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A review of connectivity map and computational approaches in pharmacogenomics

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Details

Original languageEnglish
Pages (from-to)506-523
Number of pages18
JournalBriefings in Bioinformatics
Volume19
Issue number3
DOIs
Publication statusPublished - 1 May 2018
Publication typeA1 Journal article-refereed

Abstract

Large-scale perturbation databases, such as ConnectivityMap (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.

ASJC Scopus subject areas

Keywords

  • Big data, Bioinformatics, Drug discovery, Drug repositioning, Drug repurposing, Pharmacogenomics

Publication forum classification

Field of science, Statistics Finland