Bandral Sunil Kumar
Bandral Sunil Kumar is an expert in Pharmacy at M S Ramaiah University of Applied Sciences (India). Bandral Sunil Kumar has authored 7 publications, the most recent in 2026. SLR score: 34 (community average: 125). How the SLR is computed.
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Pharmacy
Subspecialties: Biochemistry - Neurology - Oncology
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Publications and Clinical Studies
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Career arc: 2023 - 2026
Number : 7
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Latest Publications
5 most recent indexed articles
Source: Pubmed
| Title | Journal | Year | Citations |
|---|---|---|---|
| Machine learning-driven drug repurposing for HER2-positive breast cancer. PMID 41942578 — breast neoplasms, pharmaceutical preparations, neoplasms, machine learning, breast, learning | Sci Rep | 2026 | 0 |
| Machine learning guided virtual screening of FDA approved drugs targeting GSK-3β in Alzheimer's disease. PMID 41354678 — alzheimer disease, pharmaceutical preparations, machine learning, learning, ligands, dolutegravir | Sci Rep | 2025 | 0 |
| Computational insights and experimental breakthroughs in identifying next-generation acetylcholinesterase inhibitors. PMID 40883512 — cells, acetylcholinesterase, pharmaceutical preparations, brain, letrozole, neuroglia, drug delivery systems, natural science disciplines, therapeutics, esterases | Sci Rep | 2025 | 0 |
| ATAD2 bromodomain in cancer therapy: current status and future perspectives. PMID 40334884 — genes, carcinogens, neoplasms, neoplasm metastasis, carcinogenesis, research, therapeutics | Int J Biol Macromol | 2025 | 0 |
| Development and evaluation of S-carboxymethyl-L-cystine-loaded solid lipid nanoparticles for Parkinson's disease in murine and zebrafish models. PMID 40158023 — locomotion, parkinson disease, nanoparticles, brain, cystine, dopamine, motor activity, signs and symptoms, natural science disciplines, acetylcholine, lipid nanoparticles | Sci Rep | 2025 | 1 |
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