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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.

Toxicoinformatics Group

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, Nolte S, Hamm JT, Wang Z, Roberts GK, Schmitt CP, Ryan KR. 2023. Systematic Evaluation of the Application of Zebrafish in Toxicology (SEAZIT): Developing a Data Analysis Pipeline for the Assessment of Developmental Toxicity with an Interlaboratory Study. Toxics 11(5):407. [Abstract] [Full Text]
  2. Hsieh JH, Sedykh A, Mutlu E, Germolec DR, Auerbach SS, Rider CV. 2020. Harnessing In Silico, In Vitro, and In Vivo Data to Understand the Toxicity Landscape of Polycyclic Aromatic Compounds (PACs). Chem Res Toxicol 34(2):268-285. [Abstract] [Full Text]
  3. Hsieh JH, Smith-Roe SL, Huang R, Sedykh A, Shockley KR, Auerbach SS, Merrick BA, Xia M, Tice RR, Witt KL. 2019. Identifying Compounds with Genotoxicity Potential Using Tox21 High-Throughput Screening Assays. Chem Res Toxicol 32(7):1384-1401. [Abstract] [Full Text]
  4. Hsieh JH, Ryan K, Sedykh A, Lin JA, Shapiro AJ, Parham F, Behl M. 2019. Application of Benchmark Concentration (BMC) Analysis on Zebrafish Data: A New Perspective for Quantifying Toxicity in Alternative Animal Models. Toxicol Sci 167(1):92-104. [Abstract] [Full Text]
  5. HHsieh JH, Sedykh A, Huang R, Xia M, Tice RR. 2015. A Data Analysis Pipeline Accounting for Artifacts in Tox21 Quantitative High-Throughput Screening Assays. J Biomol Screen 20(7):887-97. [Abstract] [Full Text]

See more publications on PubMed.