| Literature DB >> 28069634 |
Aliyu Musa1, Laleh Soltan Ghoraie2, Shu-Dong Zhang3, Galina Glazko4, Olli Yli-Harja5, Matthias Dehmer6, Benjamin Haibe-Kains2,7,8,9, Frank Emmert-Streib1.
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.Mesh:
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Year: 2018 PMID: 28069634 PMCID: PMC5952941 DOI: 10.1093/bib/bbw112
Source DB: PubMed Journal: Brief Bioinform ISSN: 1467-5463 Impact factor: 11.622