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A Computational-Based Approach to Identify Estrogen Receptor α/β Heterodimer Selective Ligands

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Year: 2018
Type: article
Source: Molecular Pharmacology
DOI: 10.1124/mol.117.108696
Authors: Carlos G. Coriano, Fabao Liu, Chelsie K. Sievers, Muxuan Liang, Yidan Wang, Yoongho Lim, Menggang Yu, Wei Xu
Institutions: University of Wisconsin–Madison, Konkuk University, University of Wisconsin Carbone Cancer Center
Language: English

Topic: Estrogen and related hormone effects
Subfield: Genetics
Field: Biochemistry, Genetics and Molecular Biology
Domain: Life Sciences
SDG: Good health and well-being

Open Access status: bronze

Funders: University of Wisconsin-Madison, National Institutes of Health, National Cancer Institute, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Environmental Health Sciences
Awards: G3057603263, G3517362731, G3633860983, G42679306, G5813506420, G6797867951, G8699575605, G9000051582, G9000265189, G9000272971, Molecular & Environmental Toxicology Predoctoral Training Program
OpenAlex ID: W2781532010
FWCI: 0.832
Cites: 33
Cited by: 10
Related to: 10
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