Registration No.:	21PIP565
Name:	Rajkumar R
Ph.D. Thesis Title:	Designing novel G-protein biased agonists for opioid receptors using a fusion of molecular modelling and AI approaches
Connect at:	Linkedin
Research: 4
Katari O, Yadav V, Rajkumar R, Garg P, Jain S. Cisplatin(IV)-Fatty Acid Prodrug-Bound Albumin Nanoparticles: In Vitro, In Silico, and In Vivo Evaluation in Breast Cancer Therapy. Nanomedicine: Nanotechnology, Biology and Medicine 2026, 72: 102910.
Rajkumar R, Varma T, Garg P. Discovery of Putative G-Protein-Biased μ-Opioid Agonists via Hierarchical Virtual Screening of Ultra-Large Chemical Space. Molecular Diversity 2026, .
Rajkumar R, Sharma A, Badade A, Varma T, Garg P. OpioidBias: A Machine Learning Framework for Predicting Biased Agonism of Opioid Ligands. ACS Medicinal Chemistry Letters 2025, 16: 2467-2476.
Varma T, Kamble P, Rajkumar R, Garg P. Computational discovery of ATP-competitive GSK3β inhibitors using database-driven virtual screening and deep learning. Molecular Diversity 2025, .
Review: 1
Kumar R, R R, Diwakar V, Khan N, Meghwanshi GK, Garg P. Structural–functional analysis of drug targets for aspartate semialdehyde dehydrogenase. Drug Discovery Today 2024, 29: 103908.
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.