Visiting Scientist — Division of Biochemical Toxicology
Darshan Mehta, Ph.D.
Dr. Darshan Mehta is a visiting scientist in NCTR’s Division of Biochemical Toxicology. He received his bachelor’s degree in chemical engineering in 2008 from the Institute of Chemical Technology (formerly UDCT) in Mumbai, India. After working at Reliance Industries Limited, he decided to come to the United States to pursue graduate studies in 2010. He received a master’s degree in applied statistics (MAS) in 2013 and a Ph.D. in chemical engineering in 2016 from Ohio State University. His dissertation research focused on developing novel Quantitative Structure-Activity Relationship (QSAR) approaches for predicting chemically-induced toxicity, specifically mutagenicity and skin sensitization. His work was recognized by the American Chemical Society’s Division of Chemical Informatics (CINF) when he was awarded the CINF scholarship for scientific excellence at the society’s biannual meeting in August 2015. Following his graduate studies, he accepted an ORISE postdoctoral fellowship with the Office of Food Additive Safety in the Center for Food Safety and Applied Nutrition (CFSAN) at FDA in College Park, Maryland; while there, he helped develop chemically-intelligent software platforms for the identification of structural analogs and automated tools for redaction of confidential information for expediting data sharing with external stakeholders. He then joined NCTR as an ORISE fellow in late 2017 to gain experience in bioinformatics, drug labeling, and pharmacogenomics. After a one-year stint, he moved to NCTR’s Division of Biochemical Toxicology to work on developing a multi-pathway physiologically-based pharmacokinetic (PBPK) model for nicotine in humans. He was then converted to an FDA staff fellow in September 2019 and has since been the principal investigator for the human nicotine PBPK modeling project. He also provides statistical and pharmacokinetic data analysis support for other ongoing projects at NCTR.
Dr. Mehta’s research interests lie in modeling chemical effects in biological systems using computational and statistical modeling methods. He specializes in the development and utilization of PBPK models for predicting the disposition of chemicals in animals and humans. These PBPK models are useful in determining the internal tissue dosimetry for a given exposure scenario as well as in understanding the ADME (absorption, distribution, metabolism, and excretion) profile of chemicals in intact biological organisms. Dr. Mehta is currently working on developing a multi-pathway PBPK model for nicotine in humans to assist the FDA Center for Tobacco Products (CTP) in making science-based regulatory decisions. Dr. Mehta is skilled in multiple computer programming languages and in using several data analysis, cheminformatics, and PBPK modeling software platforms. He looks forward to collaborating with other product centers at FDA to help advance its mission of protecting and promoting public health.
Professional Societies/National and International Groups
American Chemical Society (ACS)
2015 – 2016
Society of Toxicology (SOT)
2016 – 2017
Study of Pharmacogenomic Information in FDA-approved Drug Labeling to Facilitate Application of Precision Medicine.
Mehta D., Uber R., Ingle T., Li C., Liu Z., Thakkar S., Ning B., Wu L., Yang J., Harris S., Zhou G., Xu J., Tong W., Lesko L., and Fang H.
Drug Discov Today. 2020, 25(5):813-820, doi: 10.1016/j.drudis.2020.01.023 [Epub Feb 04, 2020].
Characterizing Biopersistence Potential of the Metabolite 5:3 Fluorotelomer Carboxylic Acid After Repeated Oral Exposure to the 6:2 Fluorotelomer Alcohol.
Kabadi S.V., Fisher J.W., Doerge D.R., Mehta D., Aungst J., and Rice P.
Toxicol Appl Pharmacol. 2020, 388:114878, doi: 10.1016/j.taap.2020.114878 [Epub Jan 07, 2020].
Fundamentals of Physiologically Based Pharmacokinetic Modeling.
Fisher J.W., Yang X., Mehta D., Housand C., and Lin Z.
In: Fisher J., Gearhart J., and Lin Z., eds.
Physiologically Based Pharmacokinetic (PBPK) Modeling: Methods and Applications in Toxicology and Risk Assessment. 2020: 57-80, doi: 10.1016/B978-0-12-818596-4.00003-5.
Chemical Absorption and Writing Code for Portals of Entry.
Fisher J.W., Gearhart J.M., Campbell J.L. Jr., and Mehta D.
In: Fisher J., Gearhart J., and Lin Z., eds.
Physiologically Based Pharmacokinetic (PBPK) Modeling: Methods and Applications in Toxicology and Risk Assessment. 2020: 127-138, doi: 10.1016/B978-0-12-818596-4.00005-9.
Ontogeny Equations with Probability Distributions for Anthropomorphic Measurements in Preterm and Term Neonates and Infants For Use in a PBPK Model.
Yang X., Wu H., Mehta D., Sullivan M.C., Wang J., Burckart G.J., Troutman J.A., and Fisher J.W.
Comput Toxicol. 2019, 11:101-117, doi: 10.1016/j.comtox.2019.03.007 [Epub Apr 01, 2019].
Study of Serious Adverse Drug Reactions Using FDA-approved Drug Labeling and MedDRA.
Wu L., Ingle T., Liu Z., Zhao-Wong A., Harris S., Thakkar S., Zhou G., Yang J., Xu J., Mehta D., Ge W., Tong W., and Fang H.
BMC Bioinformatics. 2019, 20(Suppl 2):97:129-139, doi: 10.1186/s12859-019-2628-5.
Cheminformatics in Modern Regulatory Science.
Yang C., Rathman J.F., Tarkhov A., Sacher O., Kleinoeder T., Liu J., Magdziarz T., Mostraq A., Marusczyk J., Mehta D., Schwab C., and Bienfait B.
In: Engel T. and Gasteiger J., eds.
Applied Cheminformatics: Achievements and Future Opportunities. 2018: 439-470, doi: 10.1002/9783527806539.ch8.
- Contact Information
- Darshan Mehta