University of Luxembourg.
Brief Bioinform. 2021 Jul 20;22(4). doi: 10.1093/bib/bbaa357.
Drug repositioning has received increased attention since the past decade as several blockbuster drugs have come out of repositioning. Computational approaches are significantly contributing to these efforts, of which, network-based methods play a key role. Various structural (topological) network measures have thereby contributed to uncovering unintuitive functional relationships and repositioning candidates in drug-disease and other networks. This review gives a broad overview of the topic, and offers perspectives on the application of topological measures for network analysis. It also discusses unexplored measures, and draws attention to a wider scope of application efforts, especially in drug repositioning.
药物重定位自过去十年以来受到了越来越多的关注,因为有几种重磅炸弹药物已经从重新定位中问世。计算方法在这些努力中做出了重大贡献,其中基于网络的方法起着关键作用。各种结构(拓扑)网络度量方法因此有助于揭示药物-疾病和其他网络中的非直观功能关系和重新定位候选物。本综述广泛概述了这一主题,并就拓扑度量在网络分析中的应用提供了一些观点。它还讨论了尚未探索的措施,并提请人们注意更广泛的应用努力范围,特别是在药物重新定位方面。