Approximations and their consequences for dynamic modelling of signal transduction pathways

Mathematical Biosciences

Volumn 207, Issue 1, 2007, Pages 40-57

  Millat, Thomas ^a   Bullinger, Eric ^b   Rohwer, Johann ^c   Wolkenhauer, Olaf ^a  

^a UNIVERSITY OF ROSTOCK   (Germany)

^b NATIONAL UNIVERSITY OF IRELAND   (Ireland)

^c STELLENBOSCH UNIVERSITY   (South Africa)

Author keywords

Approximations; Conservation laws; Dynamical modelling; Feedback loops; Neglect of components; Signal transduction; Signalling cascades; Stationary states

Indexed keywords

APPROXIMATION THEORY; BIOCHEMISTRY; CELLS; COMPUTER SIMULATION; DIFFERENTIAL EQUATIONS; REACTION KINETICS;

BIOCHEMICAL NETWORKS; SIGNAL TRANSDUCTION PATHWAYS; STEADY STATE BEHAVIOR;

NEUROLOGY;

ADENOSINE TRIPHOSPHATE; ENZYME; MITOGEN ACTIVATED PROTEIN KINASE; PHOSPHATASE; PROTEIN;

BIOCHEMISTRY; CONSERVATION; FEEDBACK MECHANISM; KINETICS; MODELING; NUMERICAL MODEL; PROTEIN; SIGNAL;

ARTICLE; CATALYSIS; CHEMICAL REACTION KINETICS; DEPHOSPHORYLATION; DYNAMICS; ENZYME KINETICS; ENZYME SUBSTRATE COMPLEX; FEEDBACK SYSTEM; MATHEMATICAL MODEL; MICHAELIS CONSTANT; MICHAELIS MENTEN KINETICS; OSCILLATION; PROTEIN PHOSPHORYLATION; SIGNAL TRANSDUCTION; STEADY STATE;

FEEDBACK, BIOCHEMICAL; HUMANS; KINETICS; MAP KINASE SIGNALING SYSTEM; MODELS, BIOLOGICAL; SIGNAL TRANSDUCTION;

EID: 34147183345     PISSN: 00255564     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mbs.2006.08.012     Document Type: Article

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