Examining tissue differentiation stability through large scale, multi-cellular pathway modeling

Richard L. Schiek, Elebeoba May

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Genetic expression and control pathways can be successfully modeled as electrical circuits. To tackle large multicellular and genome scale simulations, the massively-parallel, electronic circuit simulator, Xyce™ [11], was adapted to address biological problems. Unique to this bio-circuit simulator is the ability to simulate not just one or a set of genetic circuits in a cell, but many cells and their internal circuits interacting through a common environment. Additionally, the circuit simulator Xyce can couple to the optimization and uncertainty analysis framework Dakota [2] allowing one to find viable parameter spaces for normal cell functionality and required parameter ranges for unknown or difficult to measure biological constants. Using such tools, we investigate the Drosophila sp. segmental differentiation network's stability as a function of initial conditions.

Original languageEnglish (US)
Title of host publication2006 AIChE Annual Meeting
StatePublished - Dec 1 2006
Event2006 AIChE Annual Meeting - San Francisco, CA, United States
Duration: Nov 12 2006Nov 17 2006


Other2006 AIChE Annual Meeting
Country/TerritoryUnited States
CitySan Francisco, CA

ASJC Scopus subject areas

  • Chemical Engineering(all)
  • Chemistry(all)


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