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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2017
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| 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 |