Title :
Retroactivity analysis of a chemical reaction network module for the subtraction of molecular fluxes
Author :
Mariaconcetta Bilotta;Carlo Cosentino;Declan G. Bates;Luca Salerno;Francesco Amato
Author_Institution :
Dipartimento di Medicina Sperimentale e Clinica, Università
Abstract :
The availability of a well-characterised subtraction module is a key step towards the realisation of modular embedded feedback controllers in synthetic biological systems. A well-known problem when dealing with complex biosystems is represented by the retroactivity effect, which can significantly modify the dynamics of interconnected subsystem, with respect to the behaviour they exhibit when disconnected from each other. In this paper, we illustrate a minimal CRN that implements a subtraction operation between two input molecular fluxes. In order to assess its effectiveness as a module of a more complex system, we analyse its retroactivity upon interconnection. More specifically, we connect the subtraction module with an upstream module, which determines the dynamics of the inputs species, and with a downstream transcriptional module, which acts as a load. By comparing the dynamics of the loaded and unloaded subtractor, we show that the retroactivity can be attenuated when the dynamics of the subtractor and of the load system evolve over different timescales. This result, obtained through a singular perturbation analysis, is confirmed by means of numerical simulations.
Keywords :
"Chemicals","Perturbation methods","Synthetic biology","Feedback control","Mathematical model","Adaptive control"
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
Electronic_ISBN :
1558-4615
DOI :
10.1109/EMBC.2015.7318518