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Virtual screening of chemicals for endocrine disrupting activity through CERAPP and CoMPARA projects
Citation:
Mansouri, K., N. Kleinstreuer, Chris Grulke, A. Richard, I. Shah, A. Williams, AND R. Judson. Virtual screening of chemicals for endocrine disrupting activity through CERAPP and CoMPARA projects. Presented at Society of Toxicology, San Antonio, TX, March 11 - 15, 2018. https://doi.org/10.23645/epacomptox.6837800
Impact/Purpose:
Abstract for presentation at the SOT annual meeting. The need to protect humans and wildlife from endrocrine disrupting chemicals (EDCs) causing adverse health effects is being partially addressed by the use of high-throughput screening (HTS) in vitro approaches and computational modeling.
Description:
Endocrine disrupting chemicals (EDCs) are xenobiotics that mimic the interaction of natural hormones at the receptor level and alter synthesis, transport and metabolism pathways. The prospect of EDCs causing adverse health effects in humans and wildlife has led to the development of scientific and regulatory approaches for detecting potential EDC activity. This need is being partially addressed by the use of high-throughput screening (HTS) in vitro approaches and computational modeling. In the framework of the Endocrine Disruptor Screening Program (EDSP), the U.S. EPA led two worldwide consortiums to “virtually” (i.e., in silico) screen chemicals for their potential estrogenic and androgenic activities. The Collaborative Estrogen Receptor (ER) Activity Prediction Project (CERAPP) predicted activities for 32,464 chemicals and the Collaborative Modeling Project for Androgen Receptor (AR) Activity (CoMPARA) generated predictions on the CERAPP list with additional simulated metabolites, totaling 55,450 unique structures. Modelers and computational toxicology scientists from 35 international groups contributed structure-based models and results to one or both projects, with methods ranging from QSARs to docking to predict binding, agonism and antagonism activities. Models were based on a common training set of 1746 chemicals having ToxCast/Tox21 HTS in vitro assay results (18 assays for ER and 11 for AR) integrated into computational networks to detect true activity. The models were then validated using curated literature data from different sources (~7,000 results for ER and ~11,000 results for AR). To overcome the limitations of single approaches, CERAPP and CoMPARA models were each combined into consensus models reaching 92% predictive accuracy. These consensus models were extended beyond the initially designed datasets by implementing them into the free and open-source application OPERA, to avoid running every single model on new chemicals. This implementation was used to screen the entire EPA DSSTox database of ~750,000 chemicals and predicted ER and AR activity is made freely available on the CompTox Chemistry dashboard (https://comptox.epa.gov/dashboard). This work does not reflect the U.S. EPA or NIEHS policy.
URLs/Downloads:
DOI: Virtual screening of chemicals for endocrine disrupting activity through CERAPP and CoMPARA projects
ER-ARSOT2018KM-180325213636_POSTER_M.PDF (PDF, NA pp, 837.202 KB, about PDF)