Samrat Chatterjee

Associate Professor, BRIC-THSTI

Profile

The research theme of Dr. Chatterjee’s lab is to understand the mechanism of a biological phenomenon using mathematical and computational tools. One of their research areas is to capture the underlying mechanisms of disease progression and to identify potential drug targets. It could then be evaluated and taken forward by the experimental biologists. To achieve this, information from a big dataset is derived either by using different available systems biology tools like network analysis, clustering etc., or by developing own tools like bi-clustering algorithm, connecting temporal data, identification of node sensitivity under random perturbations etc. This information is used to capture the hidden mechanism and targets using a differential equation based kinetic models. The dynamical models are then solved analytically and numerically to obtain sensitive parameters responsible for different dynamical behavior of the system. This helps us to capture the molecular pathways responsible for the disease progression and establishment.

Current Focus Areas

Selected Publications

  • Arora, G., Bairagi, N., and Chatterjee, S., (2024). A mathematical model to study low-dose metronomic scheduling for chemotherapy. Mathematical Biosciences, (vol. 372), pp. 109186. *corresponding author

  • Kumar, S., Sarmah, D. T., Paul, A., and Chatterjee, S. , (2024). Exploration of functional relations among differentially co-expressed genes identifies regulators in glioblastoma. Computational Biology and Chemistry, (vol. 109), pp. 108024.*corresponding author

  • Halder S., Das, P., Ghosh S., Bairagi, N., and Chatterjee, S. , (2024). Studying the role of random translocation of GLUT4 in cardiomyocytes on calcium oscillations. Applied Mathematical Modelling, (vol. 125) pp. 599-616. *corresponding author

  • Arora, G., Banerjee, M., Langthasa, J., Bhat, R., and Chatterjee, S., (2023). Targeting metabolic fluxes reverts metastatic transitions in ovarian cancer. iScience. (Vol. 26) 108081. *corresponding author

  • Kumar, S., Sarmah, D T., Asthana, S., Chatterjee, S., (2023). konnect2prot: A web application to explore the protein properties in a functional protein-protein interaction network. Bioinformatics, 39(1), btac815. *corresponding author

Skills & Proficiency

Mathematical modelling differential equations linear algebra sensitivity analysis parameter recalibration computational tools network analysis systems biology protein-protein interaction network genome scale metabolic network omics data basic machine learning models
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