We consider the problem of inferring kinetic mechanisms for biochemical reactions from time series data. Using a priori knowledge about the structure of chemical reaction kinetics we develop global nonlinear models which use elementary reactions as a basis set, and discuss model construction using top-down and bottom-up approaches.
**Alternative citation for this paper:** Crampin EJ, McSharry PE, Schnell S (2004) Extracting Biochemical Reaction Kinetics from Time Series Data. In: Negoita MG, Howlett RJ, Jain LC (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science, vol 3214. Springer, Berlin, Heidelberg., pp 329-336.