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Results: 1 to 20 of 170

Cited In for PubMed (Select 11872830)

1.

Cell lineage branching as a strategy for proliferative control.

Buzi G, Lander AD, Khammash M.

BMC Biol. 2015 Feb 19;13(1):13. doi: 10.1186/s12915-015-0122-8.

2.

Engineering control into medicine.

Stone DJ, Celi LA, Csete M.

J Crit Care. 2015 Jun;30(3):652.e1-652.e7. doi: 10.1016/j.jcrc.2015.01.019. Epub 2015 Jan 30. Review.

PMID:
25680579
3.

Improving the robustness of complex networks with preserving community structure.

Yang Y, Li Z, Chen Y, Zhang X, Wang S.

PLoS One. 2015 Feb 12;10(2):e0116551. doi: 10.1371/journal.pone.0116551. eCollection 2015.

4.

Analytical study of robustness of a negative feedback oscillator by multiparameter sensitivity.

Maeda K, Kurata H.

BMC Syst Biol. 2014;8 Suppl 5:S1. doi: 10.1186/1752-0509-8-S5-S1. Epub 2014 Dec 12.

5.
6.

Developments in the tools and methodologies of synthetic biology.

Kelwick R, MacDonald JT, Webb AJ, Freemont P.

Front Bioeng Biotechnol. 2014 Nov 26;2:60. doi: 10.3389/fbioe.2014.00060. eCollection 2014. Review.

7.

Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently.

Currin A, Swainston N, Day PJ, Kell DB.

Chem Soc Rev. 2015 Mar 7;44(5):1172-239. doi: 10.1039/c4cs00351a.

8.

From Physics to Pharmacology?

Allen RJ, Elston TC.

Rep Prog Phys. 2011 Jan;74(1). pii: 016601.

9.

Computational strategies for a system-level understanding of metabolism.

Cazzaniga P, Damiani C, Besozzi D, Colombo R, Nobile MS, Gaglio D, Pescini D, Molinari S, Mauri G, Alberghina L, Vanoni M.

Metabolites. 2014 Nov 24;4(4):1034-87. doi: 10.3390/metabo4041034. Review.

10.

Control systems and coordination protocols of the secretory pathway.

Luini A, Mavelli G, Jung J, Cancino J.

F1000Prime Rep. 2014 Oct 1;6:88. doi: 10.12703/P6-88. eCollection 2014. Review.

11.

A unifying computational framework for stability and flexibility of arousal.

Kosse C, Burdakov D.

Front Syst Neurosci. 2014 Oct 20;8:192. doi: 10.3389/fnsys.2014.00192. eCollection 2014.

12.

Computational modelling of the inflammatory response in trauma, sepsis and wound healing: implications for modelling resilience.

Vodovotz Y.

Interface Focus. 2014 Oct 6;4(5):20140004. doi: 10.1098/rsfs.2014.0004. Review.

PMID:
25285195
13.

Macromolecular networks and intelligence in microorganisms.

Westerhoff HV, Brooks AN, Simeonidis E, GarcĂ­a-Contreras R, He F, Boogerd FC, Jackson VJ, Goncharuk V, Kolodkin A.

Front Microbiol. 2014 Jul 22;5:379. doi: 10.3389/fmicb.2014.00379. eCollection 2014.

15.

A Systems Engineering Perspective on Homeostasis and Disease.

Vodovotz Y, An G, Androulakis IP.

Front Bioeng Biotechnol. 2013 Sep 9;1:6. eCollection 2013. Review.

16.

How implementation of systems biology into clinical trials accelerates understanding of diseases.

Bielekova B, Vodovotz Y, An G, Hallenbeck J.

Front Neurol. 2014 Jun 27;5:102. doi: 10.3389/fneur.2014.00102. eCollection 2014. Review.

17.

Minimal cut sets and the use of failure modes in metabolic networks.

Clark ST, Verwoerd WS.

Metabolites. 2012 Sep 11;2(3):567-95. doi: 10.3390/metabo2030567.

18.

Optimality principles in the regulation of metabolic networks.

Berkhout J, Bruggeman FJ, Teusink B.

Metabolites. 2012 Aug 29;2(3):529-52. doi: 10.3390/metabo2030529.

19.

Introductory review of computational cell cycle modeling.

Kriete A, Noguchi E, Sell C.

Methods Mol Biol. 2014;1170:267-75. doi: 10.1007/978-1-4939-0888-2_12. Review.

20.

Emotion: The Self-regulatory Sense.

Peil KT.

Glob Adv Health Med. 2014 Mar;3(2):80-108. doi: 10.7453/gahmj.2013.058.

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