A review of connectivity map and computational approaches in pharmacogenomics

Brief Bioinform. 2018 May 1;19(3):506-523. doi: 10.1093/bib/bbw112.

Abstract

Large-scale perturbation databases, such as Connectivity Map (CMap) or Library of Integrated Network-based Cellular Signatures (LINCS), provide enormous opportunities for computational pharmacogenomics and drug design. A reason for this is that in contrast to classical pharmacology focusing at one target at a time, the transcriptomics profiles provided by CMap and LINCS open the door for systems biology approaches on the pathway and network level. In this article, we provide a review of recent developments in computational pharmacogenomics with respect to CMap and LINCS and related applications.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Computational Biology / methods*
  • Databases, Factual
  • Gene Expression Profiling / methods*
  • Gene Regulatory Networks
  • Humans
  • Pharmacogenetics*
  • Small Molecule Libraries / pharmacology*
  • Transcriptome*

Substances

  • Small Molecule Libraries