Dr. Somdutt Mujwar | Computational Nanotechnology | Excellence in Innovation

Dr. Somdutt Mujwar | Computational Nanotechnology | Excellence in Innovation

Dr. Somdutt MujwarĀ  , Chitkara University, Punjab , India

Dr. Somdutt Mujwar is a distinguished Computational and Medicinal Chemist renowned for his extensive contributions to drug design and discovery. Currently an Associate Professor at Chitkara College of Pharmacy, Chitkara University, India, he applies advanced computational techniques and machine learning in pharmaceutical research. With a robust academic background including a Ph.D. in Bioinformatics from Maulana Azad National Institute of Technology, Dr. Mujwar has made significant strides in computational drug repurposing and genomics-driven drug target identification. His research has been widely published in reputable journals, contributing to advancements in understanding molecular interactions and developing novel therapeutic strategies. Dr. Mujwar’s expertise extends to molecular docking, pharmacophore modeling, and quantitative structure-activity relationship studies, reflecting his commitment to leveraging computational tools for innovative drug development.

Professional Profile:

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Education:

Dr. Somdutt Mujwar is an accomplished Computational and Medicinal Chemist with a Ph.D. in Bioinformatics from Maulana Azad National Institute of Technology, Bhopal, India. He currently holds the position of Associate Professor at Chitkara College of Pharmacy, Chitkara University, where he leads research applying advanced computational techniques and machine learning in pharmaceutical sciences. Dr. Mujwar’s academic journey includes a Master of Pharmacy in Pharmaceutical Chemistry from Rajiv Gandhi Technical University and a Bachelor of Pharmacy from Barkatullah University, both in India.

Work Experience:

His professional experience spans significant roles such as Assistant Professor at the Institute of Pharmaceutical Research, GLA University, Mathura, where he focused on computational drug repurposing and established a computational drug design laboratory. Previously, as a Doctoral Research Fellow at Maulana Azad National Institute of Technology, he conducted pioneering research on riboswitches as drug targets. Dr. Mujwar’s research contributions have been published extensively in reputable journals, advancing the fields of molecular docking, pharmacophore modeling, and quantitative structure-activity relationship studies. His work underscores a deep commitment to leveraging computational tools for innovative drug discovery and development.

Publication Top Notes:

  1. Doxorubicinā€”an agent with multiple mechanisms of anticancer activity
    • Cited by 98
    • Year: 2023
    • Journal: Cells 12 (4), 659
  2. Repurposing metocurine as main protease inhibitor to develop novel antiviral therapy for COVID-19
    • Cited by 68
    • Year: 2020
    • Journal: Structural chemistry 31 (6), 2487-2499
  3. A retrospect on antimicrobial potential of thiazole scaffold
    • Cited by 63
    • Year: 2020
    • Journal: Journal of Heterocyclic Chemistry 57 (6), 2304-2329
  4. Molecular Docking and In Silico Cogitation Validate Mefenamic Acid Prodrugs as Human Cyclooxygenase-2 Inhibitor
    • Cited by 63
    • Year: 2019
    • Journal: ASSAY and Drug Development Technologies 17 (6)
  5. Computational repurposing of tamibarotene against triple mutant variant of SARS-CoV-2
    • Cited by 57
    • Year: 2021
    • Journal: Computers in Biology and Medicine 136, 10474