{"accessLevel": "public", "bureauCode": ["020:00"], "contactPoint": {"fn": "Rory Conolly", "hasEmail": "mailto:conolly.rory@epa.gov"}, "description": "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 computational modeling, not acquisition of laboratory data. It can be accessed through the following means: The mansucript is published in Environmental Science and Technology. Format: This ScienceHub entry is associated with the published manuscript:\r\n\r\nQuantitative Adverse Outcome Pathways and Their Application to\r\nPredictive Toxicology\r\nRory B. Conolly,*,\u2020 Gerald T. Ankley,\u2021 WanYun Cheng,\u2020 Michael L. Mayo,\u00a7 David H. Miller,\u2225\r\nEdward J. Perkins,\u00a7 Daniel L. Villeneuve,\u2021 and Karen H. Watanabe\u22a5\r\n\u2020U.S. Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research\r\nLaboratory, Integrated Systems Toxicology Division, Research Triangle Park, North Carolina 27709, United States\r\n\u2021U.S. Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research\r\nLaboratory, Mid-Continent Ecology Division, Duluth, Minnesota 55804, United States\r\n\u00a7Environmental Laboratory, U.S. Army Engineer Research and Development Center, Vicksburg, Mississippi 39180, United States\r\n\u2225U.S. Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research\r\nLaboratory, Mid-Continent Ecology Division, Grosse Isle, Michigan 48138, United States\r\n\u22a5School of Mathematical and Natural Sciences, Arizona State University, West Campus, Glendale, Arizona 85306, United States\r\n\r\nDOI: 10.1021/acs.est.6b06230\r\nEnviron. Sci. Technol. 2017, 51, 4661\u22124672. \n\nThis dataset is associated with the following publication:\nConolly, R., G. Ankley, W. Cheng, M. Mayo, D. Miller, E. Perkins, D. Villeneuve, and K. Watanabe. Quantitative Adverse Outcome Pathways and Their Application to Predictive Toxicology.   ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 51(8): 4661-4672, (2017).", "distribution": [], "identifier": "https://doi.org/10.23719/1378322", "keyword": ["AOP", "Risk", "adverse outcome pathway", "computational model", "hazard", "qAOP", "quantitative AOP"], "license": "https://pasteur.epa.gov/license/sciencehub-license.html", "modified": "2017-03-29", "programCode": ["020:095"], "publisher": {"name": "U.S. EPA Office of Research and Development (ORD)", "subOrganizationOf": {"name": "U.S. Environmental Protection Agency", "subOrganizationOf": {"name": "U.S. Government"}}}, "references": ["https://doi.org/10.1021/acs.est.6b06230"], "rights": null, "title": "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\u20134672"}