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Volumn 31, Issue , 2012, Pages 900-904

In silico Simulation for Enhancing Production of Organic Acids in Zymomonas mobilis

Author keywords

Acetic acid; Genome scale metabolic network; Lactic acid; Succinic acid; Systems biotechnology; Zymomonas mobilis

Indexed keywords


EID: 84864524480     PISSN: 15707946     EISSN: None     Source Type: Book Series    
DOI: 10.1016/B978-0-444-59506-5.50011-0     Document Type: Chapter
Times cited : (1)

References (11)
  • 1
    • 0242487787 scopus 로고    scopus 로고
    • Optknock: A bilevel programming framework for identifying gene knockout strategies for microbial strain optimization
    • Anthony P., Burgard P., Costas P.P., Maranas D. Optknock: A bilevel programming framework for identifying gene knockout strategies for microbial strain optimization. Biotechnology and Bioengineering 2003, 84:647-657.
    • (2003) Biotechnology and Bioengineering , vol.84 , pp. 647-657
    • Anthony, P.1    Burgard, P.2    Costas, P.P.3    Maranas, D.4
  • 2
    • 77954699474 scopus 로고    scopus 로고
    • Systems metabolic engineering: Genome-scale models and beyond
    • Blazeck J., Alper H. Systems metabolic engineering: Genome-scale models and beyond. Biotechnology Journal. 2010, 5:647-659.
    • (2010) Biotechnology Journal. , vol.5 , pp. 647-659
    • Blazeck, J.1    Alper, H.2
  • 3
    • 0002628291 scopus 로고
    • Byproducts from Zymomonas mobilis
    • Johns M., et al. Byproducts from Zymomonas mobilis. Bioreactor Systems and Effects 1991, 97-121.
    • (1991) Bioreactor Systems and Effects , pp. 97-121
    • Johns, M.1
  • 4
    • 0242475329 scopus 로고    scopus 로고
    • MetaFluxNet: the management of metabolic reaction information and quantitative metabolic flux analysis
    • Lee D.-Y., et al. MetaFluxNet: the management of metabolic reaction information and quantitative metabolic flux analysis. Bioinformatics 2003, 19:2144-2146.
    • (2003) Bioinformatics , vol.19 , pp. 2144-2146
    • Lee, D.-Y.1
  • 6
    • 1242283921 scopus 로고    scopus 로고
    • Use of genome-scale microbial models for metabolic engineering
    • Patil K.R., et al. Use of genome-scale microbial models for metabolic engineering. Current Opinion in Biotechnology. 2004, 15:64-69.
    • (2004) Current Opinion in Biotechnology. , vol.15 , pp. 64-69
    • Patil, K.R.1
  • 7
    • 8744224466 scopus 로고    scopus 로고
    • OptStrain: A computational framework for redesign of microbial production systems
    • Pharkya P., et al. OptStrain: A computational framework for redesign of microbial production systems. Genome Research. 2004, 14:2367-2376.
    • (2004) Genome Research. , vol.14 , pp. 2367-2376
    • Pharkya, P.1
  • 9
    • 77950960250 scopus 로고    scopus 로고
    • OptFlux: an open-source software platform for in silico metabolic engineering
    • Rocha I., et al. OptFlux: an open-source software platform for in silico metabolic engineering. BMC Systems Biology. 2010, 4:45.
    • (2010) BMC Systems Biology. , vol.4 , pp. 45
    • Rocha, I.1
  • 11
    • 78751658356 scopus 로고    scopus 로고
    • Genome-scale modeling and in silico analysis of ethanologenic bacteria Zymomonas mobilis
    • Widiastuti H., et al. Genome-scale modeling and in silico analysis of ethanologenic bacteria Zymomonas mobilis. Biotechnology and Bioengineering. 2011, 108:655-665.
    • (2011) Biotechnology and Bioengineering. , vol.108 , pp. 655-665
    • Widiastuti, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.