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Items: 1 to 20 of 155

1.

UP-DOWN cortical dynamics reflect state transitions in a bistable network.

Jercog D, Roxin A, Barthó P, Luczak A, Compte A, de la Rocha J.

Elife. 2017 Aug 4;6. pii: e22425. doi: 10.7554/eLife.22425.

2.

A Tug-of-War Mechanism for Pattern Formation in a Genetic Network.

Gomez MM, Arcak M.

ACS Synth Biol. 2017 Nov 17;6(11):2056-2066. doi: 10.1021/acssynbio.7b00077. Epub 2017 Aug 15.

3.

Ultrasensitivity in signaling cascades revisited: Linking local and global ultrasensitivity estimations.

Altszyler E, Ventura AC, Colman-Lerner A, Chernomoretz A.

PLoS One. 2017 Jun 29;12(6):e0180083. doi: 10.1371/journal.pone.0180083. eCollection 2017.

4.

Pulse Generation in the Quorum Machinery of Pseudomonas aeruginosa.

Alfiniyah C, Bees MA, Wood AJ.

Bull Math Biol. 2017 Jun;79(6):1360-1389. doi: 10.1007/s11538-017-0288-z. Epub 2017 May 19.

5.

Optically levitated nanoparticle as a model system for stochastic bistable dynamics.

Ricci F, Rica RA, Spasenović M, Gieseler J, Rondin L, Novotny L, Quidant R.

Nat Commun. 2017 May 9;8:15141. doi: 10.1038/ncomms15141.

6.

Engineering of a synthetic quadrastable gene network to approach Waddington landscape and cell fate determination.

Wu F, Su RQ, Lai YC, Wang X.

Elife. 2017 Apr 11;6. pii: e23702. doi: 10.7554/eLife.23702.

7.

Chemical Reaction Network Theory elucidates sources of multistability in interferon signaling.

Otero-Muras I, Yordanov P, Stelling J.

PLoS Comput Biol. 2017 Apr 3;13(4):e1005454. doi: 10.1371/journal.pcbi.1005454. eCollection 2017 Apr.

8.

Organization of biogeochemical nitrogen pathways with switch-like adjustment in fluctuating soil redox conditions.

Lamba S, Bera S, Rashid M, Medvinsky AB, Sun GQ, Acquisti C, Chakraborty A, Li BL.

R Soc Open Sci. 2017 Jan 11;4(1):160768. doi: 10.1098/rsos.160768. eCollection 2017 Jan.

9.

Model-based control of the temporal patterns of intracellular signaling in silico.

Murakami Y, Koyama M, Oba S, Kuroda S, Ishii S.

Biophys Physicobiol. 2017 Feb 22;14:29-40. doi: 10.2142/biophysico.14.0_29. eCollection 2017.

10.

CMIP: a software package capable of reconstructing genome-wide regulatory networks using gene expression data.

Zheng G, Xu Y, Zhang X, Liu ZP, Wang Z, Chen L, Zhu XG.

BMC Bioinformatics. 2016 Dec 23;17(Suppl 17):535. doi: 10.1186/s12859-016-1324-y.

11.

Cell signaling as a cognitive process.

Koseska A, Bastiaens PI.

EMBO J. 2017 Mar 1;36(5):568-582. doi: 10.15252/embj.201695383. Epub 2017 Jan 30. Review.

PMID:
28137748
13.

Efficient Switches in Biology and Computer Science.

Cardelli L, Hernansaiz-Ballesteros RD, Dalchau N, Csikász-Nagy A.

PLoS Comput Biol. 2017 Jan 5;13(1):e1005100. doi: 10.1371/journal.pcbi.1005100. eCollection 2017 Jan. No abstract available.

14.
15.

Contribution of Post-translational Phosphorylation to Sarcomere-Linked Cardiomyopathy Phenotypes.

Westfall MV.

Front Physiol. 2016 Sep 14;7:407. doi: 10.3389/fphys.2016.00407. eCollection 2016.

16.

A Regulated Double-Negative Feedback Decodes the Temporal Gradient of Input Stimulation in a Cell Signaling Network.

Park SM, Shin SY, Cho KH.

PLoS One. 2016 Sep 1;11(9):e0162153. doi: 10.1371/journal.pone.0162153. eCollection 2016.

17.

Control theory meets synthetic biology.

Del Vecchio D, Dy AJ, Qian Y.

J R Soc Interface. 2016 Jul;13(120). pii: 20160380. doi: 10.1098/rsif.2016.0380. Epub 2016 Jul 20. Review.

18.

Realization of tristability in a multiplicatively coupled dual-loop genetic network.

Huang B, Xia Y, Liu F, Wang W.

Sci Rep. 2016 Jul 5;6:28096. doi: 10.1038/srep28096.

19.

Bifurcation-based approach reveals synergism and optimal combinatorial perturbation.

Liu Y, Li S, Liu Z, Wang R.

J Biol Phys. 2016 Jun;42(3):399-414. doi: 10.1007/s10867-016-9414-7. Epub 2016 Apr 14.

20.

Modeling the effects of positive and negative feedback in kidney blood flow control.

Liu R, Layton AT.

Math Biosci. 2016 Jun;276:8-18. doi: 10.1016/j.mbs.2016.02.007. Epub 2016 Mar 10.

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