About Us
Protein Bioinformatics lab was established at the Department of Biotechnology, Indian Institute of Technology Madras in December 2010. The main focus of our lab is to understand the sequence-structure-function relationship of proteins using the techniques in bioinformatics, biophysics and computational biology. We are working on various research projects on protein structure, folding, stability, interactions and aggregation. In addition, we are addressing issues related to disease-causing mutations in membrane proteins, next generation sequence analysis, deep learning in life sciences, proteome-wide annotations and structure-based drug design. We have also initiated experiments to validate some of our analyses. Specific research interests are listed below:
- Developing databases and tools to analyse binding affinity of protein-protein complexes as well as the integrative analysis of stabilizing and binding residues in protein complexes (Curr. Opin. Struct. Biol., 2016; Bioinformatics, 2017; Int. J. Biol. Macromol., 2017)
Read More » - Developing a database and algorithm for aggregating peptides, aggregation prone regions in proteins and aggregation rates, and reporting on overlapping between aggregation prone regions and autoimmunogenic regions (Bioinformatics, 2014; Sci. Rep., 2016; PLoS ONE, 2016; Proteins, 2017)
Read More » - Disease-causing mutations in membrane proteins: database analysis and discrimination of driver and passenger mutations in cancer (Biochim. Biophys. Acta, Mol. Basis Dis., 2016; Mutat. Res. Fund. Mol. Mech. Mut., 2015).
Read More » - Structure-based drug design for identifying potent leads against dengue and cancer (Sci. Rep., 2015; Chem. Biol. Drug Des., 2017; J. Biomol. Struct. Dyn., 2017)
Read More » - Next generation sequence analysis and deep learning
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