《计算机应用研究》|Application Research of Computers

基于药物和疾病特征关联的药物重定位混合推荐算法

Hybrid recommendation algorithm for drug repositioning based on association of drug and disease characteristics

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作者 刘杰,金柳颀,景波
机构 合肥工业大学 a.工业与装备技术研究院;b.国家“111计划”老人福祉信息科技创新引智基地,合肥 230000
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文章编号 1001-3695(2020)03-007-0672-04
DOI 10.19734/j.issn.1001-3695.2018.09.0634
摘要 针对基于协同过滤的药物重定位算法进行了研究,考虑到数据稀疏性对协同过滤算法的巨大影响,提出一种基于药物和疾病特征关联的药物重定位混合推荐算法。该算法不仅使用了药物和疾病关系数据,还利用了药物结构、靶蛋白、副作用以及药物—疾病特征矩阵等信息计算药物之间的相似性,降低了数据稀疏性对推荐效果的影响,提高了推荐精度。经过对比实验发现,该算法具备较好的推荐效果,并能够发掘具有潜在联系的药物—疾病组合,进一步验证了该算法可以有效地应用于药物重定位。
关键词 药物重定位; 数据稀疏性; 疾病特征; 混合推荐; 相似度
基金项目 安徽省2017年度重点研究与开发计划项目(1704e1002221)
国家高等学校学科创新引智“111”计划资助项目(B14025)
本文URL http://www.arocmag.com/article/01-2020-03-007.html
英文标题 Hybrid recommendation algorithm for drug repositioning based on association of drug and disease characteristics
作者英文名 Liu Jie, Jin Liuqi, Jing Bo
机构英文名 a.Institute of Industry & Equipment Technology,b.National “111 Plan” Gerontechnology Innovate Base,Hefei University of Technology,Hefei 230000,China
英文摘要 This paper studied the algorithm of drug repositioning based on collaborative filtering. Considering the great influence of data sparsity on collaborative filtering algorithm, it proposed a hybrid recommendation algorithm based on the association of drug and disease characteristics. The algorithm not only used the data of drug and disease, but also used the information of drug structure, target protein, side effect and drug-disease feature matrix to calculate the similarity between drugs, which reduced the influence of data sparsity to the recommendation effect and improved the precision of recommendation. The results of contrastive experiment show that the algorithm has a good recommendation effect, and can explore the drug-disease combinations which have potential relationship, and further verified that the algorithm can be effectively applied to drug repositioning.
英文关键词 drug repositioning; data sparsity; disease characteristics; hybrid recommendation; similarity
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收稿日期 2018/9/3
修回日期 2018/10/16
页码 672-675
中图分类号 TP301.6
文献标志码 A