Development of estrogen receptor beta binding prediction model using large sets of chemicals

We developed an ER(β) binding prediction model to facilitate identification of chemicals specifically bind ER(β) or ER(α) together with our previously developed ER(α) binding model. Decision Forest was used to train ER(β) binding prediction model based on a large set of compounds obtained from EADB....

Descripción completa

Detalles Bibliográficos
Autores principales: Sakkiah, Sugunadevi, Selvaraj, Chandrabose, Gong, Ping, Zhang, Chaoyang, Tong, Weida, Hong, Huixiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5696238/
https://www.ncbi.nlm.nih.gov/pubmed/29190972
http://dx.doi.org/10.18632/oncotarget.21723

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5696238/
https://www.ncbi.nlm.nih.gov/pubmed/29190972
http://dx.doi.org/10.18632/oncotarget.21723

Ejemplares similares