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Geet Madhukar

Postdoctoral Research Associate
Office: Rudman Hall, Durham, NH 03824
Websites:
Curriculum Vitae

Selected Publications

  • Madhukar, G., Haque, M. A., Khan, S., Kim, J. -J., & Danishuddin. (2025). E3 ubiquitin ligases and their therapeutic potential in disease Management.. Biochem Pharmacol, 236, 116875. doi:10.1016/j.bcp.2025.116875

  • Danishuddin., Haque, M. A., Madhukar, G., Jamal, Q. M. S., Kim, J. -J., & Ahmad, K. (2025). Machine Learning-Driven Consensus Modeling for Activity Ranking and Chemical Landscape Analysis of HIV-1 Inhibitors.. Pharmaceuticals (Basel), 18(5). doi:10.3390/ph18050714

  • Madhukar, G., & Subbarao, N. (2024). Potential inhibitors of RPS6KB2 and NRF2 in head and neck squamous cell carcinoma.. J Biomol Struct Dyn, 42(4), 1875-1900. doi:10.1080/07391102.2023.2205946

  • Madhukar, G., & Subbarao, N. (2023). Current and Potential Pharmacological Targets for Therapeutic Intervention in Head and Neck Squamous Cell Carcinoma. In Socio-Scientific Interaction in Diabetes and Cancer and Its Management (pp. 63-98). B P International. doi:10.9734/bpi/mono/978-81-968135-7-4/ch5

  • Bhandari, D., Kachhap, S., Madhukar, G., Adepu, K. K., Anishkin, A., Chen, J. -R., & Chintapalli, S. V. (2022). Exploring GPR109A Receptor Interaction with Hippuric Acid Using MD Simulations and CD Spectroscopy.. Int J Mol Sci, 23(23). doi:10.3390/ijms232314778

  • Madhukar, G., & Subbarao, N. (2022). In-silico prediction of potential inhibitors against phosphatidylinositol 3-kinase catalytic subunit alpha involved in head and neck squamous cell carcinomas.. J Biomol Struct Dyn, 40(10), 4697-4712. doi:10.1080/07391102.2020.1861980

  • Madhukar, G., & Subbarao, N. (2022). Identification of potent and novel inhibitors against RAC1: a Rho family GTPase.. In Silico Pharmacol, 10(1), 13. doi:10.1007/s40203-022-00127-z

  • Madhukar, G., & Subbarao, N. (2021). Current and Future Therapeutic Targets: A Review on Treating Head and Neck Squamous Cell Carcinoma.. Curr Cancer Drug Targets, 21(5), 386-400. doi:10.2174/1568009620666201229120332

  • Danishuddin., Madhukar, G., Malik, M. Z., & Subbarao, N. (2019). Development and rigorous validation of antimalarial predictive models using machine learning approaches.. SAR QSAR Environ Res, 30(8), 543-560. doi:10.1080/1062936X.2019.1635526

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  • Most Cited Publications