A review of connectivity map and computational approaches in pharmacogenomics

Aliyu Musa; Laleh Soltan  Ghoraie; Shu-Dong Zhang; Galina Glazko; Olli Yli-Harja; Matthias Dehmer; Benjamin Haibe-Kains; Frank Emmert-Streib

doi:10.1093/bib/bbw112

A review of connectivity map and computational approaches in pharmacogenomics

Aliyu Musa
, Laleh Soltan Ghoraie
, Shu-Dong Zhang
, Galina Glazko
, Olli Yli-Harja
, Matthias Dehmer
, Benjamin Haibe-Kains
, Frank Emmert-Streib

Research output: Contribution to journal › Article › peer-review

236 Citations (Scopus)

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.

Original language	English
Pages (from-to)	506-523
Number of pages	18
Journal	Briefings in Bioinformatics
Volume	19
Issue number	3
DOIs	https://doi.org/10.1093/bib/bbw112
Publication status	Published (in print/issue) - 1 May 2018

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AU - Dehmer, Matthias

AU - Haibe-Kains, Benjamin

AU - Emmert-Streib, Frank

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AB - 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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A review of connectivity map and computational approaches in pharmacogenomics

Abstract

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