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• W2684570785 abstract "We introduce a minimal model for the evolution of functional protein-interaction networks using a sequence-based mutational algorithm, and apply the model to study neutral drift in networks that yield oscillatory dynamics. Starting with a functional core module, random evolutionary drift increases network complexity even in the absence of specific selective pressures. Surprisingly, we uncover a hidden order in sequence space that gives rise to long-term evolutionary memory, implying strong constraints on network evolution due to the topology of accessible sequence space." @default.
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• W2684570785 date "2018-04-20" @default.
• W2684570785 modified "2023-10-16" @default.
• W2684570785 title "Hidden long evolutionary memory in a model biochemical network" @default.
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• W2684570785 doi "https://doi.org/10.1103/physreve.97.040401" @default.
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