Modeling Evolution of Crosstalk in Noisy Signal Transduction Networks

Overview

Journal Phys Rev E

Publisher American Physical Society

Specialty Biophysics

Date 2018 Mar 18

PMID 29548149

Citations 1

Authors

Ammar Tareen

Ned S Wingreen

Ranjan Mukhopadhyay

Affiliations

Soon will be listed here.

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.

Citing Articles

Sinha S, Jones B, Traniello I, Bukhari S, Halfon M, Hofmann H Proc Natl Acad Sci U S A. 2020; 117(38):23270-23279.

PMID: 32661177 PMC: 7519311. DOI: 10.1073/pnas.1921625117.

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