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.
Musa, A., Ghoraie, L. S., Zhang, S-D., Glazko, G., Yli-Harja, O., Dehmer, M., ... Emmert-Streib, F. (2018). A review of connectivity map and computational approaches in pharmacogenomics. Briefings in Bioinformatics, 19(3), 506-523. https://doi.org/10.1093/bib/bbw112