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ToxCast bioactivity data and model predictions for the ER and AR pathways for p,p'-DDD and analogues
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).
Complete Metadata
| 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 |
