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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...

詳細記述

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書誌詳細
出版年:Molecules
主要な著者: Asako, Yuki, Uesawa, Yoshihiro
フォーマット: Artigo
言語:Inglês
出版事項: MDPI 2017
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6154693/
https://ncbi.nlm.nih.gov/pubmed/28441746
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/molecules22040675
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