Nagasuma Chandra

Associate Professor
Department of Biochemistry
Research Areas: 
Systems Biology, Drug Discovery, Structural Bioinformatics, Computational Immunology
Research Highlights: 

Research areas that are being pursued actively in my laboratory are broadly described under the two categories of (A) Systems Biology; and (B) Structural Bioinformatic. We use our research to address fundamental issues in drug discovery. Systems level modeling and simulation studies have been carried out with tuberculosis as the disease focus. Systems biology is a newly emerging area of research and our work is aimed at providing an integrative platform to link sequence, structure and systems levels. Towards this goal, development of new algorithms and methodologies for structural data mining and analysis are also being explored. Work in the past few years has focussed on reconstructing a major part of metabolic processes in Mycobacterium tuberculosis. Simulations using stoichiometric methods have provided reaction flux profiles. Together with sequence and structural bioinformatics tools, the systems models have been utilized to identify high-confidence drug targets for tuberculosis through a new pipeline termed as targetTB. A genome-scale protein-protein interaction network has also been reconstructed, which has enabled a novel formulation of the problem of drug resistance, allowing us to identify possible routes through which drug resistance could emerge in bacteria. The models and methodologies established enable addressing several new questions to understand key aspects of M. tuberculosis and the application of that knowledge in drug discovery.

Phone: 
91-80-2293-2892
  1. Mukherjee, Sumanta, and Nagasuma Chandra. 2013. Host–Pathogen Interactions, Mathematical Models. In Encyclopedia of Systems Biology, Encyclopedia of Systems Biology, Springer Science $\mathplus$ Business Media, 908–912. http://dx.doi.org/10.1007/978-1-4419-9863-7_92.
  2. Prashanthi, Karyala, and Nagasuma Chandra. 2013. Host–Pathogen Interactions. In Encyclopedia of Systems Biology, Encyclopedia of Systems Biology, Springer Science $\mathplus$ Business Media, 904–908. http://dx.doi.org/10.1007/978-1-4419-9863-7_91.
  3. Nagarajan, Deepesh, and Nagasuma Chandra. 2013. Pocketmatch (Version 2.0): A Parallel Algorithm For The Detection Of Structural Similarities Between Protein Ligand Binding-Sites. In 2013 National Conference on Parallel Computing Technologies ({PARCOMPTECH}), 2013 National Conference on Parallel Computing Technologies ({PARCOMPTECH}), Institute of Electrical {&} Electronics Engineers ({IEEE}). http://dx.doi.org/10.1109/parcomptech.2013.6621397.
  4. Chandra, Nagasuma. 2012. Drug Discovery. In Systems Biology of Tuberculosis, Systems Biology of Tuberculosis, Springer Science $\mathplus$ Business Media, 179–192. http://dx.doi.org/10.1007/978-1-4614-4966-9_9.