Article (Scientific journals)
Topological network measures for drug repositioning.
Badkas, Apurva; De Landtsheer, Sébastien; Sauter, Thomas
2020In Briefings in Bioinformatics
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Keywords :
computational methods; drug repositioning; networks; topological network measures; topology
Abstract :
[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.
Disciplines :
Life sciences: Multidisciplinary, general & others
Author, co-author :
Badkas, Apurva ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Life Sciences and Medicine (DLSM)
De Landtsheer, Sébastien
Sauter, Thomas ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Life Sciences and Medicine (DLSM)
External co-authors :
no
Language :
English
Title :
Topological network measures for drug repositioning.
Publication date :
2020
Journal title :
Briefings in Bioinformatics
ISSN :
1477-4054
Publisher :
Oxford University Press, United Kingdom
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Systems Biomedicine
Commentary :
© The Author(s) 2020. Published by Oxford University Press.
Available on ORBilu :
since 19 January 2021

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