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#1 Federal
Conolly, R.B., Ankley, G.T., Cheng, WY., Mayo, M.L., Miller, D.H., Perkins, E.J., Villeneuve, D.L., and Watanable, K.H. (2017). Quantitative adverse outcome pathways and their application ot predictive toxicology. Environ. Sci. Technol. 51, 4661–4672
- Organization: U.S. Environmental Protection Agency
- Dataset Last Updated: March 29, 2017
A publised mansucript describing a quantitative adverse outcome pathway (qAOP) and its relevance to risk assessment. This dataset is not publicly accessible because: This work describes...

Search relevance: 1.00 | Views last month: 0 | Catalog Last Checked: August 03, 2026 at 12:42 AM
#2 Federal
A Biologically Based Model to Quantitatively Assess the Role of the Nuclear Receptors liver X (LXR), and pregnane X (PXR) on Chemically Induced Hepatic Steatosis
- Organization: U.S. Environmental Protection Agency
- Dataset Last Updated: September 02, 2021
The data used in this manuscript came from published literature. This dataset is associated with the following publication: Bay, C., and H. El-Masri. A biologically based model to quantitatively...
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Search relevance: 1.00 | Views last month: 0 | Catalog Last Checked: August 03, 2026 at 12:47 AM

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