Embedded Files
Dr. Nitish Kumar
Dr. Nitish Kumar
Postdoctoral Research Associate
Department of Chemistry,
Texas Christian University
Fort Worth, Texas, USA, 76109
nitish.kumar@tcu.edu
Mission & Vision
Mission & Vision
The scientific mission of the group: Advancing pharmaceutical research using phytoconstituents and computational chemistry.
The vision to bridge natural product chemistry, AI-driven drug discovery, and synthetic chemistry for global health impact.
🔬 Drug Discovery | Computational Chemistry | Phytoconstituent Research
🔬 Drug Discovery | Computational Chemistry | Phytoconstituent Research
Dr. Nitish Kumar is a pharmaceutical chemist and drug discovery researcher with expertise in molecular docking, computational drug design, and phytoconstituent identification for treating cancer, Alzheimer’s, hyperuricemia, diabetes, and infectious diseases. His interdisciplinary research integrates synthetic medicinal chemistry, bioinformatics, and machine learning-based drug prediction models to develop novel therapeutic agents.
With over 40 research publications, multiple patents, and extensive contributions to machine learning-driven bioactivity prediction, Dr. Kumar’s work has significantly advanced phytochemical-based drug discovery and computational pharmacology. He has been awarded the ICMR-SRF Direct Fellowship and has played a key role in securing government-funded research grants.
Beyond research, he is passionate about mentoring young scientists, fostering academic-industry collaborations, and advancing AI-driven drug discovery technologies.
Major Contributions
Major Contributions
🧬 Drug Discovery & Phytoconstituent Research
Developed novel flavone-based inhibitors targeting Xanthine Oxidase for hyperuricemia treatment, leading to patent filings and high-impact publications.
Isolated and characterized bioactive compounds from medicinal plants, contributing to natural product-based therapeutics.
Synthesized and optimized lead molecules for Alzheimer’s, cancer, and microbial infections.
💻 Computational Chemistry & AI-Driven Drug Discovery
Designed QSAR-based machine learning models to predict bioactivity, toxicity, and ADMET properties.
Developed bioactivity prediction applications integrating molecular docking, pharmacophore modeling, and molecular dynamics simulations.
Applied DFT and AI-driven modeling for rational drug design.
📊 Publications & Patents
Authored 40+ research papers in peer-reviewed journals, covering drug discovery, natural products, computational chemistry, and machine learning-based screening.
Filed patents for novel xanthine oxidase inhibitors and bioactive flavonoids.
🔍 Funding & Grants
Secured ₹ 8.8 lakh funding from the Indian Council of Medical Research (ICMR) for computational drug discovery research.
Contributed to a ₹ 38 lakh research grant proposal awarded by the Department of Biotechnology, India.
👨🏫 Teaching & Mentoring
Currently mentoring undergraduate and graduate students in computational drug discovery, medicinal chemistry, and phytochemical research.
Served as Assistant Professor & Research Advisor, guiding students in organic synthesis, instrumental methods, and bioinformatics.
Key Research Achievements
Key Research Achievements
✅ Machine Learning-Based Drug Discovery Models
Developed AI-driven QSAR models for predicting xanthine oxidase inhibition and drug-likeness properties.
Created a bioinformatics tool for bioactivity prediction (Bioactivity Streamlit App).
✅ Natural Product-Based Therapeutics
Discovered novel phytochemicals with antidiabetic, anticancer, and anti-inflammatory properties.
Isolated and characterized Shikonin derivatives for their enzyme inhibition potential in hyperuricemia treatment.
✅ Synthetic Medicinal Chemistry Breakthroughs
Designed and synthesized Donepezil-like derivatives for Alzheimer’s treatment, with high docking scores and bioactivity validation.
Developed hybrid molecules combining bioactive scaffolds for enhanced pharmacological properties.
✅ Industry & Academic Collaborations
Served as a peer reviewer for high-impact journals (Scientific Reports, Journal of Biomolecular Structure & Dynamics, Phytomedicine Plus).
Participated in collaborative research projects with pharmaceutical industry partners and academic institutions.
Funding
Funding
Bio-Medical Informatics division of Indian Council of Medical Research (2022-2024)
Component 4 of RUSA 2.0 Scheme (2019-2021)
Page updated
Google Sites
Report abuse