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  • Poster presentation
  • Open Access

Modeling the arsenic biosensor system

BMC Systems Biology20071 (Suppl 1) :P83

  • Published:


  • Arsenic
  • Water Pollution
  • Computational Model
  • System Biology
  • Arsenic Concentration

This paper reports the modeling part of an arsenic biosensor system, which was the iGEM project accomplished in the University of Edinburgh 2006. The arsenic biosensor system sought to address the fatal water pollution problem occurring in many poor countries/areas like Bangladesh by producing calibratable pH changes in response to a range of arsenic concentrations. An ODE based computational model which contains 3 operons, 19 reactions and 17 species has been constructed in order to shed light on the wet-lab experimental design. The model showed good induction of urease and repression of lacZ in the absence of arsenate, and repression of urease and induction of lacZ at high arsenate levels. By analyzing the sensitivity of each parameter/species, we identified their relative importance in the system which gives the theoretical guide when measuring the variable in wet-lab.

Authors’ Affiliations

Virginia Bioinformatics Institute, Virginia Tech, the University of Edinburgh, UK
School of Engineering, the University of Edinburgh, UK
School of Informatics, the University of Edinburgh, UK
School of Biology, the University of Edinburgh, UK


© Cai et al; licensee BioMed Central Ltd. 2007

This article is published under license to BioMed Central Ltd.