2021
DOI: 10.3390/molecules26206199
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In Silico Identification and Validation of Organic Triazole Based Ligands as Potential Inhibitory Drug Compounds of SARS-CoV-2 Main Protease

Abstract: The SARS-CoV-2 virus is highly contagious to humans and has caused a pandemic of global proportions. Despite worldwide research efforts, efficient targeted therapies against the virus are still lacking. With the ready availability of the macromolecular structures of coronavirus and its known variants, the search for anti-SARS-CoV-2 therapeutics through in silico analysis has become a highly promising field of research. In this study, we investigate the inhibiting potentialities of triazole-based compounds agai… Show more

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Cited by 14 publications
(17 citation statements)
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“…The pharmacokinetic properties such as absorption, distribution, metabolism, excretion and toxicity (ADMET) including Lipinski's rule of five, [40] drug‐likeness of the compounds were predicted using online tools [36] . Lipinski's rule of five, which includes hydrogen bond donor, hydrogen bond acceptor, molecular weight, and solubility parameters were predicted using SWISS ADME.…”
Section: Resultsmentioning
confidence: 99%
“…The pharmacokinetic properties such as absorption, distribution, metabolism, excretion and toxicity (ADMET) including Lipinski's rule of five, [40] drug‐likeness of the compounds were predicted using online tools [36] . Lipinski's rule of five, which includes hydrogen bond donor, hydrogen bond acceptor, molecular weight, and solubility parameters were predicted using SWISS ADME.…”
Section: Resultsmentioning
confidence: 99%
“…The size of the grid wherein all the binding residues were fitted had the following dimensions: x = 26.56 Å, y = 25.00 Å, and z = 34.61 Å. The detailed follow-up analyses for the interaction of amino acids with the ligand were performed with BIOVIA Discovery Studio Visualizer [ 27 ].…”
Section: Methodsmentioning
confidence: 99%
“…During the last decade, molecular dynamics (MD) simulation has provided us with molecular insight on protein–ligand stability, compactness, hydrophobicity, and involved energy for the affinity. In reproductive biology, an in silico methodology can provide an effective way to improve resolution in terms of protein–ligand and protein–drug interactions and moreover the dynamics of protein–ligand complexes [ 27 ].…”
Section: Introductionmentioning
confidence: 99%
“…The initial visualization and analysis of the VanZ–G3K docking was performed by Chimera 1.15. Additionally, detailed analysis of the interacting amino acid and ligand was performed on BIOVIA Discovery Studio Visualizer [ 33 ].…”
Section: Methodsmentioning
confidence: 99%
“…The trajectory analysis module integrated in the GROMACS 2020.01 simulation package, VMD, qtgrace, python3 and Chimera software were used to analyze all trajectories. The trajectory files were analyzed by: GROMCAS tools; gmxrmsf; gmx gyrate; gmxhbond; gmxrmsd; gmxcovar; gmxsasa; gmx energy for extracting the graph of root-mean square fluctuations (RMSFs); radius of gyration (Rg); hydrogen bond; root-mean square deviation (RMSD); and solvent-accessible surface area (SASA) [33]. and 512 µg/mL) and/or TEI (0, 0.125, 0.25, 0.5, 1, 2, 4, 8 and 16µg/mL).…”
Section: Molecular Dynamic Simulation (Mds) Analysismentioning
confidence: 99%