Format
Items per page
Sort by

Send to:

Choose Destination

Search results

Items: 1 to 20 of 49

1.

A quantitative evaluation of ethylene production in the recombinant cyanobacterium Synechocystis sp. PCC 6803 harboring the ethylene-forming enzyme by membrane inlet mass spectrometry.

Zavřel T, Knoop H, Steuer R, Jones PR, Červený J, Trtílek M.

Bioresour Technol. 2016 Feb;202:142-51. doi: 10.1016/j.biortech.2015.11.062. Epub 2015 Dec 2.

PMID:
26708481
2.

Resource allocation in metabolic networks: kinetic optimization and approximations by FBA.

Müller S, Regensburger G, Steuer R.

Biochem Soc Trans. 2015 Dec;43(6):1195-200. doi: 10.1042/BST20150156. Review.

PMID:
26614660
3.

Elucidating temporal resource allocation and diurnal dynamics in phototrophic metabolism using conditional FBA.

Rügen M, Bockmayr A, Steuer R.

Sci Rep. 2015 Oct 26;5:15247. doi: 10.1038/srep15247.

4.

An algorithm for the reduction of genome-scale metabolic network models to meaningful core models.

Erdrich P, Steuer R, Klamt S.

BMC Syst Biol. 2015 Aug 19;9:48. doi: 10.1186/s12918-015-0191-x.

5.

A computational analysis of stoichiometric constraints and trade-offs in cyanobacterial biofuel production.

Knoop H, Steuer R.

Front Bioeng Biotechnol. 2015 Apr 20;3:47. doi: 10.3389/fbioe.2015.00047. eCollection 2015.

6.

Identification of the light-independent phosphoserine pathway as an additional source of serine in the cyanobacterium Synechocystis sp. PCC 6803.

Klemke F, Baier A, Knoop H, Kern R, Jablonsky J, Beyer G, Volkmer T, Steuer R, Lockau W, Hagemann M.

Microbiology. 2015 May;161(Pt 5):1050-60. doi: 10.1099/mic.0.000055. Epub 2015 Feb 20.

PMID:
25701735
7.

Cyanobacterial biofuels: new insights and strain design strategies revealed by computational modeling.

Erdrich P, Knoop H, Steuer R, Klamt S.

Microb Cell Fact. 2014 Sep 19;13:128. doi: 10.1186/s12934-014-0128-x.

8.

Monte-Carlo modeling of the central carbon metabolism of Lactococcus lactis: insights into metabolic regulation.

Murabito E, Verma M, Bekker M, Bellomo D, Westerhoff HV, Teusink B, Steuer R.

PLoS One. 2014 Sep 30;9(9):e106453. doi: 10.1371/journal.pone.0106453. eCollection 2014. Erratum in: PLoS One. 2014;9(10):e112204. PLoS One. 2014;9(12):e116129.

9.

Elucidating the adaptation and temporal coordination of metabolic pathways using in-silico evolution.

Gottstein W, Müller S, Herzel H, Steuer R.

Biosystems. 2014 Mar;117:68-76. doi: 10.1016/j.biosystems.2013.12.006. Epub 2014 Jan 15.

PMID:
24440082
10.

Enzyme allocation problems in kinetic metabolic networks: optimal solutions are elementary flux modes.

Müller S, Regensburger G, Steuer R.

J Theor Biol. 2014 Apr 21;347:182-90. doi: 10.1016/j.jtbi.2013.11.015. Epub 2013 Dec 1.

PMID:
24295962
11.

Flux balance analysis of cyanobacterial metabolism: the metabolic network of Synechocystis sp. PCC 6803.

Knoop H, Gründel M, Zilliges Y, Lehmann R, Hoffmann S, Lockau W, Steuer R.

PLoS Comput Biol. 2013;9(6):e1003081. doi: 10.1371/journal.pcbi.1003081. Epub 2013 Jun 27.

12.

How cyanobacteria pose new problems to old methods: challenges in microarray time series analysis.

Lehmann R, Machné R, Georg J, Benary M, Axmann I, Steuer R.

BMC Bioinformatics. 2013 Apr 21;14:133. doi: 10.1186/1471-2105-14-133.

13.

Physiological tolerance and stoichiometric potential of cyanobacteria for hydrocarbon fuel production.

Kämäräinen J, Knoop H, Stanford NJ, Guerrero F, Akhtar MK, Aro EM, Steuer R, Jones PR.

J Biotechnol. 2012 Nov 30;162(1):67-74. doi: 10.1016/j.jbiotec.2012.07.193. Epub 2012 Aug 29.

PMID:
22954891
14.

Modelling cyanobacteria: from metabolism to integrative models of phototrophic growth.

Steuer R, Knoop H, Machné R.

J Exp Bot. 2012 Mar;63(6):2259-74. doi: 10.1093/jxb/ers018. Review.

15.

The diversity of cyanobacterial metabolism: genome analysis of multiple phototrophic microorganisms.

Beck C, Knoop H, Axmann IM, Steuer R.

BMC Genomics. 2012 Feb 2;13:56. doi: 10.1186/1471-2164-13-56.

16.

Robust signal processing in living cells.

Steuer R, Waldherr S, Sourjik V, Kollmann M.

PLoS Comput Biol. 2011 Nov;7(11):e1002218. doi: 10.1371/journal.pcbi.1002218. Epub 2011 Nov 17.

17.

A probabilistic approach to identify putative drug targets in biochemical networks.

Murabito E, Smallbone K, Swinton J, Westerhoff HV, Steuer R.

J R Soc Interface. 2011 Jun 6;8(59):880-95. doi: 10.1098/rsif.2010.0540. Epub 2010 Dec 1.

18.

The metabolic network of Synechocystis sp. PCC 6803: systemic properties of autotrophic growth.

Knoop H, Zilliges Y, Lockau W, Steuer R.

Plant Physiol. 2010 Sep;154(1):410-22. doi: 10.1104/pp.110.157198. Epub 2010 Jul 8.

19.

SulfoSYS (Sulfolobus Systems Biology): towards a silicon cell model for the central carbohydrate metabolism of the archaeon Sulfolobus solfataricus under temperature variation.

Albers SV, Birkeland NK, Driessen AJ, Gertig S, Haferkamp P, Klenk HP, Kouril T, Manica A, Pham TK, Ruoff P, Schleper C, Schomburg D, Sharkey KJ, Siebers B, Sierocinski P, Steuer R, van der Oost J, Westerhoff HV, Wieloch P, Wright PC, Zaparty M.

Biochem Soc Trans. 2009 Feb;37(Pt 1):58-64. doi: 10.1042/BST0370058.

PMID:
19143602
20.

The stability and robustness of metabolic states: identifying stabilizing sites in metabolic networks.

Grimbs S, Selbig J, Bulik S, Holzhütter HG, Steuer R.

Mol Syst Biol. 2007;3:146. Epub 2007 Nov 13.

Format
Items per page
Sort by

Send to:

Choose Destination

Supplemental Content

Loading ...
Write to the Help Desk