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Researcher at Research Department
Ask questions about Md. Ekhtiar Rahman's research, publications, and ongoing work
Identified potential inhibitors of the SARS-CoV-2 main protease from plant-derived compounds using virtual screening and molecular dynamics simulation.
Developed PhytochemDB, a platform for virtual screening and computer-aided drug designing, enhancing the efficiency of drug discovery processes.
Discovered plant-based inhibitors against human carbonic anhydrase IX using computational methods and molecular dynamics simulation, potentially impacting cancer treatment.
Investigated potential inhibitors targeting SARS-CoV-2 nonstructural protein 15 endoribonuclease using in silico methods.
Identified spice plant-derived compounds with neuroprotective potential against Alzheimer’s disease through computational studies.
Characterized plant-derived natural inhibitors of dipeptidyl peptidase-4 as potential antidiabetic agents using computational approaches.
Md. Ekhtiar Rahman specializes in computational drug discovery, applying molecular docking and dynamics simulations to identify potential inhibitors for various diseases, including viral infections and neurodegenerative disorders. His research leverages plant-based phytochemicals and computational methods to advance drug development.
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