In Silico Characterisation of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) based on the Spike Protein Gene

Objectives: The Coronavirus Disease 2019 (COVID-19) caused by SARS-CoV-2 has been the current global pandemic concern. With a high transmission rate, especially through direct contact, this disease spreads from person to person, and in turn led huge number of infections on scale. Methods: In present study, comparative genomic analysis was performed using 151 gene sequences viral spike protein retrieved NCBI along with its translated nucleotide MEGAX software. Variation amino acid positions were identified. Results: Our revealed that 22 variations observed 13, 141, 162, 233, 284, 328, 455, 459, 716, 773, 784, 882, 1686, 1715, 1749, 1841, 2031, 2076, 2383, 2520, 2533, 3300 17 position 5, 54, 78, 90, 95, 152, 153, 239, 258, 262, 572, 583, 614, 684, 677, 795 845. Further, phylogenetic used uncover patterns spread virus across affected countries. Although, certain strains showed within communities, vast majority an evident mosaic pattern. Conclusion: data obtained provides clear understanding nucleotide sequences, which can be targeted towards drug designing study evolutionary analysis. Keywords: silico, SARS-CoV-2, Spike gene, mutation, Multiple Sequence Alignment,