Integrated Modeling of Gene Regulatory and Metabolic Networks in Mycobacterium tuberculosis

PLoS Computational Biology

Volumn 11, Issue 11, 2015, Pages

  Ma, Shuyi ^a,b,c   Minch, Kyle J ^c   Rustad, Tige R ^c   Hobbs, Samuel ^c   Zhou, Suk Lin ^b,c   Sherman, David R ^c,d   Price, Nathan D ^a,b  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b INSTITUTE FOR SYSTEMS BIOLOGY   (United States)

^c SEATTLE BIOMEDICAL RESEARCH INSTITUTE   (United States)

^d UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DEFECTS; FORECASTING; KNOWLEDGE BASED SYSTEMS; TRANSCRIPTION; TRANSCRIPTION FACTORS;

CONDITION; ENVIRONMENTAL PERTURBATIONS; GENE REGULATORY NETWORKS; GROWTH DEFECTS; INTEGRATED MODELING; METABOLIC MODELLING; METABOLIC NETWORK; MYCOBACTERIUM TUBERCULOSIS; PROBABILISTICS; STRAIN-RESISTANT;

METABOLISM;

NITROGEN; TRANSCRIPTION FACTOR;

ARTICLE; BACTERIAL STRAIN; BACTERIUM CULTURE; CARBON SOURCE; CHROMATIN IMMUNOPRECIPITATION; CONTROLLED STUDY; GENE OVEREXPRESSION; GENE REGULATORY NETWORK; GENOME; KNOWLEDGE BASE; METABOLISM; MYCOBACTERIUM TUBERCULOSIS; NONHUMAN; PHENOTYPE; PREDICTION; SIMULATION; BACTERIAL GENOME; BIOLOGICAL MODEL; GENETICS; SYSTEMS BIOLOGY;

GENE REGULATORY NETWORKS; GENOME, BACTERIAL; METABOLIC NETWORKS AND PATHWAYS; MODELS, BIOLOGICAL; MYCOBACTERIUM TUBERCULOSIS; SYSTEMS BIOLOGY;

EID: 84949257852     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1004543     Document Type: Article

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