Experienced biotechnologist and computational chemist with a strong background in industry and academic collaborative research. Skilled in molecular modeling and dynamics simulations, utilizing quantum and molecular mechanics approaches to analyze protein structure and behavior. Adept in drug discovery methods, lead optimization, and ensemble-based energy evaluation of protein-ligand binding dynamics, with a focus on experiment prioritization. Committed to fostering a culture of optimism, learning, and knowledge sharing as a collaborative team player.
Research Title: Lead molecule development directed by synovial biology for rheumatoid arthritis using fragment quantum mechanical approach. Funded by DBT India (#BT/COE/34/SP15246/2015-Phase-II)
LeadInvent Technologies Pvt. Ltd, TBIU, New Delhi
Supercomputing Facility for Bioinformatics and Computational Biology, IIT Delhi
Programming languages: Shell (bash) scripting, Perl, Python
Operating systems: Windows, Linux, executing and managing jobs on cluster machines and parallel computing environment
Molecular modeling packages: AMBER, GROMACS, NAMD, Gaussian09, Schrodinger, Autodock, Delphi, Modeller, small-molecule library builder (MarvinSketch, HyperChem, ChemDraw), visualization tools (Discovery studio, Maestro, VMD, Pymol), plotting tools (Xmgrace, SciPy python package)