Identifying quantitative operation principles in metabolic pathways: A systematic method for searching feasible enzyme activity patterns leading to cellular adaptive responses

BMC Bioinformatics

Volumn 10, Issue , 2009, Pages

  Guillén Gosálbez, Gonzalo ^a   Sorribas, Albert ^b  

^a UNIVERSITAT ROVIRA I VIRGILI   (Spain)

^b UNIVERSITY OF LLEIDA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ANAEROBIC FERMENTATION; ENVIRONMENTAL CHANGE; EVALUATION OF PARAMETERS; METABOLIC ADAPTATION; MIXED-INTEGER LINEAR PROGRAMMING; OPTIMIZATION ANALYSIS; UPPER AND LOWER BOUNDS; YEAST SACCHAROMYCES CEREVISIAE;

ALGEBRA; APPROXIMATION ALGORITHMS; LINEAR PROGRAMMING; METABOLISM; NONLINEAR PROGRAMMING; OPTIMIZATION; PHYSIOLOGY; YEAST;

ITERATIVE METHODS;

ADAPTATION; ALGORITHM; ANAEROBIC FERMENTATION; ARTICLE; CELL METABOLISM; CONTROLLED STUDY; ENVIRONMENTAL FACTOR; ENZYME ACTIVITY; ENZYME ANALYSIS; FUNGAL METABOLISM; HEAT SHOCK RESPONSE; METABOLIC ENGINEERING; NONHUMAN; NONLINEAR SYSTEM; PROCESS OPTIMIZATION; QUANTITATIVE ANALYSIS; SACCHAROMYCES CEREVISIAE; SIGNAL TRANSDUCTION; BIOLOGY; ENZYMOLOGY; KINETICS; METABOLISM; METHODOLOGY;

SACCHAROMYCES CEREVISIAE;

ALGORITHMS; COMPUTATIONAL BIOLOGY; HEAT-SHOCK RESPONSE; KINETICS; METABOLIC NETWORKS AND PATHWAYS; NONLINEAR DYNAMICS; SACCHAROMYCES CEREVISIAE;

EID: 74049099516     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-10-386     Document Type: Article

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