(Q51961991)

19 April 2018

title

QSAR study of natural, synthetic and environmental endocrine disrupting compounds for binding to the androgen receptor. (English)

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19 April 2018

author name string

C Y Zhao

1

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19 April 2018

R S Zhang

2

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19 April 2018

H X Zhang

3

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19 April 2018

C X Xue

4

1 reference

19 April 2018

H X Liu

5

1 reference

19 April 2018

M C Liu

6

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19 April 2018

Z D Hu

7

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19 April 2018

B T Fan

8

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19 April 2018

publication date

1 August 2005

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19 April 2018

SAR and QSAR in Environmental Research

published in

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19 April 2018

volume

16

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19 April 2018

issue

4

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19 April 2018

page(s)

349-367

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19 April 2018

Androgen receptor antagonist versus agonist activities of the fungicide vinclozolin relative to hydroxyflutamide

cites work

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https://api.crossref.org/works/10.1080%2F10659360500204368

Use of 13C NMR spectrometric data to produce a predictive model of estrogen receptor binding activity

21 January 2018

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https://api.crossref.org/works/10.1080%2F10659360500204368

Developmental Effects of Endocrine-Disrupting Chemicals in Wildlife and Humans

21 January 2018

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https://api.crossref.org/works/10.1080%2F10659360500204368

Evidence for decreasing quality of semen during past 50 years

21 January 2018

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https://api.crossref.org/works/10.1080%2F10659360500204368

Study of 202 Natural, Synthetic, and Environmental Chemicals for Binding to the Androgen Receptor

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F10659360500204368

Comparative molecular field analysis (CoMFA) model using a large diverse set of natural, synthetic and environmental chemicals for binding to the androgen receptor

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F10659360500204368

Ligand-based identification of environmental estrogens.

21 January 2018

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https://api.crossref.org/works/10.1080%2F10659360500204368

Induction of the estrogen specific mitogenic response of MCF-7 cells by selected analogues of estradiol-17 beta: a 3D QSAR study

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F10659360500204368

A comparison of progestin and androgen receptor binding using the CoMFA technique

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F10659360500204368

Drug design by machine learning: support vector machines for pharmaceutical data analysis

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F10659360500204368

Prediction of protein structural classes by support vector machines.

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F10659360500204368

Identifying genes related to drug anticancer mechanisms using support vector machine

21 January 2018

1 reference

https://api.crossref.org/works/10.1080%2F10659360500204368

QSPR analysis of flash points.

21 January 2018

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https://api.crossref.org/works/10.1080%2F10659360500204368

A Tutorial on Support Vector Machines for Pattern Recognition

21 January 2018

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https://api.crossref.org/works/10.1080%2F10659360500204368

10.1080/10659360500204368

21 January 2018

Identifiers

DOI

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19 April 2018

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19 April 2018