Indian Scientists team is researching to find genetic variability and possible molecular spots in the virus and the human to discover the solution to fight the COVID 19 virus.
To predict the viruses sequence online on the base of computer learning and examined 566 Indian SARS-CoV-2 genomes to discover the genetic variability in mutation and Single Nucleotide Polymorphism (SNP), Dr Indrajit Saha, Assistant Professor in National Institute of Technical Teachers’ Training and Research from Kolkata along with his team has come up with a web-based COVID- Predictor.
Science and Engineering Research Board (SERB) has funded the study by the Department of Science and Technology (DST). The study has been published in the Journal called Infection, Genetics, and Evolution.
In 64 SNPs they have found 57 of them are present in 6 coding areas of Indian SARS-CoV-2 genomes.
They have conducted about 10 thousand sequences globally and discovered 20260, 18997, and 3514 unique mutation points around the world.
The scientist carried out combining the understanding of genetic variability, identify candidates of the synthetic vaccine on the basis of conserved genomic areas that are extremely immunogenic and antigenic, and recognise the virus miRNAs that are implicated in improving human mRNA.
They have measured the mutation identity in sequences of various nations. The outcomes reveal that the USA, England, and India are the top three nations having the geometric mean, 3.27%, 3.59%, and 5.39%, individually, of mutation correlation score with other 72 countries.
The researchers have also formed a web application for exploring the mutation points in SARS-CoV-2 genomes all over the world.