Most of our works are funded by DBT and DST, Govt. of India. Some externally funded projects are listed here.
Investigation to Understand Cell Signaling in Noisy Environment
(Funded by ICMR, 2016 - 2019)
In a real-life environment, a cell receives multiple signals from different sources. Often, these diverse signals can affect each other. In that sense, a cell signaling is quite noisy. One key question in cell biology is to understand how a cell reliable decipher the meaning of a signal and execute a job, in such a noisy environment. In this work we are exploring this question through experiments as well computation.
Diphtheria toxin derived proteins for possible therapeutic uses
(Funded by DST, 2016 - 2019)
Diphtheria toxin is a dreaded toxin. It has been well characterized for its toxicity. Vaccines have developed against Diphtheria. However, in this project we are converting this enemy into a friend. We are trying to use parts of Diphtheria toxin for targeted drug delivery.
Design Principles in the Molecular Network of an Oncofetal Protein
(Funded by DBT, 2016 -2021)
We are exploring the network architecture of an oncoprotein that is crucial in embryonic development and development of cancer. We want to connect the design of the network with dynamics of signaling of the protein and also with heterogeneity in expression of the protein. We are using cell biology experiment along with computational modeling for this work.
Exploring the Binding Space to Develop an Optimal Transcriptional Control System for Abiotic Stress Tolerance in Crops
(In collaboration with Prof. L. Sahoo, Department of Biosciences and Bioengineering, IIT Guwahati; Funded by DBT, 2014-2017)
In this project we are attempting to find the relationship between sequence of binding motif, binding kinetics and function of a transcription factor from plant.
Integrative investigation on critical transcriptional modules involved in proliferation of malignant cells
Inhibitor Based Selection of Blocking Antibodies
against Heparin-binding EGF-like Growth Factor: Developing Potent
Molecules for Antibody-based Cancer Therapy.