Fuzzy sets as a basis for a theory of possibility
Fuzzy Sets and Systems
Self-adaptation of genome size in artificial organisms
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
From digital genetics to knowledge discovery: Perspectives in genetic network understanding
Intelligent Data Analysis - Knowledge Discovery in Bioinformatics
ECAL'09 Proceedings of the 10th European conference on Advances in artificial life: Darwin meets von Neumann - Volume Part I
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Systems biology invites us to consider the dynamic interactions between the components of a living cell. Here, by evolving artificial organisms whose genomes encode protein networks, we show that a coupling emerges at the evolutionary time scale between the protein network and the structure of the genome. Gene order is more stable when the protein network is more densely connected, which most likely results from a long-term selection for mutational robustness. Understanding evolving organisms thus requires a systemic approach, taking into account the functional interactions between gene products, but also the global relationships between the genome and the proteome at the evolutionary time scale.