NTP Logo

Much of the work carried out by DTT is in support of the National Toxicology Program (NTP), an interagency partnership of the Food and Drug Administration, National Institute for Occupational Safety and Health, and NIEHS.

Visit the NTP Website

Toxicoinformatics Group

Jui-Hua Hsieh, Ph.D.
Jui-Hua Hsieh, Ph.D.
Staff Scientist
Tel 984-287-3142
[email protected]
530 Davis Dr
530 Davis Drive (Keystone Bldg)
Durham, NC 27713

Jui-Hua Hsieh, Ph.D., is a Staff Scientist in the Predictive Toxicology Branch of the Division of Translational Toxicology (DTT). Her primary roles involve method development and applications on concentration-response data, web application development for data visualization, and model development for prioritizing and predicting potential human toxicants.

Prior to joining the DTT in 2011, she received her B.S. degree in Pharmacy from National Taiwan University and her Ph.D. degree in Pharmaceutical Sciences from University of North Carolina at Chapel Hill. Her Ph.D. work involves the development and application of cheminformatics tools for drug discovery projects, particularly hit identification in virtual screening.

Selected Publications

    1. Hsieh JH, Sedykh A, Mutlu E, Germolec DR, Auerbach SS, Rider CV. Harnessing in silico, in vitro, and in vivo data to understand the toxicity landscape of polycyclic aromatic compounds (PACs). Chem Res Toxicol. 2021 Feb 15;34(2):268-285. doi: 10.1021/acs.chemrestox.0c00213. Epub 2020 Oct 16. [Abstract Hsieh JH, Sedykh A, Mutlu E, Germolec DR, Auerbach SS, Rider CV. Harnessing in silico, in vitro, and in vivo data to understand the toxicity landscape of polycyclic aromatic compounds (PACs). Chem Res Toxicol. 2021 Feb 15;34(2):268-285. doi: 10.1021/acs.chemrestox.0c00213. Epub 2020 Oct 16.]
    2. Hsieh JH, Smith-Roe SL, Huang R, Sedykh A, Shockley KR, Auerbach SS, Merrick BA, Xia M, Tice RR, Witt KL. Identifying compounds with genotoxicity potential using Tox21 high-throughput screening assays. Chemical Research in Toxicology. 2019 32(7):1384-1401. [Abstract Hsieh JH, Smith-Roe SL, Huang R, Sedykh A, Shockley KR, Auerbach SS, Merrick BA, Xia M, Tice RR, Witt KL. Identifying compounds with genotoxicity potential using Tox21 high-throughput screening assays. Chemical Research in Toxicology. 2019 32(7):1384-1401.]
    3. Hubbard TD, Hsieh JH, Rider CV, Sipes NS, Sedykh A, Collins BJ, Auerbach SS, Xia M, Huang R, Walker NJ, DeVito MJ. Using Tox21 high-throughput screening assays for the evaluation of botanical and dietary supplements. Appl In Vitro Toxicol. 2019 Mar 1;5(1):10-25. doi: 10.1089/aivt.2018.0020. Epub 2019 Mar 9. [Abstract Hubbard TD, Hsieh JH, Rider CV, Sipes NS, Sedykh A, Collins BJ, Auerbach SS, Xia M, Huang R, Walker NJ, DeVito MJ. Using Tox21 high-throughput screening assays for the evaluation of botanical and dietary supplements. Appl In Vitro Toxicol. 2019 Mar 1;5(1):10-25. doi: 10.1089/aivt.2018.0020. Epub 2019 Mar 9.]
    4. Hsieh JH, Ryan K, Sedykh A, Lin JA, Shapiro AJ, Parham F, Behl M. Application of benchmark concentration (BMC) analysis on zebrafish data: A new perspective for quantifying toxicity in alternative animal models. Toxicol Sci. 2019 Jan 1;167(1):92-104. doi: 10.1093/toxsci/kfy258. [Abstract Hsieh JH, Ryan K, Sedykh A, Lin JA, Shapiro AJ, Parham F, Behl M. Application of benchmark concentration (BMC) analysis on zebrafish data: A new perspective for quantifying toxicity in alternative animal models. Toxicol Sci. 2019 Jan 1;167(1):92-104. doi: 10.1093/toxsci/kfy258.]
    5. Hsieh JH, Sedykh A, Huang R, Xia M, Tice RR. A data analysis pipeline accounting for artifacts in Tox21 quantitative high-throughput screening assays. J Biomol Screen. 2015 Aug;20(7):887-97. doi: 10.1177/1087057115581317. Epub 2015 Apr 2 [Abstract Hsieh JH, Sedykh A, Huang R, Xia M, Tice RR. A data analysis pipeline accounting for artifacts in Tox21 quantitative high-throughput screening assays. J Biomol Screen. 2015 Aug;20(7):887-97. doi: 10.1177/1087057115581317. Epub 2015 Apr 2]