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Collaborative Estrogen Receptor Activity Prediction Project (CERAPP) Data: Prediction Set

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DataCite Commons2020-08-30 更新2025-04-16 收录
下载链接:
https://epa.figshare.com/articles/Collaborative_Estrogen_Receptor_Activity_Prediction_Project_CERAPP_Data_Prediction_Set/6062560/1
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资源简介:
Data and supplemental files from CERAPP (A large-scale modeling project). CERAPP combined multiple models developed in collaboration with 17 groups in the United States and Europe to predict estrogen receptor activity of a common set of 32464 chemical structures. Quantitative structure-activity relationship models and docking approaches were employed to build a total of 40 categorical and 8 continuous models for binding; agonist; and antagonist ER activity. This link provides the CERAPP Prediction Set.

本数据集包含CERAPP(一项大型建模项目)的相关数据与补充文件。CERAPP整合了美国与欧洲共17个研究团队合作开发的多款模型,用于预测32464种共有化学结构的雌激素受体(Estrogen Receptor, ER)活性。本研究采用定量构效关系(Quantitative Structure-Activity Relationship, QSAR)模型与分子对接方法,共构建了40个分类模型及8个连续模型,用以评估ER的结合活性、激动剂活性与拮抗剂活性。本链接提供CERAPP预测集。
提供机构:
The United States Environmental Protection Agency’s Center for Computational Toxicology and Exposure
创建时间:
2018-03-29
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