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Items: 1 to 20 of 142

4.

A systematic design method for robust synthetic biology to satisfy design specifications.

Chen BS, Wu CH.

BMC Syst Biol. 2009 Jun 30;3:66. doi: 10.1186/1752-0509-3-66.

6.

The stochastic evolutionary game for a population of biological networks under natural selection.

Chen BS, Ho SJ.

Evol Bioinform Online. 2014 Feb 16;10:17-38. doi: 10.4137/EBO.S13227. eCollection 2014.

7.

Robust filtering circuit design for stochastic gene networks under intrinsic and extrinsic molecular noises.

Chen BS, Wu WS.

Math Biosci. 2008 Feb;211(2):342-55. doi: 10.1016/j.mbs.2007.11.002. Epub 2007 Nov 22.

PMID:
18191422
8.

Robust model matching design methodology for a stochastic synthetic gene network.

Chen BS, Chang CH, Wang YC, Wu CH, Lee HC.

Math Biosci. 2011 Mar;230(1):23-36. doi: 10.1016/j.mbs.2010.12.007. Epub 2011 Jan 6.

PMID:
21215760
9.

On the Interplay between the Evolvability and Network Robustness in an Evolutionary Biological Network: A Systems Biology Approach.

Chen BS, Lin YP.

Evol Bioinform Online. 2011;7:201-33. doi: 10.4137/EBO.S8123. Epub 2011 Nov 1.

10.

Using Nonlinear Stochastic Evolutionary Game Strategy to Model an Evolutionary Biological Network of Organ Carcinogenesis Under a Natural Selection Scheme.

Chen BS, Tsai KW, Li CW.

Evol Bioinform Online. 2015 Jul 19;11:155-78. doi: 10.4137/EBO.S26195. eCollection 2015.

11.

Multiobjective H2/H∞ synthetic gene network design based on promoter libraries.

Wu CH, Zhang W, Chen BS.

Math Biosci. 2011 Oct;233(2):111-25. doi: 10.1016/j.mbs.2011.07.001. Epub 2011 Jul 19.

PMID:
21787791
12.

Nonlinear Dynamics in Gene Regulation Promote Robustness and Evolvability of Gene Expression Levels.

Steinacher A, Bates DG, Akman OE, Soyer OS.

PLoS One. 2016 Apr 15;11(4):e0153295. doi: 10.1371/journal.pone.0153295. eCollection 2016.

13.

Evolving robust gene regulatory networks.

Noman N, Monjo T, Moscato P, Iba H.

PLoS One. 2015 Jan 23;10(1):e0116258. doi: 10.1371/journal.pone.0116258. eCollection 2015.

14.

Design and connection of robust genetic circuits.

Randall A, Guye P, Gupta S, Duportet X, Weiss R.

Methods Enzymol. 2011;497:159-86. doi: 10.1016/B978-0-12-385075-1.00007-X. Review.

PMID:
21601086
15.

Combined model of intrinsic and extrinsic variability for computational network design with application to synthetic biology.

Toni T, Tidor B.

PLoS Comput Biol. 2013;9(3):e1002960. doi: 10.1371/journal.pcbi.1002960. Epub 2013 Mar 28.

16.

Synthetic biology and regulatory networks: where metabolic systems biology meets control engineering.

He F, Murabito E, Westerhoff HV.

J R Soc Interface. 2016 Apr;13(117). pii: 20151046. doi: 10.1098/rsif.2015.1046. Epub 2016 Apr 13. Review.

17.

Ensemble Modeling for Robustness Analysis in engineering non-native metabolic pathways.

Lee Y, Lafontaine Rivera JG, Liao JC.

Metab Eng. 2014 Sep;25:63-71. doi: 10.1016/j.ymben.2014.06.006. Epub 2014 Jun 24.

18.

Dynamical and topological robustness of the mammalian cell cycle network: a reverse engineering approach.

Ruz GA, Goles E, Montalva M, Fogel GB.

Biosystems. 2014 Jan;115:23-32. doi: 10.1016/j.biosystems.2013.10.007. Epub 2013 Nov 6.

PMID:
24212100
20.

MiRNAs confer phenotypic robustness to gene networks by suppressing biological noise.

Siciliano V, Garzilli I, Fracassi C, Criscuolo S, Ventre S, di Bernardo D.

Nat Commun. 2013;4:2364. doi: 10.1038/ncomms3364.

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