Exploring the Molecular Diversity of SARS, Ebola, MERS, and SAR-COV-2 Viruses Using Genomics Virus Classification Algorithm: ViroGen

As evidenced by significant mortality and transmission from the delta and Omicron versions respectively, SARS-COV-2 mutation also causes periodic public worry. We thoroughly examined and condensed several infection disease like COVID-19 treatment, diagnosis, and prevention facets. The biological properties of infectious disease like COVID-19 is first described from the perspective diagnosis. GenBank uses the file extensions .fasta and .gb to store the genomic sequences of several viruses. There were more than 300 unique changes in the genomic nucleotide regions of the four different viral types. Following that, the COVID-19 preceding clinical animal models were reviewed to frame the signs and symptoms of the disease as well as its clinical impacts from patient to patient with the help of therapeutic options and in computational/silicon natural science. Additionally, we looked at the potential and challenges of applying nanomedicine and nanotechnology for identifying, evaluating, and treating infectious disease. This article extensively discusses practically every SARS-CoV-2-associated issue to help readers comprehend the most recent developments. We have used ViroGen algorithm for genomics virus classification for SARS, MERS, Ebola, and SARS-COV-2. We calculate the various performance metrics like precision, accuracy, F1 score, and recall in terms of various model such as SVM, logistic regression, Naïve bayes, etc. with respect to different viruses, and we get 96% accuracy for SARS and 97% accuracy for SARS-COV-2, these suggested technique produces good classification results.