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Pharmacophore based virtual screening, molecular docking, molecular dynamics and MM-GBSA approach for identification of prospective SARS-CoV-2 inhibitor from natural product databases
| Content Provider | Scilit |
|---|---|
| Author | Faheem Kumar, Banoth Karan Sekhar, Kondapalli Venkata Gowri Chandra Ojha, Rupal Prajapati, Vijay Kumar Pai, Aravinda Murugesan, Sankaranarayanan |
| Copyright Year | 2020 |
| Description | COVID-19 caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) primarily appeared in Wuhan, China, in December 2019. At present, no proper therapy and vaccinations are available for the disease, and it is increasing day by day with a high mortality rate. Pharmacophore based virtual screening of the selected natural product databases followed by Glide molecular docking and dynamics studies against SARS-CoV-2 main protease was investigated to identify potential ligands that may act as inhibitors. The molecules SN00293542 and SN00382835 revealed the highest docking score of −14.57 and −12.42 kcal/mol, respectively, when compared with the co-crystal ligands of PDB-6Y2F (O6K) and 6W63 (X77) of the SARS-CoV-2 $M^{pro}$. To further validate the interactions of top scored molecules SN00293542 and SN00382835, molecular dynamics study of 100 ns was carried out. This indicated that the protein-ligand complex was stable throughout the simulation period, and minimal backbone fluctuations have ensued in the system. Post-MM-GBSA analysis of molecular dynamics data showed free binding energy-71.7004 +/− 7.98, −56.81+/− 7.54 kcal/mol, respectively. The computational study identified several ligands that may act as potential inhibitors of SARS-CoV-2 $M^{pro}$. The top-ranked molecules SN00293542, and SN00382835 occupied the active site of the target, the main protease like that of the co-crystal ligand. These molecules may emerge as a promising ligands against SARS-CoV-2 and thus needs further detailed investigations. Communicated by Ramaswamy H. Sarma Graphical Abstract |
| Related Links | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7544939/pdf |
| Ending Page | 1386 |
| Page Count | 24 |
| Starting Page | 1363 |
| ISSN | 07391102 |
| e-ISSN | 15380254 |
| DOI | 10.1080/07391102.2020.1824814 |
| Journal | Journal of Biomolecular Structure and Dynamics |
| Issue Number | 3 |
| Volume Number | 40 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2020-09-28 |
| Access Restriction | Open |
| Subject Keyword | Journal: Journal of Biomolecular Structure and Dynamics Mathematical and Computational Biology Covid-19 Main Protease Pharmacophore Virtual Screening Molecular Docking Molecular Dynamics Mm-gbsa |
| Content Type | Text |
| Resource Type | Article |
| Subject | Structural Biology Medicine Molecular Biology |