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Modeling evolution of crosstalk in noisy signal transduction networks.

Author(s): Tareen, Ammar; Wingreen, Ned; Mukhopadhyay, Ranjan

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Abstract: Signal transduction networks can form highly interconnected systems within cells due to crosstalk between constituent pathways. To better understand the evolutionary design principles underlying such networks, we study the evolution of crosstalk for two parallel signaling pathways that arise via gene duplication. We use a sequence-based evolutionary algorithm and evolve the network based on two physically motivated fitness functions related to information transmission. We find that one fitness function leads to a high degree of crosstalk while the other leads to pathway specificity. Our results offer insights on the relationship between network architecture and information transmission for noisy biomolecular networks
Publication Date: 8-Feb-2018
Citation: Tareen, Ammar, Wingreen, Ned S, Mukhopadhyay, Ranjan. (2018). Modeling evolution of crosstalk in noisy signal transduction networks.. Physical review. E, 97 (2-1), 020402 - ?. doi:10.1103/physreve.97.020402
DOI: doi:10.1103/physreve.97.020402
ISSN: 2470-0045
EISSN: 2470-0053
Pages: 020402 - 020402
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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