Computational Investigations to Identify Potent Natural Flavonoid Inhibitors of the Nonstructural Protein (NSP) 16/10 Complex Against Coronavirus

An in silico method was used to identify flavonoid compounds for potent antiviral drug molecules against the coronavirus protein complex NSP16/10 protein. The NSP16/10 complex protein binding energy values were -6.14 for isoquercetin, -6.902 for narirutin, -6.052 for myricetin, -7.10 for hesperidin, -4.392 for silibinin, -3.997 for baicalein, -3.712 for taxifolin, and -3.321 for petunidin. Molecular dynamics simulations showed that isoquercetin, hesperidin, and narirutin flavonoids interacted with the COVID-19 virus protein complex NSP16/10 protease up to 100 nanoseconds.

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Journal
Cureus
Published
2024-08-29
DOI
https://doi.org/10.7759/cureus.68098
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

Computational Investigations to Identify Potent Natural Flavonoid Inhibitors of the Nonstructural Protein (NSP) 16/10 Complex Against Coronavirus

Gurupavan Kumar Ganta, Silambarasan Tamil Selvan
Cureus
Computational Drug Discovery Methods
article

Computational Investigations to Identify Potent Natural Flavonoid Inhibitors of the Nonstructural Protein (NSP) 16/10 Complex Against Coronavirus

Gurupavan Kumar Ganta, Silambarasan Tamil Selvan
article en

Abstract

An in silico method was used to identify flavonoid compounds for potent antiviral drug molecules against the coronavirus protein complex NSP16/10 protein. The NSP16/10 complex protein binding energy values were -6.14 for isoquercetin, -6.902 for narirutin, -6.052 for myricetin, -7.10 for hesperidin, -4.392 for silibinin, -3.997 for baicalein, -3.712 for taxifolin, and -3.321 for petunidin. Molecular dynamics simulations showed that isoquercetin, hesperidin, and narirutin flavonoids interacted with the COVID-19 virus protein complex NSP16/10 protease up to 100 nanoseconds.

CureusVol. 16(8)
Saveetha University (IN)
Zero hunger
Openalex Percentile: Top 83%
Computational Drug Discovery Methods
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