title: Mathematical and computational techniques to deduce complex biochemical reaction mechanisms.
abstract: 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.
authors.affiliation: Centre for Mathematical Biology, Mathematical Institute, 24-29 St. Giles', Oxford OX 1 3LB, UK. e.crampin@auckland.ac.nz
authors.forename: E J
authors.initials: EJ
authors.lastname: Crampin
authors.forename: S
authors.initials: S
authors.lastname: Schnell
authors.forename: P E
authors.initials: PE
authors.lastname: McSharry
mesh_terms: D000465:Algorithms; D000818:Animals; D001669:Biochemical Phenomena; D002468:Cell Physiological Phenomena; D003198:Computer Simulation; D006801:Humans; D016014:Linear Models; D008954:Models, Biological; D008956:Models, Chemical; D017711:Nonlinear Dynamics; D009716:Numerical Analysis, Computer-Assisted; D015398:Signal Transduction / Q000502:physiology*; D013598:Systems Theory