Abstract 127 — Poster Presentation: Session II-3 "Computational Modelling and Chem-Informatics" Development of a Curated Database of In Vivo Estrogenic Activity
Patricia C. Ceger, Nicole Kleinstreuer, Xiaoqing Chang, Bobette Jones, Jon T. Hamm, Lori A. Rinckel, Daniel Miller Rotroff, Judy A. Strickland, D. Allen · 2014
Man dated testing to identify potential estrogen-active chemicals will involve thousands of chemicals, cost millions of dollars, and take decades to complete using current validated methods. High throughput screening (HTS) assays may streamline this process by quickly and cost-effectively identifying estrogenactive chemicals. Access to a comprehensive database of high-quality in vivo data is critical to effectively validate in vitro and in silico models and HTS assays, as well as enable more targeted in vivo testing. We created a reference database by searching the scientific literature and identifying in vivo studies with endpoints indicating estrogenic activity. Data from the studies were extracted and compiled using a standardized ontology. An R script was developed to evaluate the quality of the data in an efficient and standardized manner by modified Klimisch criteria. Data that were classified as reliable were added to the database, which will be publically available on the NTP website (http://ntp.niehs.nih.gov/go/4 0658). This project wa s funded in whole or in part with Federal funds from the NIEHS, NIH under Contracts No. N01-ES-35504 and HHSN27320140003C.