Selecting a Minimal set of Androgen Receptor Assays for Screening Chemicals

Screening certain environmental chemicals for their ability to interact with endocrine targets, including the androgen receptor (AR), is an important global concern. We previously developed a model using a battery of eleven in vitro AR assays to predict in vivo AR activity. Here we describe a revised mathematical modelling approach that also incorporates data from newly available assays and demonstrate that subsets of assays can provide close to the same level of predictivity. These subset models are evaluated against the full model using 1820 chemicals, as well as in vitro and in vivo reference chemicals from the literature.

This dataset is associated with the following publication: Judson, R., K. Houck, K. Friedman, J. Brown, P. Browne, P. Johnston, D. Close, K. Mansouri, and N. Kleinstreuer. Selecting a Minimal set of Androgen Receptor Assays for Screening Chemicals. REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 117(November 2020): 104764, (2020).

Data and Resources

Field Value
accessLevel public
bureauCode {020:00}
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
identifier https://doi.org/10.23719/1504530
license https://pasteur.epa.gov/license/sciencehub-license.html
modified 2019-11-18
programCode {020:095}
publisher U.S. EPA Office of Research and Development (ORD)
publisher_hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
references {https://doi.org/10.1016/j.yrtph.2020.104764}
resource-type Dataset
source_datajson_identifier true
source_hash cd57259dc5daa55e22d7e7e39e86de333cb25951
source_schema_version 1.1
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • alternative-testing-methods
  • amerigeo
  • amerigeoss
  • androgen-receptor
  • ckan
  • endocrine-disruption
  • geo
  • geoss
  • high-throughput-screening
  • high-throughput-toxicology
  • in-vitro
  • national
  • north-america
  • toxcast
  • united-states
isopen False
license_id other-license-specified
license_title other-license-specified
maintainer Keith Houck
maintainer_email houck.keith@epa.gov
metadata_created 2025-11-21T09:09:23.528502
metadata_modified 2025-11-21T09:09:23.528506
notes Screening certain environmental chemicals for their ability to interact with endocrine targets, including the androgen receptor (AR), is an important global concern. We previously developed a model using a battery of eleven in vitro AR assays to predict in vivo AR activity. Here we describe a revised mathematical modelling approach that also incorporates data from newly available assays and demonstrate that subsets of assays can provide close to the same level of predictivity. These subset models are evaluated against the full model using 1820 chemicals, as well as in vitro and in vivo reference chemicals from the literature. This dataset is associated with the following publication: Judson, R., K. Houck, K. Friedman, J. Brown, P. Browne, P. Johnston, D. Close, K. Mansouri, and N. Kleinstreuer. Selecting a Minimal set of Androgen Receptor Assays for Screening Chemicals. REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 117(November 2020): 104764, (2020).
num_resources 1
num_tags 15
title Selecting a Minimal set of Androgen Receptor Assays for Screening Chemicals