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Modeling evolution of crosstalk in noisy signal transduction networks

Ammar Tareen, Ned S. Wingreen, and Ranjan Mukhopadhyay
Phys. Rev. E 97, 020402(R) – Published 8 February 2018
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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.

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  • Received 30 June 2017

DOI:https://doi.org/10.1103/PhysRevE.97.020402

©2018 American Physical Society

Physics Subject Headings (PhySH)

Physics of Living Systems

Authors & Affiliations

Ammar Tareen1, Ned S. Wingreen2,*, and Ranjan Mukhopadhyay1,†

  • 1Department of Physics, Clark University, Worcester, Massachusetts 01610, USA
  • 2Lewis-Sigler Institute for Integrative Genomics, Carl Icahn Laboratory, Washington Road, Princeton, New Jersey 08544, USA

  • *wingreen@princeton.edu
  • ranjan@clarku.edu

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Issue

Vol. 97, Iss. 2 — February 2018

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