Reference : Topological network measures for drug repositioning.
Scientific journals : Article
Life sciences : Multidisciplinary, general & others
Systems Biomedicine
http://hdl.handle.net/10993/45677
Topological network measures for drug repositioning.
English
Badkas, Apurva mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Life Sciences and Medicine (DLSM)]
De Landtsheer, Sébastien [> >]
Sauter, Thomas mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Life Sciences and Medicine (DLSM)]
2020
Briefings in bioinformatics
Yes (verified by ORBilu)
International
1467-5463
1477-4054
England
[en] computational methods ; drug repositioning ; networks ; topological network measures ; topology
[en] 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.
http://hdl.handle.net/10993/45677
© The Author(s) 2020. Published by Oxford University Press.

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