Prediction of estrogen receptor binding for 58,000 chemicals using an integrated system of a tree-based model with structural alerts

Environmental Health Perspectives

Volumn 110, Issue 1, 2002, Pages 29-36

  Hong, Huixiao ^a   Tong, Weida ^a,e   Fang, Hong ^a   Shi, Leming ^b   Xie, Qian ^a   Wu, Jie ^a   Perkins, Roger ^a   Walker, John D ^c   Branham, William ^d   Sheehan, Daniel M ^d  

^a ROW Sciences Inc   (United States)

^b BASF CORPORATION   (United States)

^c U S ENVIRONMENTAL PROTECTION AGENCY   (United States)

^d National Center for Toxicological Research   (United States)

^e Logicon ROW Sciences   (United States)

Author keywords

Endocrine disrupting chemicals; Estrogen receptor binding; Relative binding affinities; Risk Assessment; Structural alerts; Tree based models

Indexed keywords

ENVIRONMENTAL CHEMICAL; ESTRADIOL; ESTROGEN RECEPTOR; LIGAND;

ARTICLE; ASSAY; BINDING AFFINITY; BINDING KINETICS; CHEMICAL ANALYSIS; CHEMICAL STRUCTURE; CLINICAL CHEMISTRY; CONTROLLED STUDY; ENDOCRINE DISEASE; FILTER; IN VITRO STUDY; IN VIVO STUDY; INFORMATION SYSTEM; MATHEMATICAL COMPUTING; MODEL; PREDICTION; PRIORITY JOURNAL; RECEPTOR BINDING; SCREENING TEST; STRUCTURE ACTIVITY RELATION; VALIDATION PROCESS;

ANIMALIA;

EID: 0036156262     PISSN: 00916765     EISSN: None     Source Type: Journal    
DOI: 10.1289/ehp.0211029     Document Type: Article

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