• DocumentCode
    3108272
  • Title

    Systems Biology in Drug Discovery

  • Author

    Kunkel, Eric J.

  • Author_Institution
    BioSeek Inc., Burlingame, CA
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 3 2006
  • Firstpage
    37
  • Lastpage
    37
  • Abstract
    Systems biology aims to describe and to understand the operation of complex biological systems with the goal of developing predictive models of human disease. The most powerful systems biology approaches would ideally integrate information from (1) large datasets of gene, protein, and metabolite measurement ("omics" data), (2) complex cell- and tissue-level in vitro models of the disease process, and (3) in silico computer simulations that integrate information flow from the pathway to organism levels. Systems biology provides a framework for understanding biological processes and more rationally identifying points of intervention for therapeutics. While fully integrated models of human disease are still a distant goal, simplified systems biology efforts can (and are beginning to) have an enormous impact on both our understanding of disease and the success of the drug discovery process
  • Keywords
    cancer; cellular biophysics; digital simulation; drugs; medical computing; patient treatment; tumours; complex biological system; complex cell-level model; disease process; drug discovery; gene dataset; human disease; in silico computer simulation; integrative information; metabolite measurement; predictive model; protein dataset; systems biology; therapeutics intervention; tissue-level in vitro model; Biological system modeling; Biological systems; Diseases; Drugs; Fluid flow measurement; Humans; In vitro; Predictive models; Proteins; Systems biology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
  • Conference_Location
    New York, NY
  • ISSN
    1557-170X
  • Print_ISBN
    1-4244-0032-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2006.259390
  • Filename
    4461677