Natural Product-Based Drug Discovery (Phytochemical isolation and characterization).
Computational Drug Design (Molecular docking, QSAR, molecular dynamics).
Synthesis of Bioactive Molecules (Medicinal chemistry and lead optimization).
AI & Machine Learning in Drug Discovery (Predictive modeling for bioactivity and ADMET)
Preclinical Validation (In vitro and in vivo testing of therapeutic compounds).
Development of novel Flavone-based Xanthine Oxidase Inhibitors for the Treatment of Hyperuricemia
Development of Different Analytical Methods for the Testing of Various Phyto-constituents in Drug Testing Laboratory
Molecular Modelling Based Design and Synthesis of Donepezil Like Derivatives as Acetylcholinesterase Inhibitors
In-Vitro Comparative Study of Anti-Oxidant and Anti-Microbial Activities of Different Types of Teas in The Areas of Kangra
Graduates
Design, synthesis, biological evaluation and molecular docking studies of coumarin-barbiturate hybrids as potent α-Glucosidase inhibitors (2020-21)
Design, synthesis, in-silico and biological evaluation of mono-carbonyl curcumin-based ferrocene derivatives as potent anticancer agents (2020-21)
Fragment based design, synthesis, in-silico and biological evaluation of novel triazole linked quinoline hybrids as antimicrobial agents (2021-22)
Exploration of Biological potential of Quinoline Derivatives: in-silico and in-vitro study (2022-23)
Undergraduates
Anti-diabetic Phytoconstituents as Potent aldose reductase inhibitors: In-silico Study.