Evaluating structure-based activity in a high-throughput assay for steroid biosynthesis

Description

Dataset from Foster, M.J., et al., Evaluating structure-based activity in a high-throughput assay for steroid biosynthesis, Computational Toxicology, Vol 24, No. 100245, Nov 2022, DOI https://doi.org/10.1016/j.comtox.2022.100245

The work described herein was conducted in R software (version 4.0.2) and is available at GitHub (https://github.com/USEPA/CompTox-HTH295R-SAR) and the US EPA Clowder repository as well as in Supplemental File 1 as an html file including code and resultant output.

This dataset is associated with the following publication:
Foster, M., G. Patlewicz, I. Shah, D. Haggard, R. Judson, and K. Friedman. Evaluating structure-based activity in a high-throughput assay for steroid biosynthesis. Computational Toxicology. Elsevier B.V., Amsterdam, NETHERLANDS, 24: 100245, (2022).

Resources

Name Format Description Link
https://ccte-bitbucket.epa.gov/users/kpaulfri/repos/hth295r_sar/browse Unknown Open resource
https://clowder.edap-cluster.com/datasets/62680e42e4b0e232136663ff Unknown Open resource
https://github.com/USEPA/CompTox-HTH295R-SAR Unknown Open resource

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