Screening androgen receptor agonists of fish species using machine learning and molecular model in NORMAN water-relevant list-Reference-Cited by-同舟云学术

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Screening androgen receptor agonists of fish species using machine learning and molecular model in NORMAN water-relevant list

Published:2024-04 Issue: Volume:468 Page:133844
ISSN:0304-3894
Container-title:Journal of Hazardous Materials
language:en
Short-container-title:Journal of Hazardous Materials

Author:

Long Xiao-Bing,Yao Chong-Rui,Li Si-Ying,Zhang Jin-Ge,Lu Zhi-Jie,Ma Dong-Dong,Chen Chang-Er,Ying Guang-Guo,Shi Wen-Jun

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference86 articles.

1. Research needs for the risk assessment of health and environmental effects of endocrine disruptors: a report of the U.S. EPA-sponsored workshop;Kavlock;Environ Health Perspect,1996

2. Endocrine disruptor screening: regulatory perspectives and needs;Hecker;Environ Sci Eur,2011

3. Nuclear receptors are the major targets of endocrine disrupting chemicals;Toporova;Mol Cell Endocrinol,2020

4. Endocrine disruptive chemicals: mechanisms of action and involvement in metabolic disorders;Swedenborg;J Mol Endocrinol,2009

5. A critical review of the environmental occurrence and potential effects in aquatic vertebrates of the potent androgen receptor agonist 17β-trenbolone;Ankley;Environ Toxicol Chem,2018

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Interactions of Potential Endocrine-Disrupting Chemicals with Whole Human Proteome Predicted by AlphaFold2 Using an In Silico Approach;Environmental Science & Technology;2024-09-11

2. Predicting the new psychoactive substance activity of antitussives and evaluating their ecotoxicity to fish;Science of The Total Environment;2024-07

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