MH
Md. Imtaiyaz Hassan
Also known as: MD IMTAIYAZ HASSAN
Jamia Millia Islamia, All India Institute of Medical Sciences, Aligarh Muslim University
Employment
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Jamia Millia Islamia Professor2023 - Present
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Jamia Millia Islamia Associate Professor2020 - 2023
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Jamia Millia Islamia Assistant Professor2009 - 2020
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Jamia Millia Islamia Young Scientist2007 - 2009
Education
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All India Institute of Medical Sciences Ph.D.2003 - 2007
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Aligarh Muslim University M. Sc.2001 - 2003
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Aligarh Muslim University B. Sc.1998 - 2001
Projects & Funding
Projects & funding information is unavailable.
Publications (580)
- Traumatic brain injury: Multi-omics insights into brain aging, neurodegeneration, and precision therapeutics Save
- Elucidating the Antiglycation Potential of Plumbagin Against Methylglyoxal‐Induced Glycation of Bovine Liver Catalase Save
- Next-generation computational strategies for neurodegenerative biomarkers: Multi-omics integration, AI, and molecular modeling Save
- Structure-based drug repurposing reveals ponatinib and lapatinib as stable inhibitors of Aurora kinase B: Mechanistic insights from high-resolution molecular dynamics and free-energy analyses Save
- Machine Learning-Driven Ensemble Screening of Multitarget Kinase Inhibitors for Tauopathy-Associated Neurodegeneration Using All-Atom and Steered MD Simulations Save
- Integrated Virtual Screening and Molecular Dynamics Simulation Study to Discover Potential Activators of γ‐Aminobutyric Acid B Receptor 1 for Therapeutic Targeting of Neurodegenerative Diseases Save
- Multi‐Omics and Machine Learning‐Driven Discovery of ABCC8 (SUR1) for Diabetes Mellitus: Integrating Molecular Insights on Nigella sativa Bioactives and Sulfonylurea Save
- Stability and Conformational Dynamics of Interferons: Structural Insights into the Urea- and Guanidinium Chloride-Induced Unfolding Save
- Phytochemicals as potential AXL inhibitors for cancer therapy: A computational study Save
- Identification of FDA-Approved Drugs as Potential Inhibitors of WEE2: Structure-Based Virtual Screening and Molecular Dynamics with Perspectives for Machine Learning-Assisted Prioritization Save