The impact of variable selection on the modelling of oestrogenicity.
about
In silico prediction of estrogen receptor subtype binding affinity and selectivity using statistical methods and molecular docking with 2-arylnaphthalenes and 2-arylquinolines.Discovery of estrogen receptor modulators: a review of virtual screening and SAR efforts.QSAR of phytochemicals for the design of better drugs.SAR and QSAR modeling of endocrine disruptors.Evolution of the international workshops on quantitative structure-activity relationships (QSARs) in environmental toxicology.In silico-aided prediction of biological properties of chemicals: oestrogen receptor-mediated effects.QSAR of cytochrome inhibitors.Effect of OATP-binding on the prediction of biliary excretion.Binary classification models for endocrine disrupter effects mediated through the estrogen receptor.Homology model of the rainbow trout estrogen receptor (rtERalpha) and docking of endocrine disrupting chemicals (EDCs).
P2860
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P2860
The impact of variable selection on the modelling of oestrogenicity.
description
2005 nî lūn-bûn
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2005年の論文
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2005年学术文章
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2005年学术文章
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2005年学术文章
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2005年学术文章
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2005年学术文章
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2005年學術文章
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name
The impact of variable selection on the modelling of oestrogenicity.
@en
The impact of variable selection on the modelling of oestrogenicity.
@nl
type
label
The impact of variable selection on the modelling of oestrogenicity.
@en
The impact of variable selection on the modelling of oestrogenicity.
@nl
prefLabel
The impact of variable selection on the modelling of oestrogenicity.
@en
The impact of variable selection on the modelling of oestrogenicity.
@nl
P2860
P1476
The impact of variable selection on the modelling of oestrogenicity.
@en
P2093
Ghafourian T
P2860
P304
P356
10.1080/10629360412331319808
P577
2005-02-01T00:00:00Z