Abstrakti
Large-scale perturbation databases, such as ConnectivityMap (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.
Alkuperäiskieli | Englanti |
---|---|
Sivut | 506-523 |
Sivumäärä | 18 |
Julkaisu | Briefings in Bioinformatics |
Vuosikerta | 19 |
Numero | 3 |
DOI - pysyväislinkit | |
Tila | Julkaistu - 1 toukok. 2018 |
OKM-julkaisutyyppi | A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä |
Julkaisufoorumi-taso
- Jufo-taso 2
!!ASJC Scopus subject areas
- Information Systems
- Molecular Biology