Postdoctoral Research Scientist
As a postdoctoral research scientist in the Honig Lab, Deepika Mathur’s research focuses on the protein-protein and ligand-protein interactions on a genome-wide scale for the identification of putative therapeutic targets for the development of new treatments of cancer and for understanding the origin of oncogenesis. She is also involved in developing methods for the prediction of protein-drug interactions. Deepika earned her PhD under the supervision of Dr. G.P.S. Raghava at CSIR- Institute of Microbial Technology, Chandigarh (Dr. Raghava has moved to Indraprastha Institute of Information Technology, New Delhi). During her doctoral work, she was involved in developing several public domain resources like databases and prediction methods for optimizing the properties of therapeutic peptides to expedite their translation into the market as therapeutic agents.
PhD, CSIR- Institute of Microbial Technology, Chandigarh, India, Bioinformatics
MSc, Banaras Hindu University, Varanasi, India, Biotechnology
Mathur D., Singh S., Mehta A., Agrawal, P. and Raghava G.P. (2018) In silico approaches for predicting the half-life of natural and modified peptides in blood. PLoS One 13 (6), e0196829.
Mathur D., Mehta A., Firmal P., Bedi G., Sood C., Gautam A. and Raghava G.P. (2018). TopicalPdb: A database of topically delivered peptides. PLoS One 13 (2), e0190134.
Mathur, D., Prakash, S., Anand, P., Kaur, H., Agrawal, P., Mehta, A., Kumar, R., Singh, S., and Raghava, G.P. (2016). PEPlife: A Repository of the Half-life of Peptides. Sci Rep 6, 36617.
Chaudhary, K., Kumar, R., Singh, S., Tuknait, A., Gautam, A., Mathur, D., Anand, P., Varshney, G.C., and Raghava, G.P. (2016). A Web Server and Mobile App for Computing Hemolytic Potency of Peptides. Sci Rep 6, 22843.