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Topological network measures for drug repositioning.

Apurva Badkas1, Sébastien De Landtsheer1, Thomas Sauter1

  • 1University of Luxembourg.

Briefings in Bioinformatics
|December 21, 2020
PubMed
Summary
This summary is machine-generated.

Drug repositioning is gaining traction, with computational network analysis, particularly topological measures, identifying new drug candidates. This review explores these methods and their potential in drug discovery.

Keywords:
computational methodsdrug repositioningnetworkstopological network measurestopology

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Area of Science:

  • Computational biology
  • Network science
  • Pharmacology

Background:

  • Drug repositioning has emerged as a successful strategy for identifying new therapeutic uses for existing drugs.
  • Computational methods, especially network-based approaches, are crucial for accelerating drug repositioning efforts.
  • Topological network measures reveal complex relationships, aiding in the discovery of novel drug-disease connections.

Purpose of the Study:

  • To provide a comprehensive overview of network-based methods in drug repositioning.
  • To highlight the application and potential of topological measures in network analysis for drug discovery.
  • To discuss unexplored topological measures and broaden the scope of their application.

Main Methods:

  • Review of existing literature on network-based drug repositioning.
  • Analysis of various structural (topological) network measures.
  • Exploration of drug-disease networks and other biological networks.

Main Results:

  • Topological measures effectively uncover non-obvious functional relationships between drugs and diseases.
  • These measures have successfully identified potential drug repositioning candidates.
  • The review synthesizes current knowledge and points to future research directions.

Conclusions:

  • Network-based approaches, utilizing topological measures, are powerful tools for drug repositioning.
  • Further exploration of topological measures can enhance the discovery of novel therapeutic applications for drugs.
  • This review emphasizes the expanding utility of network analysis in pharmaceutical research.