In-Silico Study of Virus-Host Protein-Protein Interactions (PPIs) can Anticipate and Cure Viruses by Reducing Time-Duration of Vaccine Trials: A Review

Abstract

Avnish Kumar, Bhuvnesh Prasad Sharma, Kavita Singh, Vinita Gupta, Monika Asthana

COVID-19, a pandemic, has slowed global growth. This virus' fury and fast spread necessitated worldwide drug repurposing experiments. SARS-CoV-2 surface glycoprotein triggers host innate immunological and inflammatory responses. In-silico research characterised 6VSB B as more virulent than 6VSB A and important in pathophysiolo- gy. The worldwide assessment of SARS-CoV-2 virus sequences includes analysis from hundreds of high-coverage, high-quality genomes. Protein structure prediction predicts protein three-dimensional structures using amino acid sequences. SARS-CoV-2 was examined for isoelectric point, stability, GRAVY, amino acid, and atomic composition. Protein extinction coefficients quantify light absorption at a wavelength. Sequence data can compute protein molar extinction coefficients. The present review supports in-silico investigations using an immunological and molecular biology knowledge database to create novel vaccines and determine therapeutic targets when repurposing an exist- ing drug.

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