Canonical sensitivities: A useful tool to deal with large perturbations in metabolic network modeling

In Silico Biology

Volumn 4, Issue 2, 2004, Pages 163-182

  Guebel, Daniel V ^a  

^a Biotechnology Counseling Services   (Argentina)

Author keywords

Control coefficient; Experimental design; GMA; Large perturbations; Least squares; Metabolic control; Metabolic engineering; Metabolic network; Quadratic response surface; S system; Sensitivity coefficients; Synergism

Indexed keywords

ACCURACY; ARTICLE; CANONICAL ANALYSIS; COMPUTER PROGRAM; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; METABOLIC ENGINEERING; METABOLIC REGULATION; MICHAELIS MENTEN KINETICS; PREDICTION; REGRESSION ANALYSIS; SENSITIVITY ANALYSIS; SIMULATION; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE; STEADY STATE; VALIDATION PROCESS;

ALGORITHMS; BIOCHEMISTRY; CELL PHYSIOLOGY; COMPUTATIONAL BIOLOGY; KINETICS; MATHEMATICS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NONLINEAR DYNAMICS; SENSITIVITY AND SPECIFICITY; SOFTWARE; SYSTEMS ANALYSIS; SYSTEMS THEORY;

EID: 8444247448     PISSN: 13866338     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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