Format
Sort by
Items per page

Send to

Choose Destination

Search results

Items: 35

1.

Model-assisted metabolic engineering of Escherichia coli for long chain alkane and alcohol production.

Fatma Z, Hartman H, Poolman MG, Fell DA, Srivastava S, Shakeel T, Yazdani SS.

Metab Eng. 2018 Mar;46:1-12. doi: 10.1016/j.ymben.2018.01.002. Epub 2018 Feb 3.

PMID:
29408291
2.

A systems-wide understanding of photosynthetic acclimation in algae and higher plants.

Moejes FW, Matuszynska A, Adhikari K, Bassi R, Cariti F, Cogne G, Dikaios I, Falciatore A, Finazzi G, Flori S, Goldschmidt-Clermont M, Magni S, Maguire J, Le Monnier A, Müller K, Poolman M, Singh D, Spelberg S, Stella GR, Succurro A, Taddei L, Urbain B, Villanova V, Zabke C, Ebenhöh O.

J Exp Bot. 2017 May 17;68(11):2667-2681. doi: 10.1093/jxb/erx137. Review.

PMID:
28830099
3.

Investigating mixotrophic metabolism in the model diatom Phaeodactylum tricornutum.

Villanova V, Fortunato AE, Singh D, Bo DD, Conte M, Obata T, Jouhet J, Fernie AR, Marechal E, Falciatore A, Pagliardini J, Le Monnier A, Poolman M, Curien G, Petroutsos D, Finazzi G.

Philos Trans R Soc Lond B Biol Sci. 2017 Sep 5;372(1728). pii: 20160404. doi: 10.1098/rstb.2016.0404.

PMID:
28717014
4.

Model-based biotechnological potential analysis of Kluyveromyces marxianus central metabolism.

Pentjuss A, Stalidzans E, Liepins J, Kokina A, Martynova J, Zikmanis P, Mozga I, Scherbaka R, Hartman H, Poolman MG, Fell DA, Vigants A.

J Ind Microbiol Biotechnol. 2017 Aug;44(8):1177-1190. doi: 10.1007/s10295-017-1946-8. Epub 2017 Apr 25.

PMID:
28444480
5.

A Genome Scale Model of Geobacillus thermoglucosidasius (C56-YS93) reveals its biotechnological potential on rice straw hydrolysate.

Ahmad A, Hartman HB, Krishnakumar S, Fell DA, Poolman MG, Srivastava S.

J Biotechnol. 2017 Jun 10;251:30-37. doi: 10.1016/j.jbiotec.2017.03.031. Epub 2017 Apr 4.

PMID:
28385593
6.

Dying at home of cancer: whose needs are being met? The experience of family carers and healthcare professionals (a multiperspective qualitative study).

Pottle J, Hiscock J, Neal RD, Poolman M.

BMJ Support Palliat Care. 2017 Jan 16. pii: bmjspcare-2016-001145. doi: 10.1136/bmjspcare-2016-001145. [Epub ahead of print]

PMID:
28093387
7.

Modelling metabolism of the diatom Phaeodactylum tricornutum.

Singh D, Carlson R, Fell D, Poolman M.

Biochem Soc Trans. 2015 Dec;43(6):1182-6. doi: 10.1042/BST20150152. Review.

PMID:
26614658
8.

A genome-scale metabolic network reconstruction of tomato (Solanum lycopersicum L.) and its application to photorespiratory metabolism.

Yuan H, Cheung CY, Poolman MG, Hilbers PA, van Riel NA.

Plant J. 2016 Jan;85(2):289-304. doi: 10.1111/tpj.13075. Epub 2016 Jan 4.

9.

Metabolic trade-offs between biomass synthesis and photosynthate export at different light intensities in a genome-scale metabolic model of rice.

Poolman MG, Kundu S, Shaw R, Fell DA.

Front Plant Sci. 2014 Nov 28;5:656. doi: 10.3389/fpls.2014.00656. eCollection 2014.

10.

Identification of metabolic pathways essential for fitness of Salmonella Typhimurium in vivo.

Jelsbak L, Hartman H, Schroll C, Rosenkrantz JT, Lemire S, Wallrodt I, Thomsen LE, Poolman M, Kilstrup M, Jensen PR, Olsen JE.

PLoS One. 2014 Jul 3;9(7):e101869. doi: 10.1371/journal.pone.0101869. eCollection 2014.

11.

Identification of potential drug targets in Salmonella enterica sv. Typhimurium using metabolic modelling and experimental validation.

Hartman HB, Fell DA, Rossell S, Jensen PR, Woodward MJ, Thorndahl L, Jelsbak L, Olsen JE, Raghunathan A, Daefler S, Poolman MG.

Microbiology. 2014 Jun;160(Pt 6):1252-1266. doi: 10.1099/mic.0.076091-0. Epub 2014 Apr 28.

PMID:
24777662
12.

Community-based treatment of drug-resistant tuberculosis in Khayelitsha, South Africa.

Cox H, Hughes J, Daniels J, Azevedo V, McDermid C, Poolman M, Boulle A, Goemaere E, van Cutsem G.

Int J Tuberc Lung Dis. 2014 Apr;18(4):441-8. doi: 10.5588/ijtld.13.0742.

PMID:
24670700
13.

Cordotomy in mesothelioma-related pain: a systematic review.

France BD, Lewis RA, Sharma ML, Poolman M.

BMJ Support Palliat Care. 2014 Mar;4(1):19-29. doi: 10.1136/bmjspcare-2013-000508. Epub 2013 Sep 18. Review.

PMID:
24644767
14.

A Diel Flux Balance Model Captures Interactions between Light and Dark Metabolism during Day-Night Cycles in C3 and Crassulacean Acid Metabolism Leaves.

Cheung CY, Poolman MG, Fell DA, Ratcliffe RG, Sweetlove LJ.

Plant Physiol. 2014 Jun;165(2):917-929. Epub 2014 Mar 4.

15.

Neuropsychological factors related to college ice hockey concussions.

Pedersen HA, Ferraro FR, Himle M, Schultz C, Poolman M.

Am J Alzheimers Dis Other Demen. 2014 May;29(3):201-4. doi: 10.1177/1533317513517036. Epub 2013 Dec 26.

PMID:
24370620
16.

Meta-analysis using a novel database, miRStress, reveals miRNAs that are frequently associated with the radiation and hypoxia stress-responses.

Jacobs LA, Bewicke-Copley F, Poolman MG, Pink RC, Mulcahy LA, Baker I, Beaman EM, Brooks T, Caley DP, Cowling W, Currie JM, Horsburgh J, Kenehan L, Keyes E, Leite D, Massa D, McDermott-Rouse A, Samuel P, Wood H, Kadhim M, Carter DR.

PLoS One. 2013 Nov 14;8(11):e80844. doi: 10.1371/journal.pone.0080844. eCollection 2013.

17.

A method for accounting for maintenance costs in flux balance analysis improves the prediction of plant cell metabolic phenotypes under stress conditions.

Cheung CY, Williams TC, Poolman MG, Fell DA, Ratcliffe RG, Sweetlove LJ.

Plant J. 2013 Sep;75(6):1050-61. doi: 10.1111/tpj.12252. Epub 2013 Aug 6.

18.

Responses to light intensity in a genome-scale model of rice metabolism.

Poolman MG, Kundu S, Shaw R, Fell DA.

Plant Physiol. 2013 Jun;162(2):1060-72. doi: 10.1104/pp.113.216762. Epub 2013 May 2.

19.

Building and analysing genome-scale metabolic models.

Fell DA, Poolman MG, Gevorgyan A.

Biochem Soc Trans. 2010 Oct;38(5):1197-201. doi: 10.1042/BST0381197.

PMID:
20863283
20.

A genome-scale metabolic model accurately predicts fluxes in central carbon metabolism under stress conditions.

Williams TC, Poolman MG, Howden AJ, Schwarzlander M, Fell DA, Ratcliffe RG, Sweetlove LJ.

Plant Physiol. 2010 Sep;154(1):311-23. doi: 10.1104/pp.110.158535. Epub 2010 Jul 6.

21.

A genome-scale metabolic model of Arabidopsis and some of its properties.

Poolman MG, Miguet L, Sweetlove LJ, Fell DA.

Plant Physiol. 2009 Nov;151(3):1570-81. doi: 10.1104/pp.109.141267. Epub 2009 Sep 15.

22.

Contribution of NADH increases to ethanol's inhibition of retinol oxidation by human ADH isoforms.

Chase JR, Poolman MG, Fell DA.

Alcohol Clin Exp Res. 2009 Apr;33(4):571-80. doi: 10.1111/j.1530-0277.2008.00871.x. Epub 2009 Jan 16.

23.

Detection of stoichiometric inconsistencies in biomolecular models.

Gevorgyan A, Poolman MG, Fell DA.

Bioinformatics. 2008 Oct 1;24(19):2245-51. doi: 10.1093/bioinformatics/btn425. Epub 2008 Aug 12.

PMID:
18697772
24.

Modular decomposition of metabolic systems via null-space analysis.

Poolman MG, Sebu C, Pidcock MK, Fell DA.

J Theor Biol. 2007 Dec 21;249(4):691-705. Epub 2007 Aug 19.

PMID:
17949756
25.

Challenges to be faced in the reconstruction of metabolic networks from public databases.

Poolman MG, Bonde BK, Gevorgyan A, Patel HH, Fell DA.

Syst Biol (Stevenage). 2006 Sep;153(5):379-84.

PMID:
16986322
26.

ScrumPy: metabolic modelling with Python.

Poolman MG.

Syst Biol (Stevenage). 2006 Sep;153(5):375-8.

PMID:
16986321
27.

A method for the determination of flux in elementary modes, and its application to Lactobacillus rhamnosus.

Poolman MG, Venkatesh KV, Pidcock MK, Fell DA.

Biotechnol Bioeng. 2004 Dec 5;88(5):601-12.

PMID:
15470705
28.

Applications of metabolic modelling to plant metabolism.

Poolman MG, Assmus HE, Fell DA.

J Exp Bot. 2004 May;55(400):1177-86. Epub 2004 Apr 8.

PMID:
15073223
29.

Elementary modes analysis of photosynthate metabolism in the chloroplast stroma.

Poolman MG, Fell DA, Raines CA.

Eur J Biochem. 2003 Feb;270(3):430-9.

30.

Metabolic control analysis of anaerobic glycolysis in human hibernating myocardium replaces traditional concepts of flux control.

Vogt AM, Nef H, Schaper J, Poolman M, Fell DA, Kübler W, Elsässer A.

FEBS Lett. 2002 Apr 24;517(1-3):245-50.

31.

Regulation of glycolytic flux in ischemic preconditioning. A study employing metabolic control analysis.

Vogt AM, Poolman M, Ackermann C, Yildiz M, Schoels W, Fell DA, Kubler W.

J Biol Chem. 2002 Jul 5;277(27):24411-9. Epub 2002 May 2.

32.

Computer modelling and experimental evidence for two steady states in the photosynthetic Calvin cycle.

Poolman MG, Olçer H, Lloyd JC, Raines CA, Fell DA.

Eur J Biochem. 2001 May;268(10):2810-6.

33.

Awareness of HIV infection among pregnant women attending the Elsies River Antenatal Clinic.

du Plessis JK, Muller JB, Poolman M, Viljoen K, Barnes JM, Cotton MF.

S Afr Med J. 2000 Jul;90(7):693-6. No abstract available.

PMID:
10985128
34.

Modelling photosynthesis and its control.

Poolman MG, Fell DA, Thomas S.

J Exp Bot. 2000 Feb;51 Spec No:319-28.

PMID:
10938839
35.

Reply from e-d. Schulze.

Thomas S, Moniz-Barreto JP, Fell DA, Woods JH, Poolman MG.

Trends Ecol Evol. 1995 Jun;10(6):245. No abstract available.

PMID:
21237023

Supplemental Content

Loading ...
Support Center