Applications of genome-wide screening and systems biology approaches in drug repositioning

Elyas Mohammadi, Rui Benfeitas, Hasan Turkez, Jan Boren, Jens Nielsen, Mathias Uhlen, Adil Mardinoglu*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

16 Citations (Scopus)

Abstract

Modern drug discovery through de novo drug discovery entails high financial costs, low success rates, and lengthy trial periods. Drug repositioning presents a suitable approach for overcoming these issues by re-evaluating biological targets and modes of action of approved drugs. Coupling high-throughput technologies with genome-wide essentiality screens, network analysis, genome-scale metabolic modeling, and machine learning techniques enables the proposal of new drug–target signatures and uncovers unanticipated modes of action for available drugs. Here, we discuss the current issues associated with drug repositioning in light of curated high-throughput multi-omic databases, genome-wide screening technologies, and their application in systems biology/medicine approaches.

Original languageEnglish
Article number2694
Pages (from-to)1-24
Number of pages24
JournalCancers
Volume12
Issue number9
DOIs
Publication statusPublished - Sept 2020

Keywords

  • Drug repositioning
  • Genomic screens
  • Machine learning
  • Systems medicine
  • Systems pharmacology

Fingerprint

Dive into the research topics of 'Applications of genome-wide screening and systems biology approaches in drug repositioning'. Together they form a unique fingerprint.

Cite this