文章基本信息
- 标题：Discovering highly selective and diverse PPAR-delta agonists by ligand based machine learning and structural modeling
- 本地全文：下载
- 作者：Benny Da’adoosh ; David Marcus ; Anwar Rayan 等
- 期刊名称：Scientific Reports
- 电子版ISSN：2045-2322
- 出版年度：2019
- 卷号：9
- 期号：1
- 页码：1-12
- DOI：10.1038/s41598-019-38508-8
- 出版社：Springer Nature
- 摘要：below 10 µM. Most of the nanomolar agonists were found to be highly selective for PPAR-δ and are structurally different than agonists used for model building.
