High-Performance Prediction of Human Estrogen Receptor Agonists Based on Chemical Structures

Many agonists for the estrogen receptor are known to disrupt endocrine functioning. We have developed a computational model that predicts agonists for the estrogen receptor ligand-binding domain in an assay system. Our model was entered into the Tox21 Data Challenge 2014, a computational toxicology...

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Detalles Bibliográficos
Autores principales: Asako, Yuki, Uesawa, Yoshihiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6154693/
https://www.ncbi.nlm.nih.gov/pubmed/28441746
http://dx.doi.org/10.3390/molecules22040675

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6154693/
https://www.ncbi.nlm.nih.gov/pubmed/28441746
http://dx.doi.org/10.3390/molecules22040675

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