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Identification of SARS-CoV-2 inhibitors through phylogenetics and drug repurposing
Structural Chemistry ; : 1-9, 2022.
Article in English | EuropePMC | ID: covidwho-1958212
ABSTRACT
The novel coronavirus that has affected the whole world is declared a pandemic by the World Health Organization. Since the emergence of this virus, researchers worldwide have searched for potential antivirals against it. Being an RNA virus, it shows a high rate of mutability and variability in its genome. In the present study, all the reported SARS-CoV-2 genomes isolated from diverse regions of the world available in the GISAID database have been considered for phylogenetic analysis. The strain identified at the root is subjected to phylogenetic analysis with genomes of other known human viruses obtained from NCBI for identifying the nearest viral neighbor. Furthermore, the phylogenetic relationship between various human viruses was used to repurpose the known antiviral drugs towards coronavirus using in silico docking approach. The phylogeny reveals the link of the COVID virus with adenovirus. The known drugs against adenovirus are considered in the present study for drug repurposing through molecular docking analysis. The reference inhibitors of the respective targets were also considered in the docking study. The protein targets, namely protease, endoribonuclease, methyltransferase, phosphatase, and spike protein, are considered for screening with the known drug of adenovirus. Ribavirin, known to treat adenoviral infection, shows the best docking score, suggesting its use as a repurposed drug to treat SARS-CoV-2. Furthermore, the potency of the ribavirin drug is analyzed using molecular dynamics studies. Supplementary Information The online version contains supplementary material available at 10.1007/s11224-022-02019-6.
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Collection: Databases of international organizations Database: EuropePMC Type of study: Prognostic study Language: English Journal: Structural Chemistry Year: 2022 Document Type: Article

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Collection: Databases of international organizations Database: EuropePMC Type of study: Prognostic study Language: English Journal: Structural Chemistry Year: 2022 Document Type: Article