The modeling of gene regulatory networks

  • Kaern M
  • Blake W
  • Collins J
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The rapid accumulation of genetic information and advancement of experimental techniques have opened a new frontier in biomedical engineering. With the availability of well-characterized components from natural gene networks, the stage has been set for the engineering of artificial gene regulatory networks with sophisticated computational and functional capabilities. In these efforts, the ability to construct, analyze, and interpret qualitative and quantitative models is becoming increasingly important. In this review, we consider the current state of gene network engineering from a combined experimental and modeling perspective. We discuss how networks with increased complexity are being constructed from simple modular components and how quantitative deterministic and stochastic modeling of these modules may provide the foundation for accurate in silico representations of gene regulatory network function in vivo.

Author-supplied keywords

  • animals
  • gene expression
  • gene expression genetics
  • gene expression regulation
  • gene expression regulation genetics
  • genetic
  • genetic engineering
  • genetic engineering methods
  • genetic genetics
  • humans
  • models
  • protein engineering
  • protein engineering methods
  • stochastic processes
  • transcription

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  • PMID: 12931599


  • Mads Kaern

  • William J Blake

  • J J Collins

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