Quantitative prediction of genome-wide resource allocation in bacteria

Metabolic Engineering

Volumn 32, Issue , 2015, Pages 232-243

  Goelzer, Anne ^a   Muntel, Jan ^b,e   Chubukov, Victor ^c   Jules, Matthieu ^d   Prestel, Eric ^d   Nölker, Rolf ^b   Mariadassou, Mahendra ^a   Aymerich, Stéphane ^d   Hecker, Michael ^b   Noirot, Philippe ^d,f   Becher, Dörte ^b   Fromion, Vincent ^a  

^a INRA Institut National de la Recherche Agronomique   (France)

^b UNIVERSITY OF GREIFSWALD   (Germany)

^c ETH ZURICH   (Switzerland)

^d UMR1319 MICALIS   (France)

^e BOSTON CHILDREN S HOSPITAL   (United States)

^f ARGONNE NATIONAL LABORATORY   (United States)

Author keywords

Constraint based modeling; Resource allocation; Strain design; Systems biology

Indexed keywords

BACTERIA; BACTERIOLOGY; CALIBRATION; FORECASTING; GENES; PROTEINS;

BIOTECHNOLOGICAL APPLICATIONS; COMPUTATIONAL CHALLENGES; CONSTRAINT-BASED MODELING; PROOF OF PRINCIPLES; PROTEIN PRODUCTION; PROTEIN QUANTIFICATION; QUANTITATIVE PREDICTION; SYSTEMS BIOLOGY;

RESOURCE ALLOCATION;

ARTICLE; BACILLUS SUBTILIS; BACTERIAL GENOME; BACTERIAL GROWTH; GROWTH RATE; NONHUMAN; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; RESOURCE ALLOCATION; BACTERIUM; COMPUTER SIMULATION; GENETICS; METABOLIC ENGINEERING; METABOLISM; PROCEDURES;

BACILLUS SUBTILIS; BACTERIA; COMPUTER SIMULATION; GENOME, BACTERIAL; METABOLIC ENGINEERING; RESOURCE ALLOCATION;

EID: 84945587006     PISSN: 10967176     EISSN: 10967184     Source Type: Journal    
DOI: 10.1016/j.ymben.2015.10.003     Document Type: Article

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