Page 63 - Annual report 2021-22
P. 63

Annual Report 2021-22 |


               This  decision  unit  focuses  on  generating  translational  healthcare  solutions  using  computational
               biology based tools, employing machine learning, AI, genome and clinical informatics. Some of the key
               areas  that  are  being  investigated  using  genome  informatics  include,  Mendelian  genetic  diseases,
               genetic  epidemiology  of  human  diseases,  pathogen  genomics  (SARS-CoV2),  pharmacogenomics,
               antimicrobial therapeutic strategies for MDR and XDR Mycobacterium tuberculosis and non-coding
               RNA  biology.  Cardiovascular  disease  and  cancer  are  being  studied  using  multi-model  big  data.    46
               Computational  structural  biology  is  being  employed  to  study  proteins  involved  in  physiological
               processes like autophagy that play an important role in multiple diseases. A new area of research that
               has become a part of this decision unit is genome evolution using rotifers as a model.


               Recent Progress:


                   ●  Covaxin-vaccinated people have been assessed for asymptomatic infections using machine
                       learning; 55.67% of the individuals have found to be immune after two doses of Covaxin.


                   ●  Proteogenomics global variant identification tool called PgxVar has been developed.

                   ●  Deep learning methods have been used to assess Intracranial Haemorrhage and Interstitial
                       Lung Diseases from brain and chest Computed Tomography scans, respectively.

                   ●  k-mer  (short  stretch  of  nucleotide  sequences)  based  approach  for  SARS-CoV-2  genomic
                       surveillance has been developed.

                   ●  Structural models of LC3, which plays a key role in  autophagy,  that mimic physiologically
                       relevant LC3 structures on simplistic membranes have been created.

                   ●  Advanced  computational  infrastructure  for  human  digital  data  collection,  storage,  and
                       analysis has been evaluated.

                   ●  KOMBAT- Knowledgebase of Microbe Battling Agents for Therapeutics has been developed.
                   ●  GenomeApp, which will help in disease prognosis of individuals whose genome sequencing
                       data is available, has been developed using informatics data generated from 1000 Indian
                       genomes sequenced under the IndiGen project.

                   ●  510 SARS-CoV2 genomes sequenced as part of INGEN-COV2 have been analysed. 79 COVID-
                       19 positive mothers and their infants have been enrolled for a longitudinal study.
                   ●  Under  the  multi-institutional  INSACOG  consortium,  new  SARS-CoV2  variants  have  been
                       analysed and confirmed using 17,000 samples.

                   ●  Blood samples of 48 members across 29 families with idiopathic intellectual disabilities have
                       been collected.
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