Mutual Information between Input and Output Trajectories of Biochemical Networks

Filipe Tostevin and Pieter Rein ten Wolde
Phys. Rev. Lett. 102, 218101 – Published 27 May 2009

Abstract

Biochemical networks can respond to temporal characteristics of time-varying signals. To understand how reliably biochemical networks can transmit information we must consider how an input signal as a function of time—the input trajectory—can be mapped onto an output trajectory. Here we estimate the mutual information between input and output trajectories using a Gaussian model. We study how reliably the chemotaxis network of E. coli can transmit information on the ligand concentration to the flagellar motor, and find the input power spectrum that maximizes the information transmission rate.

  • Figure
  • Received 29 December 2008

DOI:https://doi.org/10.1103/PhysRevLett.102.218101

©2009 American Physical Society

Authors & Affiliations

Filipe Tostevin and Pieter Rein ten Wolde

  • FOM Institute for Atomic and Molecular Physics, Kruislaan 407, 1098 SJ Amsterdam, The Netherlands

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Issue

Vol. 102, Iss. 21 — 29 May 2009

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