Computational Prediction of SARS-CoV-2 Genomic, Proteomic Mutation, and Variants by (NGS) Next-Generation Sequencing Data
Abstract: An original severe intense respiratory condition Covid 2 (SARS-CoV-2) is the causative specialist of COVID-19 and keeps on being a worldwide wellbeing challenge. To comprehend viral illness science, we have done proteo-genomic investigation utilizing cutting-edge sequencing (NGS) and mass spectrometry on nasopharyngeal swabs of COVID-19 patients to inspect clinical genome and proteome. NGS investigation distinguished 27 transformations of which 14 are interchangeable, 11 are missense, and 2 are extragenic in nature. Phylogenetic investigation of SARS-CoV-2 secludes showed their nearby connection to Bangladesh segregate and numerous beginnings of separates inside a country. Our proteomic examination, interestingly distinguished 13 different SARS-CoV-2 proteins from the clinical swabs. Of the absolute 41 peptides caught by HRMS, 8 matched to nucleocapsid protein, 2 to ORF9b, 1 to spike glycoprotein, and ORF3a, with outstanding planning to ORF1ab polyprotein. Also, have proteome examination uncovered a few key host proteins to be remarkably communicated in COVID-19 patients. Pathway examination of these proteins focuses on regulation in invulnerable reactions, particularly including neutrophil and IL-12 intervened flagging. Other than uncovering the parts of host-infection pathogenesis, our study opens new roads to foster better analytic markers and therapeutics.
Keywords: prediction, sars cov2, variants, ngs, computational, covid 19
How to Cite?: Sudheer Menon, "Computational Prediction of SARS-CoV-2 Genomic, Proteomic Mutation, and Variants by (NGS) Next-Generation Sequencing Data", Volume 13 Issue 12, December 2024, International Journal of Science and Research (IJSR), Pages: 565-573, https://www.ijsr.net/getabstract.php?paperid=SR241206125122, DOI: https://dx.doi.org/10.21275/SR241206125122