Assessment of prediction confidence and domain extrapolation of two structure-activity relationship models for predicting estrogen receptor binding activity

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Assessment of prediction confidence and domain extrapolation of two structure-activity relationship models for predicting estrogen receptor binding activity is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1289/EHP.7125
P3181OpenCitations bibliographic resource ID3272741
P932PMC publication ID1277118
P698PubMed publication ID15345371

P50authorHuixiao HongQ90226882
Weida TongQ96475222
Leming ShiQ103992037
P2093author name stringHong Fang
Qian Xie
Roger Perkins
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Health-effects related structure-toxicity relationships: a paradigm for the first decade of the new millenniumQ33920349
Quantitative structure-activity relationships (QSARs) for estrogen binding to the estrogen receptor: predictions across speciesQ34640932
Structure-activity relationship approaches and applicationsQ35201806
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Comparative QSAR in toxicology: examples from teratology and cancer chemotherapy of aniline mustardsQ40515643
Decision forest: combining the predictions of multiple independent decision tree modelsQ40598607
Predicting modes of toxic action from chemical structure: an overviewQ41047561
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Quantitative structure-based modeling applied to characterization and prediction of chemical toxicityQ41756787
An integrated "4-phase" approach for setting endocrine disruption screening priorities--phase I and II predictions of estrogen receptor binding affinityQ44034844
Study of 202 Natural, Synthetic, and Environmental Chemicals for Binding to the Androgen ReceptorQ44622741
Three-dimensional quantitative structure-activity relationship study of nonsteroidal estrogen receptor ligands using the comparative molecular field analysis/cross-validated r2-guided region selection approachQ47956201
Use of knowledge bases and QSARs to estimate the relative ecological risk of agrichemicals: a problem formulation exercise.Q51211080
Novel variable selection quantitative structure--property relationship approach based on the k-nearest-neighbor principleQ52082245
Comparison of estrogen receptor alpha and beta subtypes based on comparative molecular field analysis (CoMFA).Q52204487
Ligand-based identification of environmental estrogens.Q52522863
Evaluation of quantitative structure-activity relationship methods for large-scale prediction of chemicals binding to the estrogen receptor.Q52531675
The estrogen receptor relative binding affinities of 188 natural and xenochemicals: structural diversity of ligands.Q52577792
QSAR models for binding of estrogenic compounds to estrogen receptor alpha and beta subtypesQ73635464
Phytoestrogens and mycoestrogens bind to the rat uterine estrogen receptorQ77852046
P433issue12
P407language of work or nameEnglishQ1860
P921main subjectestrogenQ277954
P1104number of pages6
P304page(s)1249-1254
P577publication date2004-08-01
P1433published inEnvironmental Health PerspectivesQ1345904
P1476titleAssessment of prediction confidence and domain extrapolation of two structure-activity relationship models for predicting estrogen receptor binding activity
P478volume112

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