profiles of potential inhibitors were assessed. Computational analyses revealed that the interaction with hesperidin (theoretical binding energies, ΔG |
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| MeSH term(s) | Humans ; Molecular Docking Simulation ; Molecular Dynamics Simulation ; Phytochemicals/pharmacology ; Plants, Medicinal ; RNA-Dependent RNA Polymerase ; SARS-CoV-2 ; COVID-19 Drug Treatment |
| Chemical Substances | Phytochemicals ; RNA-Dependent RNA Polymerase (EC 2.7.7.48) |
| Keywords | covid19 |
| Language | English |
| Publishing date | 2020-10-21 |
| Publishing country | England |
| Document type | Journal Article |
| ZDB-ID | 49157-3 |
| ISSN | 1538-0254 ; 0739-1102 |
| ISSN (online) | 1538-0254 |
| ISSN | 0739-1102 |
| DOI | 10.1080/07391102.2020.1835716 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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