重新调整用途
计算机科学
药物重新定位
集合(抽象数据类型)
人工智能
机器学习
备品备件
一般化
药品
数据挖掘
药理学
医学
数学分析
程序设计语言
营销
业务
生态学
生物
数学
作者
Xin Feng,Zhansen Ma,Cuinan Yu,Ruihao Xin
标识
DOI:10.1021/acs.jcim.3c01726
摘要
As is well-known, the process of developing new drugs is extremely expensive, whereas drug repurposing represents a promising approach to augment the efficiency of new drug development. While this method can indeed spare us from expensive drug toxicity and safety experiments, it still demands a substantial amount of time to carry out precise efficacy experiments for specific diseases, thereby consuming a significant quantity of resources. Therefore, if we can prescreen potential other indications for selected drugs, it could result in substantial cost savings. In light of this, this paper introduces a drug repurposing recommendation model called MRNDR, which stands for
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