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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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Aliyu Musa
Laleh Soltan Ghoraie
Shudong Zhang
Briefings in Bioinformatics
University of Toronto
University of Rochester
University Health Network
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Musa et al. (Tue,) studied this question.
www.synapsesocial.com/papers/69dd17605f91138675359c98 — DOI: https://doi.org/10.1093/bib/bbw112
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