Literature DB >> 15102469

Use of genome-scale microbial models for metabolic engineering.

Kiran Raosaheb Patil1, Mats Akesson, Jens Nielsen.   

Abstract

Metabolic engineering serves as an integrated approach to design new cell factories by providing rational design procedures and valuable mathematical and experimental tools. Mathematical models have an important role for phenotypic analysis, but can also be used for the design of optimal metabolic network structures. The major challenge for metabolic engineering in the post-genomic era is to broaden its design methodologies to incorporate genome-scale biological data. Genome-scale stoichiometric models of microorganisms represent a first step in this direction.

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Year:  2004        PMID: 15102469     DOI: 10.1016/j.copbio.2003.11.003

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  36 in total

1.  Uncovering transcriptional regulation of metabolism by using metabolic network topology.

Authors:  Kiran Raosaheb Patil; Jens Nielsen
Journal:  Proc Natl Acad Sci U S A       Date:  2005-02-14       Impact factor: 11.205

2.  New approach for phylogenetic tree recovery based on genome-scale metabolic networks.

Authors:  Daniel Gamermann; Arnaud Montagud; J Alberto Conejero; Javier F Urchueguía; Pedro Fernández de Córdoba
Journal:  J Comput Biol       Date:  2014-03-10       Impact factor: 1.479

Review 3.  Toward design-based engineering of industrial microbes.

Authors:  Keith E J Tyo; Kanokarn Kocharin; Jens Nielsen
Journal:  Curr Opin Microbiol       Date:  2010-03-11       Impact factor: 7.934

4.  OptFlux: an open-source software platform for in silico metabolic engineering.

Authors:  Isabel Rocha; Paulo Maia; Pedro Evangelista; Paulo Vilaça; Simão Soares; José P Pinto; Jens Nielsen; Kiran R Patil; Eugénio C Ferreira; Miguel Rocha
Journal:  BMC Syst Biol       Date:  2010-04-19

5.  Gene deletion of cytosolic ATP: citrate lyase leads to altered organic acid production in Aspergillus niger.

Authors:  Susan Meijer; Michael Lynge Nielsen; Lisbeth Olsson; Jens Nielsen
Journal:  J Ind Microbiol Biotechnol       Date:  2009-06-25       Impact factor: 3.346

6.  iAK692: a genome-scale metabolic model of Spirulina platensis C1.

Authors:  Amornpan Klanchui; Chiraphan Khannapho; Atchara Phodee; Supapon Cheevadhanarak; Asawin Meechai
Journal:  BMC Syst Biol       Date:  2012-06-15

7.  Reconstruction and analysis of genome-scale metabolic model of a photosynthetic bacterium.

Authors:  Arnau Montagud; Emilio Navarro; Pedro Fernández de Córdoba; Javier F Urchueguía; Kiran Raosaheb Patil
Journal:  BMC Syst Biol       Date:  2010-11-17

8.  Improved vanillin production in baker's yeast through in silico design.

Authors:  Ana Rita Brochado; Claudia Matos; Birger L Møller; Jørgen Hansen; Uffe H Mortensen; Kiran Raosaheb Patil
Journal:  Microb Cell Fact       Date:  2010-11-08       Impact factor: 5.328

Review 9.  Genome-scale models of bacterial metabolism: reconstruction and applications.

Authors:  Maxime Durot; Pierre-Yves Bourguignon; Vincent Schachter
Journal:  FEMS Microbiol Rev       Date:  2008-12-03       Impact factor: 16.408

10.  Model-guided development of an evolutionarily stable yeast chassis.

Authors:  Filipa Pereira; Helder Lopes; Paulo Maia; Britta Meyer; Justyna Nocon; Paula Jouhten; Dimitrios Konstantinidis; Eleni Kafkia; Miguel Rocha; Peter Kötter; Isabel Rocha; Kiran R Patil
Journal:  Mol Syst Biol       Date:  2021-07       Impact factor: 11.429

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