In silico drug repositioning using omics data: the potential and pitfalls

Research output: Chapter in Book/Report/Conference proceedingEntry for encyclopedia/dictionary


With the recognition of the heterogeneity within complex diseases, such as cancer, there is an accompanying understanding of the need for a stratified approach to treatment. Patients with different underlying biologies originating at the genomic, epigenetic, or transcriptomics levels may present with similar phenotypes at diagnosis. The same treatment may thus result in different outcomes. Using the wealth of public information that is available, particularly from high-throughput experiments, regarding the behavior of approved drugs may facilitate the discovery of novel treatments for subgroups of patients. In silico approaches to drug repositioning have been developed over the past 15 years with a view to enabling this process, with a focus on mapping compounds to patient phenotypes and uncovering novel mechanisms of action. An understanding of the core structure and design of each of these tools, possible applications, and how different inputs can influence results is essential in order that users can maximize the potential of such in silico analyses. This in turn will accelerate the preclinical stage of the biomarker translational pipeline, often perceived as a key bottleneck.

Original languageEnglish
Title of host publicationDrug discovery and evaluation: methods in clinical pharmacology
Subtitle of host publicationMethods in Clinical Pharmacology, Second Edition
EditorsFranz J. Hock, Michael R. Gralinski
PublisherSpringer International Publishing AG
Number of pages19
ISBN (Electronic)9783319688640
ISBN (Print)9783319688633
Publication statusPublished - 10 Sept 2019

Bibliographical note

Publisher Copyright:
© Springer Nature Switzerland AG 2020.

ASJC Scopus subject areas

  • Medicine(all)
  • Pharmacology, Toxicology and Pharmaceutics(all)
  • Biochemistry, Genetics and Molecular Biology(all)


Dive into the research topics of 'In silico drug repositioning using omics data: the potential and pitfalls'. Together they form a unique fingerprint.

Cite this