Combined Model of Intrinsic and Extrinsic Variability for Computational Network Design with Application to Synthetic Biology

PLoS Computational Biology

Volumn 9, Issue 3, 2013, Pages

  Toni, Tina ^a,b   Tidor, Bruce ^a,b,c  

^a Massachusetts Institute of Technology   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c Department of Electrical Engineering and Computer Science   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DESIGN; PROTEINS; RNA;

AUTOREGULATIONS; COMBINED MODELING; COMPUTATIONAL NETWORKS; COOPERATIVITY; DESIGN PRINCIPLES; GENETIC NETWORKS; POST-TRANSCRIPTIONAL; SOURCES OF VARIABILITY; SYNTHETIC BIOLOGY; UNCERTAINTY;

BIOLOGICAL SYSTEMS;

MESSENGER RNA; MICRORNA; PROTEIN VARIANT;

ARTICLE; AUTOREGULATION; CONTROLLED STUDY; GENE EXPRESSION; GENE REGULATORY NETWORK; GENE REPRESSION; GENETIC COMPLEMENTATION; GENETIC MODEL; GENETIC VARIABILITY; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PROTEIN DEGRADATION; PROTEIN DNA BINDING; PROTEIN EXPRESSION; PROTEIN RNA BINDING; STEADY STATE; STOCHASTIC MODEL; SYNTHETIC BIOLOGY; TRANSCRIPTION REGULATION;

EID: 84875984016     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002960     Document Type: Article

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