中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Current status of active learning for drug discovery

文献类型:期刊论文

作者Yu, Jie1,2; Li, Xutong1,2; Zheng, Mingyue1,2
刊名Artificial Intelligence in the Life Sciences
出版日期2021-12-03
卷号1页码:100023
关键词Drug discovery Active learning Uncertainty estimation
ISSN号2667-3185
DOI10.1016/j.ailsci.2021.100023
英文摘要Active learning has been widely used in drug discovery and design in recent years. In this viewpoint, we will briefly summarize applications of AL for drug discovery and propose two potential limitations of research in this field.
语种英语
源URL[http://119.78.100.183/handle/2S10ELR8/309254]  
专题新药研究国家重点实验室
通讯作者Zheng, Mingyue
作者单位1.University of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing 100049, China
2.Drug Discovery and Design Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, Shanghai 201203, China;
推荐引用方式
GB/T 7714
Yu, Jie,Li, Xutong,Zheng, Mingyue. Current status of active learning for drug discovery[J]. Artificial Intelligence in the Life Sciences,2021,1:100023.
APA Yu, Jie,Li, Xutong,&Zheng, Mingyue.(2021).Current status of active learning for drug discovery.Artificial Intelligence in the Life Sciences,1,100023.
MLA Yu, Jie,et al."Current status of active learning for drug discovery".Artificial Intelligence in the Life Sciences 1(2021):100023.

入库方式: OAI收割

来源:上海药物研究所

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