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

A review of connectivity map and computational approaches in pharmacogenomics

Aliyu Musa  1 , Laleh Soltan Ghoraie  2 , Shu-Dong Zhang  3 , Galina Glazko  4 , Olli Yli-Harja  5 , Matthias Dehmer  6 , Benjamin Haibe-Kains  2   7   8   9 , Frank Emmert-Streib  1
Affiliations
Review

A review of connectivity map and computational approaches in pharmacogenomics

Aliyu Musa et al. Brief Bioinform. .

Erratum in

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.

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Figures

Figure 1.
Figure 1.
Mechanistic overview of the working principle of the CMap method and the CMap database for drug discovery.
See this image and copyright information in PMC

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