Quantitative Prediction of Repeat Dose Toxicity Values using GenRA
Per Imran Shah, this was the Data used in and published as supplemental material for this manuscript.
Table S1. Aggregated point of departure (POD) data obtained from ToxRefDB v2.0.
Table S2. Chemical structure descriptor data from DSSTox.
Table S3. Chemical cluster membership.
Table S5. GenRA optimal predictions for each endpoint category and cluster.
Resources
4 resources available
-
genra-table-S1-pod.xlsx
APPLICATION/VND.OPENXMLFORMATS-OFFICEDOCUMENT.SPREADSHEETML.SHEET -
genra-table-S2-chm.xlsx
APPLICATION/VND.OPENXMLFORMATS-OFFICEDOCUMENT.SPREADSHEETML.SHEET -
genra-table-S3-clusters.xlsx
APPLICATION/VND.OPENXMLFORMATS-OFFICEDOCUMENT.SPREADSHEETML.SHEET -
genra-table-S5-cluster-perf.xlsx
APPLICATION/VND.OPENXMLFORMATS-OFFICEDOCUMENT.SPREADSHEETML.SHEET
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
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| contactPoint |
{
"fn": "Ann Richard",
"hasEmail": "mailto:richard.ann@epa.gov"
}
|
| description | Per Imran Shah, this was the Data used in and published as supplemental material for this manuscript. Table S1. Aggregated point of departure (POD) data obtained from ToxRefDB v2.0. Table S2. Chemical structure descriptor data from DSSTox. Table S3. Chemical cluster membership. Table S5. GenRA optimal predictions for each endpoint category and cluster. |
| distribution |
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|
| identifier | https://doi.org/10.23719/1503854 |
| keyword |
[
"DSSTox"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2019-05-10 |
| programCode |
[
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| publisher |
{
"name": "U.S. EPA Office of Research and Development (ORD)",
"subOrganizationOf": {
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"subOrganizationOf": {
"name": "U.S. Government"
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|
| references |
null
|
| rights |
null
|
| title | Quantitative Prediction of Repeat Dose Toxicity Values using GenRA |
