TY - GEN
T1 - How to synthesize an optimized genetic λ -switching system? A system-theoretic approach based on SQP
AU - Cho, Kwang Hyun
AU - Cha, Jong Ho
AU - Wolkenhauer, Olaf
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2003.
PY - 2003
Y1 - 2003
N2 - The concept of gene regulation has been investigated by biologists for several decades and has led to the concept of gene regulatory circuits and biological switches. There have been several theoretical approaches to model biological switches. In this paper we present a control systems approach to synthetic genetic switches. In particular, we first analyze the dynamic model of the synthetic λ - switch to identify parameters which affect the switching performance. Based on the dy- namic model, we formulate a performance measure from those parameters and then apply an optimization technique. More specifically, we employ sequential quadratic programming for this purpose and then optimize the performance of the synthetic λ - switch in view of the performance measure. The system-theoretic approach suggested here should be applicable to studies of other regulated cellular systems.
AB - The concept of gene regulation has been investigated by biologists for several decades and has led to the concept of gene regulatory circuits and biological switches. There have been several theoretical approaches to model biological switches. In this paper we present a control systems approach to synthetic genetic switches. In particular, we first analyze the dynamic model of the synthetic λ - switch to identify parameters which affect the switching performance. Based on the dy- namic model, we formulate a performance measure from those parameters and then apply an optimization technique. More specifically, we employ sequential quadratic programming for this purpose and then optimize the performance of the synthetic λ - switch in view of the performance measure. The system-theoretic approach suggested here should be applicable to studies of other regulated cellular systems.
UR - https://www.scopus.com/pages/publications/84958678839
U2 - 10.1007/3-540-36481-1_19
DO - 10.1007/3-540-36481-1_19
M3 - Conference contribution
AN - SCOPUS:84958678839
SN - 3540006052
SN - 9783540006053
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 170
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
A2 - Priami, Corrado
PB - Springer
T2 - 1st International Workshop on Computational Methods in Systems Biology, CMSB 2003
Y2 - 24 February 2003 through 26 February 2003
ER -