معرفی
Geet Madhukar is a Research Fellow at the University of New Hampshire (UNH) in the Department of Molecular, Cellular & Biomedical Sciences within the College of Life Sciences and Agriculture. Their work focuses on computational drug discovery, molecular modeling, and understanding therapeutic targets for cancer and infectious diseases. Specializing in machine learning applications for drug design and structure-based approaches, they investigate targets such as kinases, ubiquitin ligases, and receptors involved in oncogenesis and viral pathogenesis.
Research interests include developing predictive models for antiviral and anticancer agents using consensus modeling, molecular dynamics simulations, and in silico screening techniques. Their recent studies explore therapeutic potentials of E3 ubiquitin ligases, RPS6KB2/NRF2 pathways in head and neck cancers, and GPR109A receptor interactions. Work also involves optimizing inhibitors for MEK1, RAC1, and PI3Kα kinases using advanced computational methodologies.
Publications highlight contributions to drug repurposing strategies, antimalarial predictive models, and rigorous validation of pharmacological targets. Madhukar collaborates on interdisciplinary projects at UNH's Molecular Cellular & Biomedical facilities, advancing translational research from molecular mechanisms to clinical applications.
