A Review of Connectivity Map and Computational Approaches in Pharmacogenomics | UAMS Department of Biomedical Informatics

Briefings in Bioinformatics, 19(3):506-523 | DOI: 10.1093/bib/bbw112

Musa A., Ghoraie L.S., Zhang S.,Glazko G., Yli-Harja O., Dehmer M., Haibe-Kains B., Emmert-Streib F.

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.