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Metadata Files for Structure-based QSAR models to predict repeat dose toxicity points of departure
This paper describes a model to take chemical structures and predict a property (the point of departure) for a new chemical. No new data were generated. The contents of this zip file contains metadata that you could use to make a model prediction. It does contain all of the code and a help file describing how to run the model.
This dataset is associated with the following publication:
Pradeep, P., K. Paul-Friedman, and R. Judson. Structure-based QSAR Models to Predict Repeat Dose Toxicity Points of Departure. Computational Toxicology. Elsevier B.V., Amsterdam, NETHERLANDS, 16(November 2020): 100139, (2020).
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Richard Judson",
"hasEmail": "mailto:judson.richard@epa.gov"
}
|
| description | This paper describes a model to take chemical structures and predict a property (the point of departure) for a new chemical. No new data were generated. The contents of this zip file contains metadata that you could use to make a model prediction. It does contain all of the code and a help file describing how to run the model. This dataset is associated with the following publication: Pradeep, P., K. Paul-Friedman, and R. Judson. Structure-based QSAR Models to Predict Repeat Dose Toxicity Points of Departure. Computational Toxicology. Elsevier B.V., Amsterdam, NETHERLANDS, 16(November 2020): 100139, (2020). |
| distribution |
[
{
"title": "Pradeep et al QSAR Models Supp Data Files.zip",
"mediaType": "application/x-zip-compressed",
"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520778/Pradeep%20et%20al%20QSAR%20Models%20Supp%20Data%20Files.zip"
}
]
|
| identifier | https://doi.org/10.23719/1520778 |
| keyword |
[
"point of departure",
"qsar",
"repeat dose toxicity",
"systemic toxicity"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html |
| modified | 2020-09-24 |
| programCode |
[
"020:000"
]
|
| 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.comtox.2020.100139"
]
|
| rights |
null
|
| title | Metadata Files for Structure-based QSAR models to predict repeat dose toxicity points of departure |
