Resource Sensor Design for Quantifying Resource Competition in Genetic Circuits
Name
Cameron2018CDC.pdf
Description
Submitted version
Size
387.36 KB
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Unknown
Checksum (MD5)
121e701a95c0fa1172f6e9bf6dec9f13
Author(s)
McBride, Cameron David
Del Vecchio, Domitilla
Date Issued
December 2018
Journal
Proceedings of the IEEE Conference on Decision and Control
Publisher
IEEE
Citation
McBride, Cameron and Del Vecchio, Domitilla. 2018. "Resource Sensor Design for Quantifying Resource Competition in Genetic Circuits." Proceedings of the IEEE Conference on Decision and Control, 2018-December.
Version
Original manuscript
Abstract
© 2018 IEEE. Sharing of cellular resources in genetic circuits negatively affects performance and often leads to unpredictable behavior. Measuring key metrics from experimental data that quantify resource sharing and its effect on a system's output would be highly useful. In this paper, we propose two metrics, Q and S, representing the quantity of resources used by a genetic circuit module and the sensitivity of the output of a module to resource disturbances, respectively. Together, Q and S may be used to estimate the change in the output of a module in response to the disturbances in the availability of resources. We cast the problem of finding these metrics as a parameter estimation problem and outline a simple procedure to estimate these metrics from data. Knowledge of Q and S for a circuit module enables prediction of the effects of resource sharing and allows for resource-aware design of genetic circuits.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/cdc.2018.8619465
