Hidden long evolutionary memory in a model biochemical network.
Author(s): Al, Md Zulfikar; Wingreen, Ned; Mukhopadhyay, Ranjan
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Abstract: | We introduce a minimal model for the evolution of functional protein-interaction networks using a sequence-based mutational aWe introduce a minimal model for the evolution of functional protein-interaction networks using a sequencebased 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. |
Publication Date: | Apr-2018 |
Electronic Publication Date: | 20-Apr-2018 |
Citation: | Ali, Md Zulfikar, Wingreen, Ned S, Mukhopadhyay, Ranjan. (2018). Hidden long evolutionary memory in a model biochemical network.. Physical review. E, 97 (4-1), 040401 - ?. doi:10.1103/physreve.97.040401 |
DOI: | doi:10.1103/physreve.97.040401 |
ISSN: | 2470-0045 |
EISSN: | 2470-0053 |
Pages: | 040401 - 040401 |
Language: | eng |
Type of Material: | Journal Article |
Journal/Proceeding Title: | Physical Review E |
Version: | Final published version. Article is made available in OAR by the publisher's permission or policy. |
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