Computational Genomic Sequencing for Covid-19

Jyoti Sarwan, Heenu Sharma, Anubha Sharma, Eleena Barik, Jagadeesh Chandra Bose K and Junaid Ahmad Malik
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Jyoti Sarwan: University Institute of Biotechnology, Chandigarh University Gharuan 140413, India
Heenu Sharma: University Institute of Biotechnology, Chandigarh University Gharuan 140413, India
Anubha Sharma: University Institute of Biotechnology, Chandigarh University Gharuan 140413, India
Eleena Barik: University Institute of Biotechnology, Chandigarh University Gharuan 140413, India
Jagadeesh Chandra Bose K: University Institute of Biotechnology, Chandigarh University Gharuan 140413, India
Junaid Ahmad Malik: Department of Zoology, Government Degree College, Bijbehara, Kashmir 192124, India

Inventum Biologicum: An International Journal of Biological Research, 2022, vol. 2, issue 1, 13-23

Abstract: SARS-CoV-2, a new virus belonging to the Coronaviridae family, has made itself worldwide attention seeker in the last two years owing to its exclusive infection and millions of deaths. Coronavirus has single �stranded RNA with 30 kb nucleotides with a positive sense in its genetic material. Although many years have been invested to study coronavirus still more research is pending. Therefore several tools have been invented called bioinformatics tools, specially designed to monitor and diagnose SARS-CoV-2 for fast detection and rapid reaction to treatment and understanding in its early stages. Following previous studies coronavirus RNA has enzyme furin that is found in organs like the small intestine, lungs, and liver of humans and is responsible for activating spike like proteins. However, coronavirus and associated enzymes can directly attack multiple organs and lead to organ failure in a small period. Therefore In silico studies can help to screen early stages of Covid-19 infections. In silico can provide data related to evolution, lineage, and drug resistance for COVID -19. In nutshell, the genomic sequencing tool is helpful to describe advanced research that is specifically for SARS-CoV-2 for its genomics, proteomics, early detections, rapid reactions, and drug discovery.

Keywords: SARS-CoV-2; Bioinformatics; Drug design; Virus; Corona virus (search for similar items in EconPapers)
Date: 2022
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