Registration No.:	16PIM2462
Name:	Hardeep
M.S.(Pharm.) Thesis Title:	in silico Modelling to Predict Drug-Induced Phospholipidosis by using Machine Learning Approach
Connect at:	Linkedin
Research: 4
Sandhu H, Kumar RN, Garg P. Machine learning-based modeling to predict inhibitors of acetylcholinesterase. Molecular Diversity 2022, 26: 331-340.
Gahlawat A, Kumar N, Kumar R, Sandhu H, Singh IP, Singh S, Sjostedt A, Garg P. Structure-Based Virtual Screening to Discover Potential Lead Molecules for the SARS-CoV-2 Main Protease. Journal of Chemical Information and Modeling 2020, 60: 5781-5793.
Mor S, Sindhu S, Nagoria S, Garg P, Sandhu H and Kumar A. Synthesis, Biological Evaluation, and Molecular Docking Studies of Some N-thiazolyl Hydrazones and Indenopyrazolones. Journal of Heterocyclic Chemistry 2019, 56: 1622-1633.
Kharangarh S, Sandhu H, Tangadpalliwar S, Garg P. Predicting Inhibitors for Multidrug Resistance Associated Protein-2 Transporter by Machine Learning Approach. Combinatorial Chemistry & High Throughput Screening 2018, 21: 557-566.
Review: 1
Jaladanki CK, Gahlawat A, Rathod G, Sandhu H, Jahan K, Bharatam PV. Mechanistic studies on the drug metabolism and toxicity originating from cytochromes P450. Drug Metabolism Reviews 2020, 52: 366-394.
Books/Book Chapters: 1
Gahlawat A, R R, Varma T, Kamble P, Banerjee A, Sandhu H, Garg P. Bioinformatics: Theory and Applications. In The Quintessence of Basic and Clinical Research and Scientific Publishing 2023. Edited By Jagadeesh G, Balakumar P, Senatore F.