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E.J. Crampin, P.E. McSharry and S. Schnell (2004) Extracting biochemical reaction kinetics from time series data M. Ch. Negoita et al. (Eds.): Knowledge-Based Intelligent Information & Engineering Systems, Wellington, New Zealand (22-24 Sep) Lecture Notes in Artificial Intelligence 3214: 329-336, Springer-Verlag, Berling Heidleberg.

Abstract

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.

Keywords

Time series, biochemical reactions, reaction kinetics, nonlinear dynamics, mathematical models.