| Literature DB >> 33765239 |
Ismail Celik1, Meryem Erol2, Zekeriya Duzgun3.
Abstract
Since the outbreak emerged in November 2019, no effective drug has yet been found against SARS-CoV-2. Repositioning studies of existing drug molecules or candidates are gaining in overcoming COVID-19. Antiviral drugs such as remdesivir, favipiravir, ribavirin, and galidesivir act by inhibiting the vital RNA polymerase of SARS-CoV-2. The importance of in silico studies in repurposing drug research is gradually increasing during the COVID-19 process. The present study found that especially ribavirin triphosphate and galidesivir triphosphate active metabolites had a higher affinity for SARS-CoV-2 RNA polymerase than ATP by molecular docking. With the Molecular Dynamics simulation, we have observed that these compounds increase the complex's stability and validate the molecular docking results. We also explained that the interaction of RNA polymerase inhibitors with Mg++, which is in the structure of NSP12, is essential and necessary to interact with the RNA strand. In vitro and clinical studies on these two molecules need to be increased.Entities:
Keywords: Galidesivir; Molecular docking; Molecular dynamics; Ribavirin; SARS-CoV-2
Mesh:
Substances:
Year: 2021 PMID: 33765239 PMCID: PMC7992164 DOI: 10.1007/s11030-021-10215-5
Source DB: PubMed Journal: Mol Divers ISSN: 1381-1991 Impact factor: 3.364
Fig. 1The entry into the cell of the antiviral drugs ribavirin and galidesivir and the formation reaction of the active triphosphate forms
RNA polymerase and RNA residues (PDB: 7BV2) interacting with galidesivir, ribavirin, remdesivir, favipiravir, and their metabolites through H-bonding, salt bridge, Pi-cation, and other interactions
| Compound | Glide gscore | Glide emodel | Protein-RNA-ligand interactions | |
|---|---|---|---|---|
| GLS |
| − 6.187 | − 58.201 | ARG836, |
| GLM |
| − 7.855 | − 87.796 | |
| GLD |
| − 8.150 | − 96.831 | |
|
| − | − | ||
| RBV |
| − 6.128 | − 62.459 | |
| RBM |
| − 7.983 | − 88.177 | |
| RBD |
| − 7.949 | − 92.564 | |
|
| − | − | ||
| RMD |
| − 7.755 | − 109.151 | |
| RMP |
| − 7.607 | − 77.977 | |
| RDP |
| − 7.312 | − 90.081 | |
|
| − | − | ||
| FPR |
| − 5.366 | − 30.956 | |
| FRR |
| − 5.693 | − 59.769 | |
| FMP |
| − 7.609 | − 96.463 | |
| FDP |
| − 8.223 | − 97.563 | |
|
| − | − | ||
|
| − 8.552 | − 104.854 |
Italic: salt bridge, bold: Hbond, red: Pi-cation İnteraction, normal: hydrophobic and other interactions
GLS galidesivir, GLM galidesivir monophosphate, GLD galidesivir diphosphate, GLT galidesivir triphosphate, RBV ribavirin, RBM ribavirin monophosphate, RBD ribavirin diphosphate, RBT ribavirin triphosphate, RMD remdesivir, RMP remdesivir monophosphate, RDP remdesivir diphosphate, RTP remdesivir triphosphate, FPR favipiravir, FRR favipiravir ribofuranose, FMP favipiravir monophosphate, FDP favipiravir diphosphate, FTP favipiravir triphosphate, U uracil, T thymine, P and T: chain
Fig. 2RBT (purple), GLT (yellow), RTP (green), FTP (blue), and ATP (gray) interactions in the active site of SARS-CoV-2 RNA polymerase
Fig. 3Root-mean-square deviation (RMSD) analysis of the conformational stability of protein–ligand interactions throughout 50 ns compared to the non-liganded structure
Fig. 4Root-mean-square fluctuation (RMSF) analysis of structures with and without ligand throughout 50 ns
Fig. 5The radius of gyration graph of structures with and without ligands over 50 ns
Fig. 6Protein-compound interactions after 50 ns MD Simulations
Fig. 7.2D Diagram of Protein-compound interactions after 50 ns MD Simulations