Drug repositioning by integrating target information through a heterogeneous network model
Drug repositioning by integrating target information through a heterogeneous network model
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DOI：
10.1093/bioinformatics/btu403
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发表时间：
2014-10-15
期刊：
影响因子：
5.8
通讯作者：
Li, Jing
中科院分区：
文献类型：
--
作者：
Wang, Wenhui;Yang, Sen;Li, Jing
动机：网络医学的出现不仅为更好和更全面地了解疾病的分子复杂性提供了更多的机会，而且也是一种很有前途的工具，可以确定新的药物靶点，并在疾病之间建立新的关系，使药物能够重新定位。通过整合多源、多层次的信息进行药物再定位的计算方法，有可能在系统水平上深入了解药物、靶点、疾病基因和疾病之间的复杂关系。结果：本文提出了一种基于异质网络模型的计算框架，并利用已有的疾病、药物和药物靶点的组学数据将该方法应用于药物重新定位。该框架的新奇之处在于，疾病-药物对之间的强度是通过在也包含药物靶标信息的异质图上的迭代算法来计算的。综合实验结果表明，该方法的性能明显优于现有的几种方法。案例研究进一步说明了它的实用价值。
Motivation: The emergence of network medicine not only offers more opportunities for better and more complete understanding of the molecular complexities of diseases, but also serves as a promising tool for identifying new drug targets and establishing new relationships among diseases that enable drug repositioning. Computational approaches for drug repositioning by integrating information from multiple sources and multiple levels have the potential to provide great insights to the complex relationships among drugs, targets, disease genes and diseases at a system level.Results: In this article, we have proposed a computational framework based on a heterogeneous network model and applied the approach on drug repositioning by using existing omics data about diseases, drugs and drug targets. The novelty of the framework lies in the fact that the strength between a disease-drug pair is calculated through an iterative algorithm on the heterogeneous graph that also incorporates drug-target information. Comprehensive experimental results show that the proposed approach significantly outperforms several recent approaches. Case studies further illustrate its practical usefulness.