A predictive data-driven framework for endocrine prioritization: a triazole fungicide case study-Reference-Cited by-同舟云学术

A predictive data-driven framework for endocrine prioritization: a triazole fungicide case study

Published:2016-06-27 Issue:9 Volume:46 Page:785-833
ISSN:1040-8444
Container-title:Critical Reviews in Toxicology
language:en
Short-container-title:Critical Reviews in Toxicology

Author:

Paul Friedman Katie¹,Papineni Sabitha²,Marty M. Sue³,Yi Kun Don⁴,Goetz Amber K.⁴,Rasoulpour Reza J.²,Kwiatkowski Pat¹,Wolf Douglas C.⁴,Blacker Ann M.¹,Peffer Richard C.⁴

Affiliation:

1. Human Safety, Bayer CropScience LP, Research Triangle Park, NC, USA;

2. Human Health Assessment, Dow AgroSciences LLC, Indianapolis, IN, USA;

3. Toxicology & Environmental Research and Consulting, The Dow Chemical Company, Midland, MI, USA;

4. Toxicology and Health Sciences, Syngenta Crop Protection LLC, Greensboro, NC, USA

Publisher

Informa UK Limited

Subject

Toxicology

Link

https://tandfonline.com/doi/pdf/10.1080/10408444.2016.1193722

Reference131 articles.

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3. Development of an immuno-immobilized androgen receptor assay (IRA) and its application for the characterization of the receptor binding affinity of different pesticides

4. Dopamine as a Prolactin (PRL) Inhibitor

5. Bomhard E, Schilde B. 1991. MEB 6447: Chronic toxicity and cancerogenicity studies on Wistar rats with administration in diet over a period of 105 weeks: lab project number: 20774: 101922. Unpublished study prepared by Bayer AG, Dept of Toxicology. MRID 42153901:1029 p.

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