In silico Annotation and Mutational Hotspot Prediction in NL63 Gene of SARS CoV2

Abstract

The first case of Corona virus was reported in China which lightened the research study related to the pathogen and the sequencing of the viral genome. The SARS gene sequences were submitted to the Public data base in December 2019 which paved the way for enormous study related to the pathogen. From the time of its discovery and till date the virus is known to exhibit several genetic mutations and strain variation which makes its elimination more challenging. The use of viral genomic sequences and the application of various bioinformatics techniques helps in understanding the genetics of the organism and its mutational annotation. The current work involves the mutational annotation of NL63 one of the pathogenic proteins of virus. Identification of probable mutational hotspots in the protein sequence of the virus helps to develop suitable therapeutics targeting these regions and can overcome the problem of drug resistance by organism.