ToxCast bioactivity data and model predictions for the ER and AR pathways for p,p'-DDD and analogues
Resources
3 resources available
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https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0196963&type=printable
FILE -
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
FILE
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 |