Towards Evolutionary Network Reconstruction Tools for Systems Biology

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 evolutiona...

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Bibliographic Details
Published inEvolutionary Computation, Machine Learning and Data Mining in Bioinformatics Vol. 4447; pp. 132 - 142
Main Authors Lenser, Thorsten, Hinze, Thomas, Ibrahim, Bashar, Dittrich, Peter
Format Book Chapter
LanguageEnglish
Published Germany Springer Berlin / Heidelberg 2007
Springer Berlin Heidelberg
SeriesLecture Notes in Computer Science
Subjects
Genetic Programming
Premature Convergence
Spindle Checkpoint
Structural Mutation
System Biology
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Summary: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.
ISBN:354071782X
9783540717829
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-540-71783-6_13