基于组合药物网络的疾病关联性分析  

Diseases association analysis based on drug combination network

作　　者：赵媛媛[1] 王耘[1] ZHAO Yuanyuan WANG Yun(Chinese Pharmacy College, Beijing University of Chinese Medicine, Beijing 100102, China)

机构地区：[1]北京中医药大学中药学院,北京100102

出　　处：《生物信息学》2017年第1期46-54,共9页Chinese Journal of Bioinformatics

基　　金：国家自然科学基金项目(No.81373985)

摘　　要：组合药物在复杂疾病的治疗中形成了多靶点,多环节上的密切联系,对疾病的治疗效果也可达到单种药物治疗意想不到的效果。组合药物中各单药功能各异但联用后治疗效果更佳,说明所对应疾病之间可能存在某种关系。通过研究疾病间关联关系,可能会发现治疗某种疾病的新靶标,从而在新药的研发中取得新的进展。本文以DCDB(组合药物数据库)中的药物组合为数据源构建组合药物网络,并通过网络聚类算法得到了33个独立且内部联系紧密的药物模块。其中7组药物模块所包含的组合药物用于治疗两种或两种以上疾病,说明这些疾病之间存在一定的关联关系。对这些关系进行论证,结果表明,组合药物网络是发现疾病关联关系的一种有效手段。Drug combination forms the close link with multi targets and multi rings in the treatment of complex diseases, the treatment effect is better than that of the single medicine. Each single drug in drug combination with different functions is more effective after combined, suggesting there may be some kind of relationships between the corresponding diseases. By studying the association of diseases, it＇ s possible to find a new target for the treatment of certain diseases, so as to make new progress in the development of new drugs. This paper is based on the network of drug combination constructed with data source from DCDB （combination drug database） and gets 33 drug modules through the network clustering algorithm. There are 7 groups of drug modules among them are used to treat two or more diseases, suggesting a certain correlation between these diseases. Demonstrate these relationships, the result shows that the construction of drug combination network is an effective method to find association relationships between diseases.

关 键 词：组合药物 聚类分析 药物模块 疾病关联关系 

分 类 号：Q31[生物学—遗传学]