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

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Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7223)

Abstract

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.

Keywords

  • 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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© 2012 Springer-Verlag Berlin Heidelberg

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Colinge, J., Rix, U., Bennett, K.L., Superti-Furga, G. (2012). Systems Biology Analysis of Kinase Inhibitor Protein Target Profiles in Leukemia Treatments. In: Lones, M.A., Smith, S.L., Teichmann, S., Naef, F., Walker, J.A., Trefzer, M.A. (eds) Information Processign in Cells and Tissues. IPCAT 2012. Lecture Notes in Computer Science, vol 7223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28792-3_9

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  • DOI: https://doi.org/10.1007/978-3-642-28792-3_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28791-6

  • Online ISBN: 978-3-642-28792-3

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