Optimizing androgen receptor prioritization using high-throughput assay-based activity models.

ABSTRACT: Introduction: Computational models using data from high-throughput screening assays have promise for prioritizing and screening chemicals for testing under the U.S. Environmental Protection Agency's Endocrine Disruptor Screening Program (EDSP). The purpose of this work was to demonstrate a data processing method for the determination of optimal minimal assay batteries from a larger comprehensive model, to provide a uniform method of evaluating the performance of future minimal assay batteries compared with the androgen receptor (AR) pathway model, and to incorporate chemical cluster analysis into this evaluation. Although several of the assays in the AR pathway model are no longer available through the original vendor, this approach could be used for future evaluations of minimal as

SUBMITTER: Bever RJ 

PROVIDER: S-EPMC10961702 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature