Improving metabolic pathway efficiency by statistical model-based multivariate regulatory metabolic engineering

ACS Synthetic Biology

Volumn 6, Issue 1, 2017, Pages 148-158

  Xu, Peng ^a,c   Rizzoni, Elizabeth Anne ^b   Sul, Se Yeong ^a   Stephanopoulos, Gregory ^a  

^a Massachusetts Institute of Technology Cambridge   (United States)

^b WELLESLEY COLLEGE   (United States)

^c UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

Author keywords

Combinatorial optimization; Metabolic engineering; Promoter library; Statistical models and response surface methodology; Synthetic biology

Indexed keywords

ARTICLE; CELL ENGINEERING; CELL METABOLISM; DNA TEMPLATE; ELECTROPORATION; ENTEROBACTERIA PHAGE T7; GENE EXPRESSION; GENETIC SCREENING; METABOLIC ENGINEERING; METABOLISM; MULTIVARIATE ANALYSIS; MUTATION RATE; NONHUMAN; PHENOTYPE; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PROMOTER REGION; SITE DIRECTED MUTAGENESIS; STATISTICAL MODEL; SYNTHETIC BIOLOGY; CHEMISTRY; ESCHERICHIA COLI; GENETICS; PROCEDURES; THERMODYNAMICS;

INDOLE DERIVATIVE; VIOLACEIN;

BACTERIOPHAGE T7; ESCHERICHIA COLI; GENE EXPRESSION; INDOLES; METABOLIC ENGINEERING; METABOLIC NETWORKS AND PATHWAYS; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; PROMOTER REGIONS, GENETIC; SYNTHETIC BIOLOGY; THERMODYNAMICS;

EID: 85012838041     PISSN: None     EISSN: 21615063     Source Type: Journal    
DOI: 10.1021/acssynbio.6b00187     Document Type: Article

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