{"title":"药物发现中主动学习的现状","authors":"Jie Yu , Xutong Li , Mingyue Zheng","doi":"10.1016/j.ailsci.2021.100023","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":72304,"journal":{"name":"Artificial intelligence in the life sciences","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667318521000234/pdfft?md5=4b66ffe5aa91d2b4ff6b1d0f8fc4a84c&pid=1-s2.0-S2667318521000234-main.pdf","citationCount":"7","resultStr":"{\"title\":\"Current status of active learning for drug discovery\",\"authors\":\"Jie Yu , Xutong Li , Mingyue Zheng\",\"doi\":\"10.1016/j.ailsci.2021.100023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":72304,\"journal\":{\"name\":\"Artificial intelligence in the life sciences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2667318521000234/pdfft?md5=4b66ffe5aa91d2b4ff6b1d0f8fc4a84c&pid=1-s2.0-S2667318521000234-main.pdf\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Artificial intelligence in the life sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2667318521000234\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Artificial intelligence in the life sciences","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667318521000234","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Current status of active learning for drug discovery
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.
Artificial intelligence in the life sciencesPharmacology, Biochemistry, Genetics and Molecular Biology (General), Computer Science Applications, Health Informatics, Drug Discovery, Veterinary Science and Veterinary Medicine (General)
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