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Volumn 58, Issue 2, 2000, Pages 253-269
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A computationally based identification algorithm for estrogen receptor ligands: Part 1. Predicting hERα binding affini ty
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Author keywords
Estrogen receptor ligands; Expert systems; Human estrogen relative binding affinity; Structure activity relationships
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Indexed keywords
1,1,1 TRICHLORO 2 (2 CHLOROPHENYL) 2 (4 CHLOROPHENYL)ETHANE;
4 HYDROXYTAMOXIFEN;
4,4' ISOPROPYLIDENEDIPHENOL;
CHLORDECONE;
CHLORPHENOTANE;
CLOMIFENE;
CORTICOSTERONE;
COUMESTROL;
DIENESTROL;
DIETHYLSTILBESTROL;
ESTRADIOL;
ESTROGEN RECEPTOR ALPHA;
ESTRONE;
ESTRONE SULFATE;
GENISTEIN;
HEXESTROL;
LIGAND;
METHOXYCHLOR;
MOXESTROL;
NAFOXIDINE;
PROGESTERONE;
TAMOXIFEN;
ALGORITHM;
ARTICLE;
CHEMICAL STRUCTURE;
CONTROLLED STUDY;
LIGAND BINDING;
MATHEMATICAL COMPUTING;
PREDICTION;
RECEPTOR AFFINITY;
STRUCTURE ACTIVITY RELATION;
ALGORITHMS;
ANIMALS;
BREAST NEOPLASMS;
DECISION TREES;
ESTROGEN RECEPTOR ALPHA;
FEMALE;
HUMANS;
LIGANDS;
MATHEMATICS;
MICE;
MODELS, BIOLOGICAL;
PROTEIN CONFORMATION;
QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;
RATS;
RECEPTORS, ESTROGEN;
TUMOR CELLS, CULTURED;
UTERUS;
GOES;
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EID: 0034525472
PISSN: 10966080
EISSN: None
Source Type: Journal
DOI: 10.1093/toxsci/58.2.253 Document Type: Article |
Times cited : (54)
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References (33)
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