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Optimizing biosensor design with computer modeling: a case study involving creatine Jessica W Smith*1; RH Davies2; JD Andrade2; RA Van Wagenen1 (1) 391 G Chipeta Way, St 311, Salt Lake City, UT 84108, USA; (2) University of Utah, Dept of Bioengineering, Salt Lake City, UT 84112      *(tojsmith@ihc.com) For many metabolites, there are several metabolic pathways that involve ATP and therefore, there are several pathways that can be potentially coupled to ATP-linked firefly luciferase to produce bioluminescence. The coupled reactions include two basic types, ATP production and ATP depletion. The change in ATP, which can be measured from the light produced via the firefly luciferase reaction, correlates with substrate concentration. A biosensor based on this principal, that could measure several metabolites at once, would be a great asset to both research and clinical and preventative medicine. However, for even the simplest metabolic pathways, biosensor design is a complex and costly endeavor. Computer modeling is a useful tool for evaluating the feasibility of using a bioluminescent-based biosensor to quantify specific metabolites. Computer models can be used to investigate several metabolic pathways to determine the optimal reaction scheme and kinetics for biosensor design. The purpose of this investigation was to develop a computer model for the ATP firefly luciferase reaction, present a case study of a homogeneous, ATP depletion assay involving creatine, and discuss the use of computer modeling for optimizing biosensor design. [Poster: smith.jessic.16032]

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