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Associate Professor at Computer Science and Engineering
Ask questions about Md Omar Faruqe's research, publications, and ongoing work
Utilized molecular docking and deep learning to identify potential inhibitors for the SARS-CoV-2 main protease from medicinal plant-based phytochemicals.
Developed a robust method for identifying common genomic biomarkers from multiple gene expression profiles for the prognosis, diagnosis, and therapies of pancreatic cancer.
Investigated core genes by comparative transcriptomics analysis for early diagnosis, prognosis, and therapies of colorectal cancer.
Unveiled neuroprotective potential of spice plant-derived compounds against Alzheimer's Disease using computational studies.
Integrated immunoinformatics and computational techniques to design a multi-epitope vaccine for Human Parechovirus.
Investigated the inhibition of Fimbria Adhesin Protein of Klebsiella pneumoniae by using Hylocereus undatus-derived compounds through molecular docking, MD simulations, and in vitro validation.
Associate Professor Md Omar Faruqe specializes in bioinformatics and computational methods for drug discovery and cancer research. His work focuses on identifying biomarkers and potential therapeutics using advanced computational techniques and plant-derived compounds.
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