The Medical Biotechnology and Computational Drug Designing Laboratory is dedicated to understanding and addressing the causes of antimicrobial resistance through advanced techniques in genomics, proteomics, systems biology, and structural bioinformatics. Our research focuses on clinically significant nosocomial bacterial pathogens and developing sustainable therapeutic regimens by combining active phytocompounds from medicinal plants with effective antibiotics. All our experiments adhere to guidelines set by the World Health Organization (WHO) and The Indian Council of Medical Research (ICMR), following CLSI breakpoints and EUCAST standards.

We also emphasize isolating and characterizing novel probiotics with high nutritional value and enhanced immune-modulatory potential. Our lab has a proven track record of screening and characterizing novel probiotic strains from student projects, which are successfully deposited in the NCBI database. Equipped with cutting-edge workstations, we conduct extensive computational research to design novel antimicrobial peptides and lead molecules through computer-aided drug design (CADD). Our lab has successfully modeled several protein structures through computational experimentation and deposited them in the Protein Model Database for public use.

Our work also extends to bioremediation strategies for treating sewage and wastewater, as well as phyto-rhizoremediation techniques. The lab is extensively equipped with instruments for in-silico and in-vitro experiments, including advanced workstations for genomics and computational drug design, orbital shaking incubators, autoclaves, rotary shakers, water baths, precision weighing balances, heating mantles, heating plates with magnetic stirrers, Gel-doc instruments, and basic extraction and chromatographic setups for clinical, food, and environmental microbiological experiments.
The lab has received institutional funding for research and has a strong track record of publishing papers in international peer-reviewed journals. We are actively involved in guiding students for their dissertation projects and hands-on training activities. Dr. Aniket conducts several hands-on training sessions to help students cope with advanced and AI-based technologies.