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This paper reports the modeling progress of an arsenic biosensor system, which is 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 a calibratable pH changes in response to a range of arsenic concentrations. A computational model which contains 3 operons, 19 reactions and 17 species has been constructed to shed light on the wet-lab experimental design. 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. The next step research is to refine the model by comparing it with the biological output. Key words Modeling, Arsenic Biosensor, Edinburgh iGEM 2006 Methodology The gene expression reactions are modeled using Michaelis‐Menten equation while the other reactions are described in Mass‐Action equations. We divided the whole system into three operons, namely Urease operon, LambdaCI operon and LacZ operon. The Urease operon