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EADB: an estrogenic activity database for assessing potential endocrine activity.
Shen, Jie; Xu, Lei; Fang, Hong; Richard, Ann M; Bray, Jeffrey D; Judson, Richard S; Zhou, Guangxu; Colatsky, Thomas J; Aungst, Jason L; Teng, Christina; Harris, Steve C; Ge, Weigong; Dai, Susie Y; Su, Zhenqiang; Jacobs, Abigail C; Harrouk, Wafa; Perkins, Roger; Tong, Weida; Hong, Huixiao.
Afiliación
  • Shen J; * Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, Arkansas 72079;
Toxicol Sci ; 135(2): 277-91, 2013 Oct.
Article en En | MEDLINE | ID: mdl-23897986
ABSTRACT
Endocrine-active chemicals can potentially have adverse effects on both humans and wildlife. They can interfere with the body's endocrine system through direct or indirect interactions with many protein targets. Estrogen receptors (ERs) are one of the major targets, and many endocrine disruptors are estrogenic and affect the normal estrogen signaling pathways. However, ERs can also serve as therapeutic targets for various medical conditions, such as menopausal symptoms, osteoporosis, and ER-positive breast cancer. Because of the decades-long interest in the safety and therapeutic utility of estrogenic chemicals, a large number of chemicals have been assayed for estrogenic activity, but these data exist in various sources and different formats that restrict the ability of regulatory and industry scientists to utilize them fully for assessing risk-benefit. To address this issue, we have developed an Estrogenic Activity Database (EADB; http//www.fda.gov/ScienceResearch/BioinformaticsTools/EstrogenicActivityDatabaseEADB/default.htm) and made it freely available to the public. EADB contains 18,114 estrogenic activity data points collected for 8212 chemicals tested in 1284 binding, reporter gene, cell proliferation, and in vivo assays in 11 different species. The chemicals cover a broad chemical structure space and the data span a wide range of activities. A set of tools allow users to access EADB and evaluate potential endocrine activity of chemicals. As a case study, a classification model was developed using EADB for predicting ER binding of chemicals.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Glándulas Endocrinas / Estrógenos / Disruptores Endocrinos / Bases de Datos de Compuestos Químicos Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Toxicol Sci Asunto de la revista: TOXICOLOGIA Año: 2013 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Glándulas Endocrinas / Estrógenos / Disruptores Endocrinos / Bases de Datos de Compuestos Químicos Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Toxicol Sci Asunto de la revista: TOXICOLOGIA Año: 2013 Tipo del documento: Article