{"accessLevel": "public", "bureauCode": ["020:00"], "contactPoint": {"fn": "Lucina Lizarraga", "hasEmail": "mailto:lizarraga.lucina@epa.gov"}, "description": "ToxCast bioactivity data and model predictions for the estrogen receptor (ER) and androgen receptor (AR) pathways were obtained from the inks provided. \n\nThis dataset is associated with the following publication:\nLizarraga, L., J. Dean, J. Kaiser, S. Wesselkamper, J. Lambert, and J. Zhao. A Case Study on the Application of An Expert-driven Read-Across Approach in Support of Quantitative Risk Assessment of p,p\u2019-Dichlorodiphenyldichloroethane.   REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 103: 301-313, (2019).", "distribution": [{"accessURL": "https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0196963&type=printable", "title": "https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0196963&type=printable"}, {"accessURL": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4635633/pdf/kfv168.pdf", "title": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4635633/pdf/kfv168.pdf"}, {"accessURL": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5396026/pdf/tx6b00347.pdf", "title": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5396026/pdf/tx6b00347.pdf"}], "identifier": "https://doi.org/10.23719/1502622", "keyword": ["Read-across", "in vitro high-throughput screening", "quantitative risk assessment", "toxicokinetics"], "license": "https://pasteur.epa.gov/license/sciencehub-license.html", "modified": "2018-09-05", "programCode": ["020:062"], "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/10.1016/j.yrtph.2019.02.010"], "rights": null, "title": "ToxCast bioactivity data and model predictions for the ER and AR pathways for p,p'-DDD and analogues "}