Ravi Rawat

About

Dr. Ravi Rawat is a distinguished academician specializing in medicinal chemistry and pharmacoinformatics. He obtained his Ph.D. from Birla Institute of Technology, Mesra and M. S. in medicinal chemistry from National Institute of Pharmaceutical Education and Research, Mohali where he focused on development of novel Nitrogen-fused heterocycles molecules with anti-malarial and anti-cancer activities. His expertise lies in utilizing various computational tools and techniques to analyze drug-target interactions and optimize drug efficacy. He has received National Doctoral Fellowship with some other achievements as: recipient of 10+ honours and awards (including holding APTI Young Researcher Award, Top 10% Teacher Award, best speaker and poster presenter); successfully completed multiple research projects; published research in 50+ scientific journals; qualified national level exams and research grants (GPAT, NIPER-JEE, AICTE-NDF, RPS-NDF). He is life member of Indian Society of Chemists and Biologists (ISCB), Association of Pharmaceutical Teachers of India (APTI) and International Association of Academic Plus Corporate (IAAC). He wants to contribute in the integration of cutting-edge AI and data science-driven methodologies to expedite drug development, thus contributing to the advancement of healthcare.

Employment

• IIMT College of Engineering, Greater Noida Associate Professor
  2025 - 2026
• University of Petroleum and Energy Studies Assistant Professor (Senior Scale)
  2022 - 2025
• MVN University Assistant Professor
  2021 - 2022
• Birla Institute of Technology National Doctoral Fellow
  2018 - 2021

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (67)

• Phenothiazine–tetrazole hybrids as potent cholinesterase inhibitors: Integrated experimental and computational insights for Alzheimer's therapy
  Bioorganic Chemistry 2026 DOI: 10.1016/j.bioorg.2026.110350
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• In Silico Exploration of Algal-Derived Anticancer Agents: Insights from Molecular Docking, Dynamics, DFT and Toxicity Profiling
  Journal of Computational Biophysics and Chemistry 2026 DOI: 10.1142/S2737416525501157
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• Synergistic combinatorial anticancer potential of Tamoxifen with Naringin and Diosmetin in MCF-7 breast cancer cells and their liposomal delivery
  Scientific Reports 2026 DOI: 10.1038/s41598-026-37954-5
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• Pongamia pinnata (L.) Pierre leaf extract: in vitro, in vivo, and in silico approaches to combat the waterborne bacterial pathogens associated with diarrheal conditions
  Frontiers in Cellular and Infection Microbiology 2026 DOI: 10.3389/fcimb.2026.1830625
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• Lariciresinol: a potent natural compound with diverse therapeutic and health benefits
  NATURAL PRODUCT RESEARCH 2026 DOI: 10.1080/14786419.2025.2611424
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• In Silico Identification of Antihypertensive Phytoconstituents in Terminalia arjuna via Molecular Docking, MD Simulation, and DFT Analysis
  Current Pharmaceutical Design 2026 DOI: 10.2174/0113816128411043251026105409
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• In Silico ADMET Studies, Molecular Docking and Molecular Dynamics Simulation of Thiadiazole Derivatives for the Identification of Putative HsaA Monooxygenase Inhibitors
  Current Medicinal Chemistry 2026 DOI: 10.2174/0109298673346116250227101530
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• Hybridization of isatin and benzoxazolinone via a diethyl spacer: a new scaffold for breast cancer drug discovery
  Future Medicinal Chemistry 2026 DOI: 10.1080/17568919.2026.2684434
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• A computational drug design approach for optimization of PHGDH inhibitors in cancer metabolism
  In Silico Research in Biomedicine 2026 DOI: 10.1016/j.insi.2026.100460
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• Insights into in silico analysis to explore the multitarget antidepressant role of Camellia sinensis
  Journal of Biomolecular Structure and Dynamics 2026 DOI: 10.1080/07391102.2025.2498625
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