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Predicting Transcriptional Output of Synthetic Multi-Input Promoters

Short Abstract — Recent advances in synthetic biology have led to a wealth of well characterized parts. Considering these developments, the potential to create novel multi-input inducible promoters with a greater number of inputs has become simpler. However, the potential combinations of inputs rapidly outpace our capability to fully characterize every possible combination. In this study, we describe two methods to predict the output of multi-input systems as a function of varying concentrations of multiple inducing ligands by combining characterization data of single input systems. These methods can be used by synthetic biologists to better design systems that utilize multi-input promoters.