Approaches to complexity reduction in a systems biology research environment (SYCAMORE)

  • Authors:

  • Irina Surovtsova;Sven Sahle;Jürgen Pahle;Ursula Kummer

  • Affiliations:

  • EML Research, Schloss-Wolfsbrunnenweg, Heidelberg, Germany;EML Research, Schloss-Wolfsbrunnenweg, Heidelberg, Germany;EML Research, Schloss-Wolfsbrunnenweg, Heidelberg, Germany;EML Research, Schloss-Wolfsbrunnenweg, Heidelberg, Germany

  • Venue:
  • Proceedings of the 38th conference on Winter simulation
  • Year:
  • 2006

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Abstract

Due to the complexity of biochemical reaction networks, so-called complexity reduction algorithms play a crucial role for making simulations efficient and for dissecting biochemical networks into meaningful subnetworks for analysis. Here, different approaches are presented, which we are developing in the context of a computational research environment for systems biology (SYCAMORE). These approaches are based on time-scale decomposition, sensitivity analysis, and hybrid simulation methods.