Stability of Ensemble Models Predicts Productivity of Enzymatic Systems

PLoS Computational Biology

Volumn 12, Issue 3, 2016, Pages

  Theisen, Matthew K ^a   Lafontaine Rivera, Jimmy G ^a   Liao, James C ^a,b  

^a University of California   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

METABOLISM; PRODUCTIVITY; SENSITIVITY ANALYSIS; STOCHASTIC SYSTEMS; SYSTEM STABILITY;

A-STABLE; ENSEMBLE MODELS; ENZYMATIC SYSTEM; IRREVERSIBLE LOSS; LOSS OF STABILITY; METABOLIC SYSTEMS; NETWORK STRUCTURES; OPERATING POINTS; ROBUSTNESS ANALYSIS; STABLE STEADY STATE;

ENZYMES;

CHEMICAL REACTION KINETICS; EXPERIMENTAL TEST; MODEL; PREDICTION; PRODUCTIVITY; STOICHIOMETRY; ANIMAL; BIOLOGICAL MODEL; COMPUTER SIMULATION; ENZYME STABILITY; HUMAN; METABOLISM; METABOLOME; PHYSIOLOGY; SIGNAL TRANSDUCTION; STATISTICAL MODEL;

MULTIENZYME COMPLEX; PROTEOME;

ANIMALS; COMPUTER SIMULATION; ENZYME STABILITY; HUMANS; METABOLOME; MODELS, BIOLOGICAL; MODELS, STATISTICAL; MULTIENZYME COMPLEXES; PROTEOME; SIGNAL TRANSDUCTION;

EID: 84962052932     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1004800     Document Type: Article

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