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
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).
Resources
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https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=61b8d8e7e4b0d5d4d1e35b76 |
Tags
- metabolism
- new-approach-methodologies
- in-silico
- read-across