A Vicenary Analysis of SARS-CoV-2 Genomes

Coronaviruses are responsible for various diseases ranging from the common cold to severe infections like Middle East syndromes and acute respiratory syndrome. However, a new coronavirus strain known as COVID-19 developed into pandemic resulting in an ongoing global public health crisis. Therefore, there is need understand genomic transformations that occur within this family of viruses order limit disease spread develop therapeutic targets. The nucleotide sequences SARS-CoV-2 consist several bases. These bases can be classified purines pyrimidines according their chemical composition. Purines include adenine (A) guanine (G), while cytosine (C) tyrosine (T). There spatial distribution these on sequence facilitate development antivirals (including neutralizing antibodies) epitomes necessary vaccine development. This study aimed evaluate all purine pyrimidine associations genome by measuring mathematical parameters including; Shannon entropy, Hurst exponent, guanine-cytosine content. entropy used identify closely associated sequences. Whereas exponent identifying auto-correlation purine-pyrimidine even if organization differs. Different frequency patterns determine four proteins density each base. GC-content stability DNA. relevant were extracted National Center Biotechnology Information (NCBI) virus database. Furthermore, phylogenetic properties characterized compare closeness with other coronaviruses evaluating distribution.