Bioinformatic Approaches to Metabolic Pathways Analysis

  • Stuart MaudsleyEmail author
  • Wayne Chadwick
  • Liyun Wang
  • Yu Zhou
  • Bronwen Martin
  • Sung-Soo Park
Part of the Methods in Molecular Biology book series (MIMB, volume 756)


The growth and development in the last decade of accurate and reliable mass data collection techniques has greatly enhanced our comprehension of cell signaling networks and pathways. At the same time however, these technological advances have also increased the difficulty of satisfactorily analyzing and interpreting these ever-expanding datasets. At the present time, multiple diverse scientific communities including molecular biological, genetic, proteomic, bioinformatic, and cell biological, are converging upon a common endpoint, that is, the measurement, interpretation, and potential prediction of signal transduction cascade activity from mass datasets. Our ever increasing appreciation of the complexity of cellular or receptor signaling output and the structural coordination of intracellular signaling cascades has to some extent necessitated the generation of a new branch of informatics that more closely associates functional signaling effects to biological actions and even whole-animal phenotypes. The ability to untangle and hopefully generate theoretical models of signal transduction information flow from transmembrane receptor systems to physiological and pharmacological actions may be one of the greatest advances in cell signaling science. In this overview, we shall attempt to assist the navigation into this new field of cell signaling and highlight several methodologies and technologies to appreciate this exciting new age of signal transduction.

Key words

Signaling Network Pathway Phenotype Receptor 



This work was supported entirely by the Intramural Research Program of the NIH, National Institute on Aging.


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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Stuart Maudsley
    • 1
    Email author
  • Wayne Chadwick
    • 1
  • Liyun Wang
    • 1
  • Yu Zhou
    • 1
  • Bronwen Martin
    • 2
  • Sung-Soo Park
    • 1
  1. 1.Receptor Pharmacology UnitNational Institute on Aging, National Institutes of HealthBaltimoreUSA
  2. 2.Metabolism UnitNational Institute on Aging, National Institutes of HealthBaltimoreUSA

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