A Review of Drug Repositioning Based Chemical-induced Cell Line Expression Data

Curr Med Chem. 2020;27(32):5340-5350. doi: 10.2174/0929867325666181101115801.

Abstract

Drug repositioning is an important area of biomedical research. The drug repositioning studies have shifted to computational approaches. Large-scale perturbation databases, such as the Connectivity Map and the Library of Integrated Network-Based Cellular Signatures, contain a number of chemical-induced gene expression profiles and provide great opportunities for computational biology and drug repositioning. One reason is that the profiles provided by the Connectivity Map and the Library of Integrated Network-Based Cellular Signatures databases show an overall view of biological mechanism in drugs, diseases and genes. In this article, we provide a review of the two databases and their recent applications in drug repositioning.

Keywords: Drug repositioning; bioinformatics; computational biology; connectivity map; drug candidate; the library of integrated network-based cellular signatures..

Publication types

  • Review

MeSH terms

  • Cell Line
  • Computational Biology*
  • Databases, Factual
  • Drug Repositioning*
  • Transcriptome