Computational Study of Estrogen Receptor-Alpha Antagonist with Three-Dimensional Quantitative Structure-Activity Relationship, Support Vector Regression, and Linear Regression Methods

Human estrogen receptor (ER) isoforms, ERα and ERβ, have long been an important focus in the field of biology. To better understand the structural features associated with the binding of ERα ligands to ERα and modulate their function, several QSAR models, including CoMFA, CoMSIA, SVR, and LR methods...

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Detalles Bibliográficos
Autores principales: Chang, Ying-Hsin, Chen, Jun-Yan, Hor, Chiou-Yi, Chuang, Yu-Chung, Yang, Chang-Biau, Yang, Chia-Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4245501/
https://www.ncbi.nlm.nih.gov/pubmed/25505989
http://dx.doi.org/10.1155/2013/743139

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4245501/
https://www.ncbi.nlm.nih.gov/pubmed/25505989
http://dx.doi.org/10.1155/2013/743139

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