Publication | Open Access
Signal Detection, Modularity, and the Correlation between Extrinsic and Intrinsic Noise in Biochemical Networks
142
Citations
16
References
2006
Year
EngineeringBiocyberneticsBiochemical NetworksCoherence ResonanceNetwork AnalysisPower SpectrumBiological NetworkNoiseMolecular CommunicationSignal DetectionBiophysicsBiochemistryMedicineIntrinsic NoiseStochastic ResonanceSignal ProcessingBiochemical NetworkSignal TransductionComputational NeuroscienceNeuronal NetworkRegulatory Network ModellingSystems BiologyBiological Computation
We present an expression for the power spectrum of the output signal of a biochemical network, which reveals that the reactions that allow a network to detect biochemical signals, induce correlations between the extrinsic noise of the input signals and the intrinsic noise of the reactions that form the network. We show that anticorrelations between the extrinsic and intrinsic noise enhance the robustness of zero-order ultrasensitive networks to biochemical noise. We discuss the consequences for a modular description of noise transmission using the mitogen-activated protein kinase cascade.
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