메뉴 건너뛰기




Volumn 14, Issue , 2013, Pages

Adaptive bi-level programming for optimal gene knockouts for targeted overproduction under phenotypic constraints

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ESCHERICHIA COLI; GENES; GENETIC PROGRAMMING; LINEARIZATION; METABOLIC ENGINEERING; METABOLISM; OPTIMIZATION; QUADRATIC PROGRAMMING;

EID: 84881493893     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-14-S2-S17     Document Type: Article
Times cited : (47)

References (19)
  • 1
    • 0035852623 scopus 로고    scopus 로고
    • Metabolic engineering of bacteria for environmental applications: Construction of Pseudomonas strains for biodegradation of 2-chlorotoluene
    • Haro M, de LV: Metabolic engineering of bacteria for environmental applications: Construction of Pseudomonas strains for biodegradation of 2-chlorotoluene. J Biotechnol 2001, 85:103-113.
    • (2001) J Biotechnol , vol.85 , pp. 103-113
    • Haro, M.L.V.1
  • 2
    • 79959855424 scopus 로고    scopus 로고
    • Metabolic engineering of algae for fourth generation biofuels production
    • Lu J, Sheahan C, Fu P: Metabolic engineering of algae for fourth generation biofuels production. Energy Environ Sci 2011, 4:2451-2466.
    • (2011) Energy Environ Sci , vol.4 , pp. 2451-2466
    • Lu, J.1    Sheahan, C.2    Fu, P.3
  • 3
    • 33644832381 scopus 로고    scopus 로고
    • In silico aided metabolic engineering of Saccharomyces cerevisiae for improved bioethanol production
    • Broa C, Regenberga B, Förster J, Nielsen J: In silico aided metabolic engineering of Saccharomyces cerevisiae for improved bioethanol production. Metabolic Engineering 2006, 8:102-111.
    • (2006) Metabolic Engineering , vol.8 , pp. 102-111
    • Broa, C.1    Regenberga, B.2    Förster, J.3    Nielsen, J.4
  • 7
    • 29144484729 scopus 로고    scopus 로고
    • Metabolic Engineering of Escherichia coli for En-hanced Production of Succinic Acid, Based on Genome Comparison and in silico Gene Knockout Simulation
    • Lee SJ, Lee DY, Kim TY, Kim BH, Lee J, Lee SY: Metabolic Engineering of Escherichia coli for En-hanced Production of Succinic Acid, Based on Genome Comparison and in silico Gene Knockout Simulation. Applied and Environmental Microbiology 2005, 71:7880-7887.
    • (2005) Applied and Environmental Microbiology , vol.71 , pp. 7880-7887
    • Lee, S.J.1    Lee, D.Y.2    Kim, T.Y.3    Kim, B.H.4    Lee, J.5    Lee, S.Y.6
  • 9
    • 33749135705 scopus 로고    scopus 로고
    • Systems biology as a foundation for genome-scale synthetic biology
    • Barrett C, Kim T, Kim H, Palsson B, Lee S: Systems biology as a foundation for genome-scale synthetic biology. Curr Opin Biotechnol 2006, 17:488-492.
    • (2006) Curr Opin Biotechnol , vol.17 , pp. 488-492
    • Barrett, C.1    Kim, T.2    Kim, H.3    Palsson, B.4    Lee, S.5
  • 10
    • 0037313750 scopus 로고    scopus 로고
    • Genome-scale reconstruction of the Saccharomyces cerevisiae metabolic network
    • Förster J, Famili I, Fu P, Palsson B, Nielsen J: Genome-scale reconstruction of the Saccharomyces cerevisiae metabolic network. Genome Res 2003, 13:244-253.
    • (2003) Genome Res , vol.13 , pp. 244-253
    • Förster, J.1    Famili, I.2    Fu, P.3    Palsson, B.4    Nielsen, J.5
  • 11
    • 0037069467 scopus 로고    scopus 로고
    • Analysis of optimality in natural and perturbed metabolic networks
    • Segre D, Vitkup D, Church G: Analysis of optimality in natural and perturbed metabolic networks. Proc Natl Acad Sci USA 2002, 99:15112-15117.
    • (2002) Proc Natl Acad Sci USA , vol.99 , pp. 15112-15117
    • Segre, D.1    Vitkup, D.2    Church, G.3
  • 12
    • 19644386033 scopus 로고    scopus 로고
    • Regulatory on/off minimization of metabolic flux changes after genetic perturbations
    • Shlomi T, Berkman O, Ruppin E: Regulatory on/off minimization of metabolic flux changes after genetic perturbations. Proc Natl Acad Sci USA 2005, 102:7695-7700.
    • (2005) Proc Natl Acad Sci USA , vol.102 , pp. 7695-7700
    • Shlomi, T.1    Berkman, O.2    Ruppin, E.3
  • 13
    • 0242487787 scopus 로고    scopus 로고
    • OptKnock: A bi-level programming framework for identifying gene knockout strategies for microbial strain optimization
    • Burgard A, Pharkya P, Maranas C: OptKnock: A bi-level programming framework for identifying gene knockout strategies for microbial strain optimization. Biotechnol Bioeng 2003, 84:647-657.
    • (2003) Biotechnol Bioeng , vol.84 , pp. 647-657
    • Burgard, A.1    Pharkya, P.2    Maranas, C.3
  • 14
    • 0028108519 scopus 로고
    • Metabolic flux balancing: Basic concepts, scientific and practical use
    • Varma A, Palsson B: Metabolic flux balancing: Basic concepts, scientific and practical use. Bio/Technology 1994, 12:994-998.
    • (1994) Bio/Technology , vol.12 , pp. 994-998
    • Varma, A.1    Palsson, B.2
  • 15
    • 0034625143 scopus 로고    scopus 로고
    • The Escherichia coli MG1655 in silico metabolic genotype: Its definition, characteristics, and capabilities
    • Edwards JS, Palsson BO: The Escherichia coli MG1655 in silico metabolic genotype: Its definition, characteristics, and capabilities. Proc Natl Acad Sci USA 2000, 97:5528-5533.
    • (2000) Proc Natl Acad Sci USA , vol.97 , pp. 5528-5533
    • Edwards, J.S.1    Palsson, B.O.2
  • 17
    • 84920624193 scopus 로고    scopus 로고
    • IBM ILOG CPLEX Optimizer. [http://www-01.ibm.com/software/integration/ optimization/cplex-optimizer/].
  • 18
    • 34249297627 scopus 로고    scopus 로고
    • Metabolic flux analysis in a non-stationary system: Fed-batch fermentation of a high yielding strain of E coli producing 1,3-propanediol
    • Antoniewicz MR, Kraynie DF, Laffend LA, Joanna G, Joanne KK, Stephanopoulos Gregory: Metabolic flux analysis in a non-stationary system: Fed-batch fermentation of a high yielding strain of E. coli producing 1,3-propanediol. Genome Res 2007, 9(3):277-292.
    • (2007) Genome Res , vol.9 , Issue.3 , pp. 277-292
    • Antoniewicz, M.R.1    Kraynie, D.F.2    Laffend, L.A.3    Joanna, G.4    Joanne, K.K.5    Stephanopoulos, Gregory.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.