ToxCast bioactivity data and model predictions for the ER and AR pathways for p,p'-DDD and analogues
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3 resources available
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0196963&type=printable
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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4635633/pdf/kfv168.pdf
FILE -
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5396026/pdf/tx6b00347.pdf
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| 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. This dataset is associated with the following publication: Lizarraga, 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’-Dichlorodiphenyldichloroethane. REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 103: 301-313, (2019). |
| distribution |
[ { "title": "https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0196963&type=printable", "accessURL": "https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0196963&type=printable" }, { "title": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4635633/pdf/kfv168.pdf", "accessURL": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4635633/pdf/kfv168.pdf" }, { "title": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5396026/pdf/tx6b00347.pdf", "accessURL": "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 |