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    Browsing Division of Biological Sciences by Advisor "Chandra, Nagasuma"

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      • Algorithms for Investigating, Decoding and Designing ligand recognition sites in proteins - A Structural Bioinformatics Approach to Studying Protein Function 

        Sankar, Santhosh
        All physical processes in living organisms are driven by specific biomolecular interactions. Elucidating the characteristics of biomolecular interactions between proteins and their respective small molecule ligands can ...
      • Computational and Experimental Approaches to Protein Design 

        Nagarajan, Deepesh
        Protein design is a rapidly maturing field, with the goal of designing proteins with customized structures and functions. A large number of protein structures are experimentally determined, which have facilitated an ...
      • Deciphering Hypoxic Adaptations in Cutibacterium acnes using Multi-omics Profiling and Systems Modelling 

        Pandia, Bandana
        The opportunistic skin anaerobe Cutibacterium acnes (C. acnes) contributes to skin homeostasis with its antioxidant and immunomodulatory activities. C. acnes (formerly known as Propionibacterium acnes) is an aerotolerant, ...
      • Large-Scale Structural Analysis of Protein-ligand Interactions : Exploring New Paradigms in Anti-Tubercular Drug Discovery 

        Anand, Praveen (2018-08-13)
        BIOLOGICAL processes are governed through specific interactions of macromolecules. The three-dimensional structural information of the macromolecules is necessary to understand the basis of molecular recognition. A large ...
      • Modeling the CD8+ T cell response to solid tumors: A multi-scale immunoinformatics approach to prognosticating disease outcome 

        Naren, C S
        Robust CD8 T cell activity is crucial for anti-tumor immune response. CD8 T cells keep tumors in check using direct effector mechanisms that cause tumor death. The key to this activity is the recognition of tumor cells as ...
      • A molecular systems approach to unravel mechanisms and targets in antifolate-resistant bacteria and cancers 

        Bhosle, Amrisha
        Antifolates such as trimethoprim (TMP) and methotrexate (MTX) widely used for treating bacterial infections and certain cancers respectively, inhibit dihydrofolate reductase (DHFR) in the folate pathway. However, the use ...
      • Multiple routes to tackling drug-resistant tuberculosis: Systems modeling to unravel resistance mechanisms, drug combinations, and novel host-based biomarkers 

        Thakur, Chandrani
        Tuberculosis (TB) has been a major public health problem. The successful treatment of TB requires long-term (6-months) multi-drug chemotherapy, but poor patient compliance and non-adherence lead to the evolution of ...
      • Systems biology approach to dissect Salmonella-host interactions 

        Banerjee, Pip
        Systems understanding of the biological data is required to capture the complex biochemical information when a pathogen interacts with its host. Such interactions are dynamic and complex, especially because various components ...
      • A Systems Biology Approach towards Understanding Host Response and Pathogen Adaptation in Latent Tuberculosis Infection 

        Baloni, Priyanka (2018-01-04)
        Mycobacterium tuberculosis, the etiological agent of tuberculosis, has adapted with the host environment and evolved to survive in harsh conditions in the host. The pathogen has successfully evolved strategies not only to ...
      • A systems-level exploration of host responses across the disease spectrum of Tuberculosis and COVID-19 

        Banerjee, Ushashi
        The host immune system orchestrates a defense mechanism against any invading pathogen with a combination of many mechanisms including antibody production, T-cell response, and memory response. The manner and extent of host ...
      • Towards precision medicine to detect, characterize and treat liver cancer: Large-scale data analyses using genome-wide networks 

        Mishra, Madhulika
        In summary, various systems biology approaches were applied to identify a potential genesignature set to monitor CLD progression which can help in the early detection of HCC. An unbiased analysis of metabolic alterations ...

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