Literature DB >> 12566402

Genome-scale reconstruction of the Saccharomyces cerevisiae metabolic network.

Jochen Förster1, Iman Famili, Patrick Fu, Bernhard Ø Palsson, Jens Nielsen.   

Abstract

The metabolic network in the yeast Saccharomyces cerevisiae was reconstructed using currently available genomic, biochemical, and physiological information. The metabolic reactions were compartmentalized between the cytosol and the mitochondria, and transport steps between the compartments and the environment were included. A total of 708 structural open reading frames (ORFs) were accounted for in the reconstructed network, corresponding to 1035 metabolic reactions. Further, 140 reactions were included on the basis of biochemical evidence resulting in a genome-scale reconstructed metabolic network containing 1175 metabolic reactions and 584 metabolites. The number of gene functions included in the reconstructed network corresponds to approximately 16% of all characterized ORFs in S. cerevisiae. Using the reconstructed network, the metabolic capabilities of S. cerevisiae were calculated and compared with Escherichia coli. The reconstructed metabolic network is the first comprehensive network for a eukaryotic organism, and it may be used as the basis for in silico analysis of phenotypic functions.

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Year:  2003        PMID: 12566402      PMCID: PMC420374          DOI: 10.1101/gr.234503

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  49 in total

1.  Functional analysis of 150 deletion mutants in Saccharomyces cerevisiae by a systematic approach.

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Journal:  Mol Gen Genet       Date:  1999-12

Review 2.  The yeast genome project: what did we learn?

Authors:  B Dujon
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3.  Exploring the metabolic and genetic control of gene expression on a genomic scale.

Authors:  J L DeRisi; V R Iyer; P O Brown
Journal:  Science       Date:  1997-10-24       Impact factor: 47.728

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Authors:  H W Mewes; K Albermann; K Heumann; S Liebl; F Pfeiffer
Journal:  Nucleic Acids Res       Date:  1997-01-01       Impact factor: 16.971

5.  Yeast as a model organism.

Authors:  D Botstein; S A Chervitz; J M Cherry
Journal:  Science       Date:  1997-08-29       Impact factor: 47.728

Review 6.  An overview of membrane transport proteins in Saccharomyces cerevisiae.

Authors:  B Andre
Journal:  Yeast       Date:  1995-12       Impact factor: 3.239

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Authors:  R Wieczorke; S Krampe; T Weierstall; K Freidel; C P Hollenberg; E Boles
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8.  Flux distributions in anaerobic, glucose-limited continuous cultures of Saccharomyces cerevisiae.

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  304 in total

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Review 9.  Systematizing the generation of missing metabolic knowledge.

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10.  Reconstruction and visualization of carbohydrate, N-glycosylation pathways in Pichia pastoris CBS7435 using computational and system biology approaches.

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