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Comparing the performance and coverage of selected in silico (liver) metabolism tools relative to reported studies in the literature to inform analogue selection in read-across: A case study
Dataset for journal article "Comparing the performance and coverage of selected in silico (liver) metabolism tools relative to reported studies in the literature to inform analogue selection in read-across: A case study".
This dataset is associated with the following publication:
Boyce, M., B. Meyer, C. Grulke, L. Lizarraga, and G. Patlewicz. Comparing the performance and coverage of selected in silico (liver) metabolism tools relative to reported studies in the literature to inform analogue selection in read-across: A case study. Computational Toxicology. Elsevier B.V., Amsterdam, NETHERLANDS, 21: 100208, (2022).
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https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=61b8d8e7e4b0d5d4d1e35b76
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "020:00" ] |
| contactPoint |
{ "fn": "Grace Patlewicz", "hasEmail": "mailto:patlewicz.grace@epa.gov" } |
| description | Dataset for journal article "Comparing the performance and coverage of selected in silico (liver) metabolism tools relative to reported studies in the literature to inform analogue selection in read-across: A case study". This dataset is associated with the following publication: Boyce, M., B. Meyer, C. Grulke, L. Lizarraga, and G. Patlewicz. Comparing the performance and coverage of selected in silico (liver) metabolism tools relative to reported studies in the literature to inform analogue selection in read-across: A case study. Computational Toxicology. Elsevier B.V., Amsterdam, NETHERLANDS, 21: 100208, (2022). |
| distribution |
[ { "title": "https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=61b8d8e7e4b0d5d4d1e35b76", "accessURL": "https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=61b8d8e7e4b0d5d4d1e35b76" } ] |
| identifier | https://doi.org/10.23719/1524371 |
| keyword |
[ "Metabolism", "Read-across", "in silico", "new approach methodologies" ] |
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2021-12-15 |
| 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.2021.100208" ] |
| rights |
null
|
| title | Comparing the performance and coverage of selected in silico (liver) metabolism tools relative to reported studies in the literature to inform analogue selection in read-across: A case study |
