A genetic approach for synthesizing metabolic models from time series

Authors:
Alberto Castellini;Vincenzo Manca;Mauro Zucchelli;Mirko Busato
Affiliations:
University of Verona, Verona, Italy;University of Verona, Verona, Italy;University of Verona, Verona, Italy;Universiy of Verona, Verona, Italy
Venue:
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Year:
2012

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Abstract

In this paper we introduce a new approach, based on genetic algorithms and multiple linear regression, for the synthesis of flux regulation functions in metabolic models from observed time series. Genetic algorithms are used as a variable selection technique to identify the best primitive functions for flux regulation, and multiple linear regression is employed to compute primitive function coefficients. Our methodology is here successfully applied to synthesize a set of regulation functions able to regenerate an observed dynamics for the mitotic oscillator in early amphibian embryos.