- A group of scientists in India is working on genomic sequences of SARS-CoV-2 around the World, including India,
- To identify genetic variability and potential molecular targets in virus and human to find the best possible answer to combat the COVID 19 virus.
- Breaking down the novel coronavirus challenge into many pieces to get to its root and see it from multiple directions.
- They have developed a web-based COVID- Predictor to predict the sequence of viruses online on the basis of machine learning and
- analysed 566 Indian SARS- CoV-2 genomes to find the genetic variability in terms of point mutation and Single Nucleotide Polymorphism (SNP).
- They have mainly found 57 out of 64 SNPs are present in 6 coding regions of Indian SARS-CoV-2 genomes, and all are nonsynonymous in nature.
- They have extended this research for more than 10 thousand sequences around the globe, including India and found
- 20260, 18997, and 3514 unique mutation points globally, including India, excluding India and only for India, respectively.
- Finding the number of virus strains using Single Nucleotide Polymorphism (SNP),
- spot the potential target proteins of the virus and human host
- based on Protein-Protein Interactions
- as well as by integrating the knowledge of genetic variability,
- recognise candidates of synthetic vaccine based on conserved genomic regions
- that is highly immunogenic and antigenic and
- detect the virus miRNAs that are also involved in regulating human mRNA.
- The results show that the USA, England, and India are the top three countries having the geometric mean, 3.27%, 3.59%, and 5.39%, respectively, of mutation similarity score with other 72 countries.
