Registration No.:	15PIM2244
Name:	Mushtaq Ahmad Wani
M.S.(Pharm.) Thesis Title:	Prediction of Antimicrobial Peptides by using Machine Learning Approach
Connect at:	Linkedin
Research: 6
Malik JA, Wani MA, Dar MO, Garg P, Agrewala JN. Drugs repurposed against morphine and heroin addiction: Molecular docking, DFT MM/GBSA-based MD simulation studies. In Silico Pharmacology 2025, 13: 67.
Shankar G, Kumar P, Rai S, Ghosh A, Varma T, Wani MA, Kumar S, Mandloi U, Singh GK, Garg P, Kulkarni O, Srikrishna S, Kumar S, Modi G. Discovery of novel hybrid tryptamine-rivastigmine molecules as a potent AChE and BChE inhibitors exhibiting multifunctional properties for the management of Alzheimer’s disease. European Journal of Medicinal Chemistry 2025, 283: 117066.
Shorog E, Yasmin S, Mansuri R, Raj A, Dar MO, Ashique S, Jamal QMS, Alharbi AH, Wani MA, Ansari MY. Targeting tryparedoxin-dependent peroxidase (TXNPx) enzyme to identify repurposing drug candidates from FDA-approved drugs and natural products using virtual screening, ADME/Tox and MD simulations. Biochemistry and Biophysics Reports 2025, 43: 102096.
Wani MA, Banerjee A, Garg P. Computer-Aided Drug Design Approaches for the Identification of Potent Inhibitors Targeting Elongation Factor G of Mycobacterium tuberculosis. Journal of Molecular Graphics and Modelling 2025, 136: 108954.
Wankhade N, Sharma A, Wani MA, Banerjee A, Garg P. Predictive Modelling and Drug Repurposing for Type-II Diabetes. ACS Medicinal Chemistry Letters 2024, 15: 1907-1917.
Wani MA, Garg P and Roy KK. Machine learning-enabled predictive modeling to precisely identify the antimicrobial peptides. Medical & Biological Engineering & Computing 2021, 59: 2397-2408.
Review: 1
Kumar N, Wani MA, Raje CI, Garg P. Unlocking translational machinery for antitubercular drug development. Trends in Biochemical Sciences 2024, 49: 195-198.
Books/Book Chapters: 0