2006 AIChE Annual Meeting
(283a) In Silico Design of Synthetic Tetracycline-Inducible Regulatory Gene Networks
Authors
In this work we engineer novel networks by recombining existing genes or part of genes. In particular, we synthesize four novel regulatory networks based on the Tet-Off and Tet-On systems. We model all the known individual biomolecular interactions involved in transcription, translation, regulation and induction using stochastic chemical kinetics models. With multiple time-scale stochastic-discrete and stochastic-continuous models we accurately capture the transient and steady state dynamics of these networks. Important biomolecular interactions are identified and the strength of the interactions engineered to satisfy design criteria. We are able to propose, test and accept or reject design principles for each network. A set of clear design rules is developed and appropriate mutants of regulatory proteins and operator sites are proposed, leading to a fine tuned design for each proposed network.