Prediction of selective estrogen receptor beta agonist using open data and machine learning approach

BACKGROUND: Estrogen receptors (ERs) are nuclear transcription factors that are involved in the regulation of many complex physiological processes in humans. ERs have been validated as important drug targets for the treatment of various diseases, including breast cancer, ovarian cancer, osteoporosis...

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Detalles Bibliográficos
Autores principales: Niu, Ai-qin, Xie, Liang-jun, Wang, Hui, Zhu, Bing, Wang, Sheng-qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2016
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4958355/
https://www.ncbi.nlm.nih.gov/pubmed/27486309
http://dx.doi.org/10.2147/DDDT.S110603

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4958355/
https://www.ncbi.nlm.nih.gov/pubmed/27486309
http://dx.doi.org/10.2147/DDDT.S110603

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