TY - GEN
T1 - Model-based feedback control of synthetic biomolecular circuits
AU - Hori, Yutaka
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2018/2/28
Y1 - 2018/2/28
N2 - The advance of synthetic biology has opened up many potential applications of synthetic biocircuits, including sensing, computation and high-value chemical production using biological cells. To enable rational and robust design of large-scale and complex systems, model-guided design of biocircuits has been increasingly important. Here we review a combined theoretical and experimental platform for model-based optimization of biocircuits. The framework combines feedback control theory and microfluidic technology to enable rapid characterization of biocircuit dynamics in vitro based on advanced mathematical tools in feedback control.
AB - The advance of synthetic biology has opened up many potential applications of synthetic biocircuits, including sensing, computation and high-value chemical production using biological cells. To enable rational and robust design of large-scale and complex systems, model-guided design of biocircuits has been increasingly important. Here we review a combined theoretical and experimental platform for model-based optimization of biocircuits. The framework combines feedback control theory and microfluidic technology to enable rapid characterization of biocircuit dynamics in vitro based on advanced mathematical tools in feedback control.
UR - http://www.scopus.com/inward/record.url?scp=85050477925&partnerID=8YFLogxK
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U2 - 10.1109/MHS.2017.8305288
DO - 10.1109/MHS.2017.8305288
M3 - Conference contribution
AN - SCOPUS:85050477925
T3 - MHS 2017 - 28th 2017 International Symposium on Micro-NanoMechatronics and Human Science
SP - 1
EP - 2
BT - MHS 2017 - 28th 2017 International Symposium on Micro-NanoMechatronics and Human Science
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 28th International Symposium on Micro-NanoMechatronics and Human Science, MHS 2017
Y2 - 3 December 2017 through 6 December 2017
ER -