The fidelity of dynamic signaling by noisy biomolecular networks.

ABSTRACT: Cells live in changing, dynamic environments. To understand cellular decision-making, we must therefore understand how fluctuating inputs are processed by noisy biomolecular networks. Here we present a general methodology for analyzing the fidelity with which different statistics of a fluctuating input are represented, or encoded, in the output of a signaling system over time. We identify two orthogonal sources of error that corrupt perfect representation of the signal: dynamical error, which occurs when the network responds on average to other features of the input trajectory as well as to the signal of interest, and mechanistic error, which occurs because biochemical reactions comprising the signaling mechanism are stochastic. Trade-offs between these two errors can determine the system'

SUBMITTER: Bowsher CG 

PROVIDER: S-EPMC3610653 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature