BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

247 related articles for article (PubMed ID: 21949695)

  • 1. Large-scale bi-level strain design approaches and mixed-integer programming solution techniques.
    Kim J; Reed JL; Maravelias CT
    PLoS One; 2011; 6(9):e24162. PubMed ID: 21949695
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Evolutionary programming as a platform for in silico metabolic engineering.
    Patil KR; Rocha I; Förster J; Nielsen J
    BMC Bioinformatics; 2005 Dec; 6():308. PubMed ID: 16375763
    [TBL] [Abstract][Full Text] [Related]  

  • 3. OptORF: Optimal metabolic and regulatory perturbations for metabolic engineering of microbial strains.
    Kim J; Reed JL
    BMC Syst Biol; 2010 Apr; 4():53. PubMed ID: 20426856
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Adaptive bi-level programming for optimal gene knockouts for targeted overproduction under phenotypic constraints.
    Ren S; Zeng B; Qian X
    BMC Bioinformatics; 2013; 14 Suppl 2(Suppl 2):S17. PubMed ID: 23368729
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Escherichia coli genome-scale metabolic gene knockout of lactate dehydrogenase (ldhA), increases succinate production from glycerol.
    Mienda BS
    J Biomol Struct Dyn; 2018 Nov; 36(14):3680-3686. PubMed ID: 29057718
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Robust mutant strain design by pessimistic optimization.
    Apaydin M; Xu L; Zeng B; Qian X
    BMC Genomics; 2017 Oct; 18(Suppl 6):677. PubMed ID: 28984191
    [TBL] [Abstract][Full Text] [Related]  

  • 7. In silico deletion of PtsG gene in Escherichia coli genome-scale model predicts increased succinate production from glycerol.
    Mienda BS; Shamsir MS
    J Biomol Struct Dyn; 2015; 33(11):2380-9. PubMed ID: 25921851
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A hybrid of Cuckoo Search and Minimization of Metabolic Adjustment to optimize metabolites production in genome-scale models.
    Arif MA; Mohamad MS; Abd Latif MS; Deris S; Remli MA; Mohd Daud K; Ibrahim Z; Omatu S; Corchado JM
    Comput Biol Med; 2018 Nov; 102():112-119. PubMed ID: 30267898
    [TBL] [Abstract][Full Text] [Related]  

  • 9. SSDesign: Computational metabolic pathway design based on flux variability using elementary flux modes.
    Toya Y; Shiraki T; Shimizu H
    Biotechnol Bioeng; 2015 Apr; 112(4):759-68. PubMed ID: 25408191
    [TBL] [Abstract][Full Text] [Related]  

  • 10. ReacKnock: identifying reaction deletion strategies for microbial strain optimization based on genome-scale metabolic network.
    Xu Z; Zheng P; Sun J; Ma Y
    PLoS One; 2013; 8(12):e72150. PubMed ID: 24348984
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Flux-sum analysis identifies metabolite targets for strain improvement.
    Lakshmanan M; Kim TY; Chung BK; Lee SY; Lee DY
    BMC Syst Biol; 2015 Oct; 9():73. PubMed ID: 26510838
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Truncated branch and bound achieves efficient constraint-based genetic design.
    Egen D; Lun DS
    Bioinformatics; 2012 Jun; 28(12):1619-23. PubMed ID: 22543499
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Enumeration of smallest intervention strategies in genome-scale metabolic networks.
    von Kamp A; Klamt S
    PLoS Comput Biol; 2014 Jan; 10(1):e1003378. PubMed ID: 24391481
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Constraint-based strain design using continuous modifications (CosMos) of flux bounds finds new strategies for metabolic engineering.
    Cotten C; Reed JL
    Biotechnol J; 2013 May; 8(5):595-604. PubMed ID: 23703951
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Designing optimal cell factories: integer programming couples elementary mode analysis with regulation.
    Jungreuthmayer C; Zanghellini J
    BMC Syst Biol; 2012 Aug; 6():103. PubMed ID: 22898474
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Model-assisted formate dehydrogenase-O (fdoH) gene knockout for enhanced succinate production in Escherichia coli from glucose and glycerol carbon sources.
    Mienda BS; Shamsir MS; Md Illias R
    J Biomol Struct Dyn; 2016 Nov; 34(11):2305-16. PubMed ID: 26510527
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Model-aided atpE gene knockout strategy in Escherichia coli for enhanced succinic acid production from glycerol.
    Mienda BS; Shamsir MS; Md Illias R
    J Biomol Struct Dyn; 2016 Aug; 34(8):1705-16. PubMed ID: 26513379
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Microbial Cell Factories à
    Egoburo DE; Diaz Peña R; Alvarez DS; Godoy MS; Mezzina MP; Pettinari MJ
    Appl Environ Microbiol; 2018 Oct; 84(19):. PubMed ID: 30030227
    [TBL] [Abstract][Full Text] [Related]  

  • 19. EMILiO: a fast algorithm for genome-scale strain design.
    Yang L; Cluett WR; Mahadevan R
    Metab Eng; 2011 May; 13(3):272-81. PubMed ID: 21414417
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Natural computation meta-heuristics for the in silico optimization of microbial strains.
    Rocha M; Maia P; Mendes R; Pinto JP; Ferreira EC; Nielsen J; Patil KR; Rocha I
    BMC Bioinformatics; 2008 Nov; 9():499. PubMed ID: 19038030
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.