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Assistant Professor at Chemistry
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Utilized molecular docking, dynamics simulations, and ADMET analysis to identify potential drug candidates against SARS-CoV-2, contributing to the fight against the pandemic.
Synthesized and characterized new Schiff base-metal complexes, and evaluated their antibacterial properties using computational methods and experimental assays.
Employed computational techniques to study the potential of 2,3-dihydrobenzofuran derivatives as inhibitors of fungi, bacteria, and viruses, providing insights into their biological activity.
Conducted first-principles calculations to investigate the properties of lead-free perovskites, contributing to the development of more sustainable photovoltaic materials.
Utilized computational approaches to design and evaluate potential inhibitors for triple-negative breast cancer, contributing to the development of targeted therapies.
Employed in silico methods to screen and identify potential inhibitors for black and white fungus, contributing to the development of new antifungal agents.
Studied the impact of molecular structure on the biological activity of ionic liquids, using computational methods to understand structure-activity relationships.
Ajoy Kumer is a leading researcher in computational chemistry and drug design, with a strong focus on applying in silico methods to discover and develop novel therapeutics, particularly in the areas of cancer and infectious diseases. His work has significantly contributed to the understanding of molecular interactions and the development of new drug candidates.
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