Systems Biology Analysis of Kinase Inhibitor Protein Target Profiles in Leukemia Treatments

  • Jacques Colinge
  • Uwe Rix
  • Keiryn L. Bennett
  • Giulio Superti-Furga
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7223)


To be able to understand the mechanisms of action of drugs, predict their efficacy, and anticipate their potential side-effects is important during drug development. In diseases where the genetic background of patients modulates treatment response, it might allow personalizing the therapy.

Substantial progress in proteomic technologies[1] have made it possible to develop chemical proteomics methods, where the protein targets of a drug are affinity-purified and identified by mass spectrometry[2, 3]. Compound-protein interactions are measured in a biological context as opposed to in vitro binding assays. That is, drugprotein interactions can not only be determined proteome-wide, but also in a tissue- or cell type-dependent manner.


Chronic Myeloid Leukemia Noonan Syndrome Target Spectrum Vitro Binding Assay Human Interactome 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Jacques Colinge
    • 1
  • Uwe Rix
    • 1
  • Keiryn L. Bennett
    • 1
  • Giulio Superti-Furga
    • 1
  1. 1.Center for Molecular Medicine of the Austrian Academy of Sciences AKH-BT 25.3ViennaAustria

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