New Delhi: A group of scientists in India are working on genomic sequences of SARS-CoV-2 in the country and across the world to identify gene variability and potential molecular targets in viruses and humans. The best way to prevent Covid-19 virus can be found.
To get to the root of the Novel Corona Virus Challenge and see it from different directions, Dr. Indrajit Saha, Assistant Professor in the Computer Science and Engineering Department of the National Institute of Technical Teachers Training and Research, Kolkata, and his team set up a web-based Covid – Predictor is created. It allows online estimation of viruses (sequences) based on machine learning and analyzing 566 Indian SARS-CoV-2 genomes to detect gene variability in terms of point mutations and single nucleotide polymorphisms (SNPs). aims at.
The study is sponsored by the Science and Technology Research Board (SERB), the statutory body of the Department of Science and Technology (DST). The study has been published in a journal called Infection, Genetics and Evolution. They have found predominantly that 57 SNPs out of 64 SNPs are present in the 6 coding regions of the Indian SARS-CoV-2 genomes and all are distinct from each other in their nature.
He extended this research to more than 10,000 sequences across the world, including India. It has revealed 20,260 in the entire world including India, 18,997 in the world except India and 3,514 unique mutation points in India alone.
Scientists around the world, including India, identify genetic variability in genetic SARS-CoV-2 genomes, detect numbers of virus species (strains) using single nucleotide polymorphisms (SNPs), and base protein-protein interactions. But viruses and infected humans are on the way to detect potential target proteins (target proteins). They integrate the information on genetic variability, identify elements of the synthetic vaccine based on conserved genomic regions that are highly immunogenic (antigenic) and antigenic, and the miRNA (microRNA) of the virus, which humans K is also involved in regulating the mRNA.
They have assessed similarities in mutations in genome sequences of different countries. Its results show that USA, England and India are the top three countries with a geometric average (Geometric Mean) of 3.27%, 3.59% and 5.39% respectively in the mutation parity score of 72 countries. Scientists have also developed a web application to detect mutation points in the SARS-CoV-2 genome at the global and countries level. In addition, they are now focusing more on protein – protein interactions, discovery of epitopes and estimating virus mRNA.
Covid Predictor Link
http://www.nitttrkol.ac.in/indrajit/projects/COVID-Predictor/index.php
Link for publication https://doi.org/10.1016/j.meegid.2020.104457.
Link: http://www.nitttrkol.ac.in/indrajit/projects/COVID-Mutation-10K/
Link: https://www.frontiersin.org/research-topics/15309/sars-cov-2-from-genetic-variability-to-vaccine-design
For more information, contact:
Dr. Indrajit Saha, NITTTR, Kolkata,
[E-mail: indrajit@nitttrkol.ac.in,
mo: 9748740602
Also read in Hindi: भारतीय वैज्ञानिकों ने कोरोना वायरस का पता लगाने के लिए कोविड प्रिडिक्टर तैयार किया