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.