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Items: 7

1.

Interplay between constraints, objectives, and optimality for genome-scale stoichiometric models.

Maarleveld TR, Wortel MT, Olivier BG, Teusink B, Bruggeman FJ.

PLoS Comput Biol. 2015 Apr 7;11(4):e1004166. doi: 10.1371/journal.pcbi.1004166. eCollection 2015 Apr.

2.

Mechanistic stochastic model of histone modification pattern formation.

Anink-Groenen LC, Maarleveld TR, Verschure PJ, Bruggeman FJ.

Epigenetics Chromatin. 2014 Oct 27;7(1):30. doi: 10.1186/1756-8935-7-30. eCollection 2014.

3.

Stochastic simulation of prokaryotic two-component signalling indicates stochasticity-induced active-state locking and growth-rate dependent bistability.

Wei K, Moinat M, Maarleveld TR, Bruggeman FJ.

Mol Biosyst. 2014 Jul 29;10(9):2338-46. doi: 10.1039/c4mb00264d.

PMID:
24955938
4.

A data integration and visualization resource for the metabolic network of Synechocystis sp. PCC 6803.

Maarleveld TR, Boele J, Bruggeman FJ, Teusink B.

Plant Physiol. 2014 Mar;164(3):1111-21. doi: 10.1104/pp.113.224394. Epub 2014 Jan 8.

5.

StochPy: a comprehensive, user-friendly tool for simulating stochastic biological processes.

Maarleveld TR, Olivier BG, Bruggeman FJ.

PLoS One. 2013 Nov 18;8(11):e79345. doi: 10.1371/journal.pone.0079345. eCollection 2013.

6.

Basic concepts and principles of stoichiometric modeling of metabolic networks.

Maarleveld TR, Khandelwal RA, Olivier BG, Teusink B, Bruggeman FJ.

Biotechnol J. 2013 Sep;8(9):997-1008. doi: 10.1002/biot.201200291. Epub 2013 Jul 29. Review.

7.

Exploration of the spontaneous fluctuating activity of single enzyme molecules.

Schwabe A, Maarleveld TR, Bruggeman FJ.

FEBS Lett. 2013 Sep 2;587(17):2744-52. doi: 10.1016/j.febslet.2013.07.005. Epub 2013 Jul 12.

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