Kumarappan Chidambaram
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Machine learning-driven drug repurposing for HER2-positive breast cancer
Abstract Breast cancer, particularly the Human Epidermal Growth Factor Receptor 2 (HER2)-positive subtype, remains a significant clinical challenge due to its aggressive nature and the frequent development of resistance to targeted therapy. In this study, we created a comprehensive machine-learning (ML)-based drug repurposing framework to identify new HER2 inhibitors among FDA-approved drugs.
Machine learning guided virtual screening of FDA approved drugs targeting GSK-3β in Alzheimer’s disease
Kumar, B. S. et al. Alzheimer’s Disease Protein Targets: Comprehensive Review and Future Directions. (2024). Better, M. A. Alzheimer’s disease facts …
Flavonoid‐Rich Peanut Shell (Arachis hypogaea) Extract as a Functional Food Targeting Pancreatic Lipase to Regulate Lipid Metabolism in Rats
Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The authors have nothing to report. References 1, , , , and , “Natural Inhibitors of Pancreatic Lipase as New Players in Obesity Treatment,” Planta Medica 77 (2011): 773–785. 2, , , and , “Lipase Inhibitors for Obesity: A Review,” Biomedicine & Pharmacotherapy 128 (2020): 110314.
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