2022
DOI: 10.1016/j.jaim.2021.02.004
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In silico evaluation of the compounds of the ayurvedic drug, AYUSH-64, for the action against the SARS-CoV-2 main protease

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Cited by 40 publications
(27 citation statements)
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“…In addition to these molecules, sterenin M was also reported in a recent computational study [39] to bind to the same active binding site as PF-07321332 and interact with the residues of catalytic dyad, but its total binding energy profile showed that the binding of PF-07321332 with protein was much stabler than the one of sterenin M [39]. In similar studies, the identified compounds bind to the same binding site, but the stability of complex is lower than the one of PF-07321332 [40,41]. Hence, considering the current pandemic situation, it is crucial to find some potent drug candidate with good binding affinity.…”
Section: Discussionmentioning
confidence: 57%
See 1 more Smart Citation
“…In addition to these molecules, sterenin M was also reported in a recent computational study [39] to bind to the same active binding site as PF-07321332 and interact with the residues of catalytic dyad, but its total binding energy profile showed that the binding of PF-07321332 with protein was much stabler than the one of sterenin M [39]. In similar studies, the identified compounds bind to the same binding site, but the stability of complex is lower than the one of PF-07321332 [40,41]. Hence, considering the current pandemic situation, it is crucial to find some potent drug candidate with good binding affinity.…”
Section: Discussionmentioning
confidence: 57%
“…Therefore, 3CL pro is an attractive target for anti-COVID-19 drug discovery. In recent studies, many new compounds have been reported as potential inhibitors of 3CL pro [14,[39][40][41][42]. We included four of the potential inhibitors in our study, compared their binding energy and discussed their interactions with the protein to identify the potent inhibitor.…”
Section: Discussionmentioning
confidence: 99%
“…Conversion of PDB to 6LU7 (PDBQT) done. 20,35 Analysis of In-silico interaction MGL tools Autodock 4.2. software approaches were used to predict the interaction energies between medicinal compounds and COVID-19 proteins. Interactions were analysed using the Lamarckian genetic approach (LGA).…”
Section: Mpro Molecule Preparationmentioning
confidence: 99%
“…As per the in-silico study based on docking, it was found that 36 chemical compounds of the AYUSH 64 have good potential for anti SARS COV-2 activity. [20] It was also found to be effective in Influenza like Illness (ILI) in a clinical study. [21] It was worthwhile to explore the efficacy and safety of this formulation for COVID-19, considering its good efficacy in influenza like disease.…”
Section: Introductionmentioning
confidence: 99%