BMC Systems Biology

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The genome-scale metabolic model iIN800 of Saccharomyces cerevisiae and its validation: a scaffold to query lipid metabolism

Intawat Nookaew, Michael C Jewett, Asawin Meechai, Chinae Thammarongtham, Kobkul Laoteng, Supapon Cheevadhanarak, Jens Nielsen* and Sakarindr Bhumiratana*

BMC Systems Biology 2008, 2:71 doi:10.1186/1752-0509-2-71

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Genome-scale metabolic reconstructions of Pichia stipitis and Pichia pastoris and in silico evaluation of their potentials

Luis Caspeta, Saeed Shoaie, Rasmus Agren, Intawat Nookaew, Jens Nielsen BMC Systems Biology 2012, 6:24 (4 April 2012)

A new genome-scale metabolic model of the industrially important yeast species Pichia stipitis and Pichia pastoris enables the modeling of growth on xylose, which is essential to optimising the production of ethanol from biomass.

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Whole genome sequencing of Saccharomyces cerevisiae: from genotype to phenotype for improved metabolic engineering applications

José Otero, Wanwipa Vongsangnak, Mohammad A Asadollahi, Roberto Olivares-Hernandes, Jérôme Maury, Laurent Farinelli, Loïc Barlocher, Magne Østerås, Michel Schalk, Anthony Clark, Jens Nielsen BMC Genomics 2010, 11:723 (22 December 2010)

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Connecting extracellular metabolomic measurements to intracellular flux states in yeast

Monica L Mo, Bernhard Ø Palsson, Markus J Herrgård BMC Systems Biology 2009, 3:37 (25 March 2009)