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1.
Molecules ; 26(20)2021 Oct 12.
Article in English | MEDLINE | ID: covidwho-1518621

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 fingerprint study against SAM preferred compounds 44, 48, 85, 102, 105, 182, 220, 221, 282, 284, 285, 301, and 302. The docking studies picked 48, 182, 220, 221, and 284. While the ADMET analysis expected the likeness of the five candidates to be drugs, the toxicity study preferred compounds 48 and 182. Finally, a density-functional theory (DFT) study suggested vidarabine (182) to be the most relevant SARS-Cov-2 nsp10 inhibitor.


Subject(s)
Antiviral Agents/chemistry , Biological Products/chemistry , SARS-CoV-2/metabolism , Viral Regulatory and Accessory Proteins/antagonists & inhibitors , Antiviral Agents/metabolism , Antiviral Agents/therapeutic use , Binding Sites , Biological Products/metabolism , Biological Products/therapeutic use , COVID-19/drug therapy , COVID-19/pathology , Density Functional Theory , Humans , Ligands , Molecular Docking Simulation , S-Adenosylmethionine/chemistry , S-Adenosylmethionine/metabolism , SARS-CoV-2/isolation & purification , Small Molecule Libraries/chemistry , Small Molecule Libraries/metabolism , Small Molecule Libraries/therapeutic use , Vidarabine/chemistry , Vidarabine/metabolism , Vidarabine/therapeutic use , Viral Regulatory and Accessory Proteins/metabolism
2.
Molecules ; 26(20)2021 Oct 12.
Article in English | MEDLINE | ID: covidwho-1463775

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 fingerprint study against SAM preferred compounds 44, 48, 85, 102, 105, 182, 220, 221, 282, 284, 285, 301, and 302. The docking studies picked 48, 182, 220, 221, and 284. While the ADMET analysis expected the likeness of the five candidates to be drugs, the toxicity study preferred compounds 48 and 182. Finally, a density-functional theory (DFT) study suggested vidarabine (182) to be the most relevant SARS-Cov-2 nsp10 inhibitor.


Subject(s)
Antiviral Agents/chemistry , Biological Products/chemistry , SARS-CoV-2/metabolism , Viral Regulatory and Accessory Proteins/antagonists & inhibitors , Antiviral Agents/metabolism , Antiviral Agents/therapeutic use , Binding Sites , Biological Products/metabolism , Biological Products/therapeutic use , COVID-19/drug therapy , COVID-19/pathology , Density Functional Theory , Humans , Ligands , Molecular Docking Simulation , S-Adenosylmethionine/chemistry , S-Adenosylmethionine/metabolism , SARS-CoV-2/isolation & purification , Small Molecule Libraries/chemistry , Small Molecule Libraries/metabolism , Small Molecule Libraries/therapeutic use , Vidarabine/chemistry , Vidarabine/metabolism , Vidarabine/therapeutic use , Viral Regulatory and Accessory Proteins/metabolism
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