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A review of connectivity map and computational approaches in pharmacogenomics

2017; Oxford University Press; Linguagem: Inglês

10.1093/bib/bbw112

1477-4054

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

Microbial Metabolic Engineering and Bioproduction

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.