Page 10 - CSIR-IGIB Annual Report 2020-21
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IGIB scientists are also engaging in  research to target pathogenic  organisms directly. Skin  infection
                caused by Propionibacterium acnes has been observed to harbour antimicrobial resistance. Hemant
                Gautam’s lab is involved in genome based characterization of P. acnes. To overcome challenges imposed
                by AMR, his lab is developing antibacterial photothermal therapy using chitosan-coated Prussian Blue
                nanoparticles. Pradeep Kumar’s lab  has been working on development  of various polymeric
                nanoconjugates as efficient antimicrobials. Here  he reports  the development of polydopamine-
                aminoglycoside conjugates with high efficiency against drug resistant strains. Rajesh Pandey’s lab has
                started a program on genomics based understanding of host and pathogen during infection, making
                important contributions in detecting evolution of SARS-Cov2 genome.

                Computational tools are being used and developed at IGIB to not only understand basic biology but also
                provide solutions to critical healthcare issues. Lipi Thukral’s lab uses computational  biology to
                understand  protein structure-function relationship at  the atomistic level.  Here she reports on the
                structural understanding  of autophagy proteins LC3 and  GABARAP, and  SARS-CoV2 variants  using
                atomistic level MD simulations in the membrane. Debasis Dash reports on the development of RAPID-
                CT which is an artificial intelligence based tool for detection and diagnosis of Intracranial Hemorrhages
                from computed tomography data. Along similar lines, his group developed CovBaseAI for the detection
                and diagnosis of COVID-Pneumonia from Chest X-rays. Abhay Sharma reports using transcriptome data
                analysis for predicting drug prioritization against COVID-19. S Ramachandran’s lab reports on the use of
                gene co-expression analysis to generate a network of pathways present in diabetes that may enable
                prediction of disease progression and treatment.

                This report also brings our attention to the way in which a team of scientists at IGIB worked towards
                finding solutions to the incident threat of COVID-19. Starting from preparedness and initial protocol
                development for diagnostics by Sheetal Gandotra, Vivek Rao, Sridhar Sivasubbu, and Vinod Scaria, to
                scaling  up by Mohamad  Faruq and Sridhar  Sivasubbu’s teams,  to development of a pooling  based
                strategy for sequencing viral genomes by Vinod Scaria and Sridhar Sivasubbu’s teams, to deployment of
                point  of care  sequencing technologies by Rajesh  Pandey’s team at critical places  like  airports,  IGIB
                covered all bases for nucleic acid based detection of the virus. Emanating from the very research that
                was ongoing on the development of FnCas9 at IGIB, together with Debojyoti Chakraborty’s lab, Souvik
                Maiti’s team developed a CRISPR based diagnostic for COVID19 which can be adopted on a lateral flow
                platform in future. There was realization that nucleic acid based detection is temporal and other means
                of detecting infection may be necessary to understand the exposure levels in the country. Under the
                leadership of Anurag Agrawal and Shantanu Sengupta, a country-wide serosurvey, partnering with all
                CSIR labs across the country was undertaken. This first-of-a-kind undertaking was crucial in informing
                the evolution of the pandemic across different cities.























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