Template-Type: ReDIF-Article 1.0
Author-Name:  Jyoti Sarwan
Author-Workplace-Name: University Institute of Biotechnology, Chandigarh University Gharuan 140413, India
Author-Name:  Heenu Sharma
Author-Workplace-Name: University Institute of Biotechnology, Chandigarh University Gharuan 140413, India
Author-Name:  Anubha Sharma
Author-Workplace-Name: University Institute of Biotechnology, Chandigarh University Gharuan 140413, India
Author-Name:  Eleena Barik
Author-Workplace-Name: University Institute of Biotechnology, Chandigarh University Gharuan 140413, India
Author-Name:  Jagadeesh Chandra Bose K
Author-Workplace-Name: University Institute of Biotechnology, Chandigarh University Gharuan 140413, India
Author-Name:  Junaid Ahmad Malik
Author-Workplace-Name: Department of Zoology, Government Degree College, Bijbehara, Kashmir 192124, India
Title:  Computational Genomic Sequencing for Covid-19
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
Journal: Inventum Biologicum: An International Journal of Biological Research
Pages: 13-23
Volume: 2
Issue: 1
Year: 2022
File-URL: https://journals.worldbiologica.com/ib/article/view/11
File-Format: text/html
File-URL: https://journals.worldbiologica.com/ib/article/view/11/70
File-Format: Application/pdf
Handle: RePEc:adg:ibijbr:v:2:y:2022:i:1:p:13-23