利用实体指标理解药物再利用。
Using Entity Metrics to Understand Drug Repurposing.
作者信息
Li Xin, Ding Ying, Lu Wei
机构信息
School of Information Management, Wuhan University, Wuhan, Hubei, China.
School of informatics and computing, Bloomington, Indiana, USA.
出版信息
AMIA Jt Summits Transl Sci Proc. 2020 May 30;2020:377-382. eCollection 2020.
Understanding the process of drug repurposing is critically significant for drug development. In this paper, we employ extracted bio-entities to detect the features of different phases in drug repurposing. We proposed a transparent and easy entitymetric indicator for bio-entities, i.e., Popularity Index, to quantify and visualize the dynamic changes in academic interests of bio-entities. By taking aspirin as an example, the results display specific profiles of drug repurposing and the evolution of bio-entities in the different phases of drug research, which would potentially be valuable for pharmaceutical companies and scholars to successfully discover and repurpose drugs.
了解药物重新利用的过程对药物开发至关重要。在本文中，我们利用提取的生物实体来检测药物重新利用不同阶段的特征。我们为生物实体提出了一个透明且易于理解的实体度量指标，即流行度指数，以量化和可视化生物实体学术兴趣的动态变化。以阿司匹林为例，结果展示了药物重新利用的具体概况以及药物研究不同阶段生物实体的演变，这可能对制药公司和学者成功发现和重新利用药物具有重要价值。
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