2021
DOI: 10.3390/molecules26206151
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In Silico Exploration of Potential Natural Inhibitors against SARS-Cov-2 nsp10

Abstract: In continuation of our previous effort, different in silico selection methods were applied to 310 naturally isolated metabolites that exhibited antiviral potentialities before. The applied selection methods aimed to pick the most relevant inhibitor of SARS-CoV-2 nsp10. At first, a structural similarity study against the co-crystallized ligand, S-Adenosyl Methionine (SAM), of SARS-CoV-2 nonstructural protein (nsp10) (PDB ID: 6W4H) was carried out. The similarity analysis culled 30 candidates. Secondly, a finger… Show more

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Cited by 48 publications
(36 citation statements)
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References 82 publications
(76 reference statements)
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“…The tested compounds were prepared using prepare ligand protocol. Then, the prepared compounds were subjected to DFT calculation protocol using the default option [76].…”
Section: Dft Studiesmentioning
confidence: 99%
“…The tested compounds were prepared using prepare ligand protocol. Then, the prepared compounds were subjected to DFT calculation protocol using the default option [76].…”
Section: Dft Studiesmentioning
confidence: 99%
“…Additionally, we designed a multi-step in silico selection method to prime the most active inhibitor drugs against a SASRS-CoV-2 protein amongst a vast number of compounds. As an exemplification, amongst 310 natural metabolite and 69 semisynthetic compounds, the highest potential inhibitors against SARS-CoV-2 nsp10 [ 37 ] and the SARS-CoV-2 PLpro [ 38 ], respectively, were decided…”
Section: Introductionmentioning
confidence: 99%
“…Also, the huge advancement in the field of proteomic enabled scientists to expect the biding and hence the activity of a molecule and target enzyme [42]. Our teamwork reported the utilization of the in silico methods to suggest a treatment that could be effective against COVID-19 in many reports [43][44][45][46][47].…”
Section: Introductionmentioning
confidence: 99%