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Systems Biology [electronic resource] : Applications and Perspectives / edited by P. Bringmann, E. C. Butcher, G. Parry, B. Weiss.

Contributor(s): Series: Ernst Schering Research Foundation Workshop ; 61Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007Description: XIII, 177 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540313397
Subject(s): Genre/Form: Additional physical formats: Printed edition:: No titleDDC classification:
  • 614.5999 23
LOC classification:
  • RC261-271
Online resources:
Contents:
RNAi Applications in Target Validation -- Does the Serum Peptidome Reveal Hemostatic Dysregulation? -- Systems Biology: New Paradigms for Cell Biology and Drug Design -- The Theory of Biological Robustness and Its Implication in Cancer -- Network Genomics -- A Plea for More Theory in Molecular Biology -- Applying a Causal Framework to System Modeling -- Can Cell Systems Biology Rescue Drug Discovery?.
In: Springer eBooksSummary: Systems biology has emerged as a highly interdisciplinary ?eld that has created broad enthusiasm in the scienti?c community. Systems biology is in vogue because of its potential to revolutionize not only biology but also medicine. Developments are anticipated that will change how we think about disease and how we approach therapeutic intervention. Perhaps the boldest vision of this future is presented by Dr. Leroy Hood, President of the Institute for Systems Biology in Seattle. He has been a protagonist and the main driving force of the underlying concept. - cording to Dr. Hood, systems biology will make possible a new era of medical care comprising predictive, preventive, personalized and part- ipatory (P4) medicine. While this vision appears futuristic, it has enticed both academic scienti?c communities and pharmaceutical industry R&D organizations. Systems biology ultimately attempts to understand biological s- tems at the molecular level. Examples of such systems are subcellular regulatory circuits with all their components, cells, organs, as well as - tire organisms. Over the past decade, technologies have been developed that enable systems-level interrogations, e.g., gene expression pro?ling, proteomics, and metabonomics, to name a few. Scientists have used such platforms to accumulate a tremendous amount of data. Although we have learned a great deal by collecting such detailed information, it seems our understanding has not similarly increased.
Item type: eBooks
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RNAi Applications in Target Validation -- Does the Serum Peptidome Reveal Hemostatic Dysregulation? -- Systems Biology: New Paradigms for Cell Biology and Drug Design -- The Theory of Biological Robustness and Its Implication in Cancer -- Network Genomics -- A Plea for More Theory in Molecular Biology -- Applying a Causal Framework to System Modeling -- Can Cell Systems Biology Rescue Drug Discovery?.

Systems biology has emerged as a highly interdisciplinary ?eld that has created broad enthusiasm in the scienti?c community. Systems biology is in vogue because of its potential to revolutionize not only biology but also medicine. Developments are anticipated that will change how we think about disease and how we approach therapeutic intervention. Perhaps the boldest vision of this future is presented by Dr. Leroy Hood, President of the Institute for Systems Biology in Seattle. He has been a protagonist and the main driving force of the underlying concept. - cording to Dr. Hood, systems biology will make possible a new era of medical care comprising predictive, preventive, personalized and part- ipatory (P4) medicine. While this vision appears futuristic, it has enticed both academic scienti?c communities and pharmaceutical industry R&D organizations. Systems biology ultimately attempts to understand biological s- tems at the molecular level. Examples of such systems are subcellular regulatory circuits with all their components, cells, organs, as well as - tire organisms. Over the past decade, technologies have been developed that enable systems-level interrogations, e.g., gene expression pro?ling, proteomics, and metabonomics, to name a few. Scientists have used such platforms to accumulate a tremendous amount of data. Although we have learned a great deal by collecting such detailed information, it seems our understanding has not similarly increased.

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