Wajid Aslam Khan
Research areas: Pharmacology, Toxicology and Pharmaceutics · Drug Discovery · Computational Drug Discovery Methods · Natural Antidiabetic Agents Studies · Metabolism, Diabetes, and Cancer
About
PhD Candidate | Biotechnology
Unraveling the Mechanisms of Metabolic Memory in Type 2 Diabetes and diabetics nephropathy.
Driven by a passion for understanding the intricate interplay between genetics, environment, and disease, I am dedicated to investigating the role of epigenetics in the development and progression of metabolic diseases, particularly Type 2 Diabetes and associated complications like nephropathy. My research focuses on exploring the mechanisms of metabolic memory and its implications for long-term health outcomes.
With a strong foundation in both biotechnology and philosophy, I am committed to a holistic approach to scientific inquiry. I strive to translate complex scientific concepts into actionable insights to improve human health and well-being.
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Publications (12)
- Computational Evaluation of AMPKāActivating Phytochemical Analogues Targeting Metabolic Memory in Type 2 Diabetes Save
- AMPK as a central regulator of metabolic memory: mechanisms and therapeutic opportunities Save
- Analytical Techniques for Quality Control of Botanical Extracts Save
- Impact of Extraction Methods on Extract Quality and Efficacy Save
- Analytical Techniques for Quality 6 Control of Botanical Extracts Save
- Epigenetic age acceleration in diabetes and its clinical implications Save
- Equilibrium and non-equilibrium thermodynamics in drug repurposing: Machine learning-guided discovery of high-affinity WEE1 kinase inhibitors Save
- Impact of Extraction Methods on Extract Quality and Effcacy Save
- Genomic Technologies Save
- Enhancing Anti-Diabetic effects of acarbose with natural Polymers: Mitigation of oxidative stress and inflammatory markers in Drosophila melanogaster (Oregon R + Strain) Save
- Flaxseed in Diabetes Management: Nutritional and Therapeutic Insights Save
- Genomic Technologies: Next-Generation Sequencing and CRISPR Applications Save