@article{Iskar.2012.22153034,
  author = {Iskar, M and Zeller, G and Zhao, XM and van Noort, V and Bork, P},
  title = {{Drug discovery in the age of systems biology: the rise of computational approaches for data integration}},
  journal = {Current opinion in biotechnology},
  volume = {23},
  number = {4},
  pages = {609-16},
  year = {2012},
  url = {http://www.ncbi.nlm.nih.gov/pubmed/22153034},
  abstract = {{The increased availability of large-scale open-access resources on bioactivities of small molecules has a significant impact on pharmacology facilitated mainly by computational approaches that digest the vast amounts of data. We discuss here how computational data integration enables systemic views on a drug's action and allows to tackle complex problems such as the large-scale prediction of drug targets, drug repurposing, the molecular mechanisms, cellular responses or side effects. We particularly focus on computational methods that leverage various cell-based transcriptional, proteomic and phenotypic profiles of drug response in order to gain a systemic view of drug action at the molecular, cellular and whole-organism scale.}}
}