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
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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 |
DOI | 10.1016/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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