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拓扑网络度量在药物重定位中的应用。

Topological network measures for drug repositioning.

机构信息

University of Luxembourg.

出版信息

Brief Bioinform. 2021 Jul 20;22(4). doi: 10.1093/bib/bbaa357.

Abstract

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.

摘要

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。

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