Mathematical and computational techniques to deduce complex biochemical reaction mechanisms

Time series data can now be routinely collected for biochemical reaction pathways, and recently, several methods have been proposed to infer reaction mechanisms for metabolic pathways and networks. In this paper we provide a survey of mathematical techniques for determining reaction mechanisms for t...

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Veröffentlicht in:	Progress in biophysics and molecular biology 2004-09, Vol.86 (1), p.77-112
Hauptverfasser:	Crampin, E.J., Schnell, S., McSharry, P.E.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Animals Biochemical Phenomena Cell Physiological Phenomena Computer Simulation Humans Linear Models Models, Biological Models, Chemical Nonlinear Dynamics Numerical Analysis, Computer-Assisted Signal Transduction - physiology Systems Theory
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	Time series data can now be routinely collected for biochemical reaction pathways, and recently, several methods have been proposed to infer reaction mechanisms for metabolic pathways and networks. In this paper we provide a survey of mathematical techniques for determining reaction mechanisms for time series data on the concentration or abundance of different reacting components, with little prior information about the pathways involved.
ISSN:	0079-6107 1873-1732
DOI:	10.1016/j.pbiomolbio.2004.04.002