Biography
Chirag Patel
Computational Chemist | Structural Bioinformatics |
AI-Drug Discovery
Professional Summary
Computational chemist and AI-driven drug discovery scientist with 10+ years of experience across NIH, TII, and academia. Expert in structure- and ligand-based virtual screening, cheminformatics tool development, and deep learning for billion-compound libraries. Proven track record of high-impact publications (~75, h-index 25). Adept at leading interdisciplinary teams to translate computational models into therapeutic candidates.
Core Expertise
Chemoinformatics
Specialized knowledge in chemical information systems and computational methods for analyzing chemical data structures.
Structural Bioinformatics
Extensive experience in Structural Bioinformatics, specializing in protein-ligand interactions, molecular docking, and structure-based drug design.
AI-Drug Discovery
Extensive experience in AI-based Drug Discovery, specializing in target identification, virtual screening, and lead optimization using computational and structure-based approaches.
Current Positions
1
The National Institutes of Health
Special Scientist
January 2024 - Present
2
Frontiers in Sensors
Associate Editor
March 2023 - Present
3
Frontiers in Artificial Intelligence
Editor
August 2022 - Present
4
Editorial Board member
Computers in Biology and Medicine
April 2024 - Present
Previous Experience
Technology Innovation Institute
Senior Scientist
May 2023 - April 2025
Abu Dhabi, UAE
National Cancer Institute (NCI), NIH
Postdoctoral Fellow
February 2021 - May 2023
United States
Gujarat University
Team Lead-Proteomics
September 2019 - January 2021
Navrangpura, Ahmedabad
Academic Background
Bachelor of Science (B.Sc.)
Microbiology, General
Gujarat Arts and Science College
2007 - 2011
Master of Science (MSc)
Bioinformatics
Gujarat University
2011 - 2013
M.Phil.
Bioinformatics
Gujarat University
2013 - 2015
Doctor of Philosophy (PhD)
Bioinformatics
Gujarat University
2015 - 2020
Certifications & Additional Skills
Certifications
  • Deep Learning Essentials with Keras
Research Interests
  • Chemoinformatics
  • Structural Bioinformatics
  • Computational Biology
  • Applied Machine Learning
  • AI-Driven Drug Discovery
Latest Research Publications
A potent NLRP3 inhibitor effective against both MCC950-sensitive and -resistant inflammation.
Cell Chemical Biology (2025) - Impact Factor: 7.2
Ferroptosis-activating metabolite acrolein antagonizes necroptosis and anti-cancer therapeutics.
Nature Communications (2025) - Impact Factor: 14.7
Strategies for Redesigning Withdrawn Drugs to Enhance Therapeutic Efficacy and Safety.
WIREs Computational Molecular Science (2025) - Impact Factor: 26
Research Collaboration
A diverse network of international collaborations across computational chemistry, immunology, Medicinal Chemistry & Neuropharmacology, and machine learning.
Computational Chemistry Excellence
Prof. Andreas Bender
University of Cambridge, UK
Pioneering research in data-driven drug discovery and molecular informatics, leveraging large-scale data for novel therapeutic insights.
Computational Immunology Collaboration
Prof. Rajendra Karki
Seoul National University, Seoul
Computational Innate Immunology research and applications.
Neuropharmacology & Drug Design Collaboration
Dr. Nigel H. Greig
National Institute of Aging, NIH
Drug Design & Translational Neuropharmacology
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