Towards evolutionary network reconstruction tools for systems biology

Authors:
Thorsten Lenser;Thomas Hinze;Bashar Ibrahim;Peter Dittrich
Affiliations:
Friedrich Schiller University Jena, Jena, Germany;Friedrich Schiller University Jena, Jena, Germany;Friedrich Schiller University Jena, Jena, Germany;Friedrich Schiller University Jena, Jena, Germany
Venue:
EvoBIO'07 Proceedings of the 5th European conference on Evolutionary computation, machine learning and data mining in bioinformatics
Year:
2007

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Abstract

Systems biology is the ever-growing field of integrating molecular knowledge about biological organisms into an understanding at the systems level. For this endeavour, automatic network reconstruction tools are urgently needed. In the present contribution, we show how the applicability of evolutionary algorithms to systems biology can be improved by a domain-specific representation and algorithmic extensions, especially a separation of network structure evolution from evolution of kinetic parameters. In a case study, our presented tool is applied to a model of the mitotic spindle checkpoint in the human cell cycle.