TY - GEN
T1 - Robust filtering circuit design for gene networks under intrinsic and extrinsic molecular noises
AU - Chen, B. S.
AU - Wu, W. S.
PY - 2006/1/1
Y1 - 2006/1/1
N2 - How to design a robust gene network to tolerate intrinsic kinetic parameter variations and to attenuate extrinsic environmental noises to a desired filtering level will be an important topic in metabolic engineering for biotechnological purpose or drug design for therapeutic purpose. At present, there is still no good systematic design method to achieve the robust gene network design. In this study, a gene network suffering from intrinsic kinetic parameter fluctuations and extrinsic environmental noises is modeled as Langevin equation with state-dependent stochastic noises. Based on the nonlinear stochastic filtering theory, a systematic gene circuit design method is proposed to achieve robust stability to tolerate intrinsic noises and to attenuate extrinsic noises to a prescribed filtering level. Computational simulations of a gene network are performed to illustrate the systematic design procedure and to confirm the performance of the proposed robust filtering circuit design in gene networks. The robust gene network design principles have not only yielded a comprehensive design theory of robust gene networks, but also gained valuable insights into the molecular noise filtering of gene networks. The proposed design method could precede the experimental biotechnological method to allow objective numerical improvement strategies for robust gene circuit designs.
AB - How to design a robust gene network to tolerate intrinsic kinetic parameter variations and to attenuate extrinsic environmental noises to a desired filtering level will be an important topic in metabolic engineering for biotechnological purpose or drug design for therapeutic purpose. At present, there is still no good systematic design method to achieve the robust gene network design. In this study, a gene network suffering from intrinsic kinetic parameter fluctuations and extrinsic environmental noises is modeled as Langevin equation with state-dependent stochastic noises. Based on the nonlinear stochastic filtering theory, a systematic gene circuit design method is proposed to achieve robust stability to tolerate intrinsic noises and to attenuate extrinsic noises to a prescribed filtering level. Computational simulations of a gene network are performed to illustrate the systematic design procedure and to confirm the performance of the proposed robust filtering circuit design in gene networks. The robust gene network design principles have not only yielded a comprehensive design theory of robust gene networks, but also gained valuable insights into the molecular noise filtering of gene networks. The proposed design method could precede the experimental biotechnological method to allow objective numerical improvement strategies for robust gene circuit designs.
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U2 - 10.1109/ICSMC.2006.384686
DO - 10.1109/ICSMC.2006.384686
M3 - Conference contribution
SN - 1424401003
SN - 9781424401000
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 3590
EP - 3595
BT - 2006 IEEE International Conference on Systems, Man and Cybernetics
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2006 IEEE International Conference on Systems, Man and Cybernetics
Y2 - 8 October 2006 through 11 October 2006
ER -