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WEB-BASED COVID PREDICTOR

Focus: GS-III Science and Technology

Why in news?

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.

Details

  • A professor and his team have developed a web-based COVID- Predictor to predict the sequence of viruses online on the basis of machine learning and analysed Indian SARS-CoV-2 genomes to find the genetic variability in terms of point mutation and Single Nucleotide Polymorphism (SNP).
  • They have extended this research for more than 10 thousand sequences around the globe, including India.
  • The scientists are on the track to identify the genetic variability in SARS-CoV-2 genomes around the globe including India, find 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.
  • They also carried out 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.
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October 2022
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