Quantification of noise in bifunctionality-induced post-translational modification

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Quantification of noise in bifunctionality-induced post-translational modification is …
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scholarly articleQ13442814

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P819ADS bibcode2013PhRvE..88c2716M
P818arXiv ID1211.0104
P356DOI10.1103/PHYSREVE.88.032716
P8608Fatcat IDrelease_2nxcgcvmprgl3ftilddj7kakaa
P698PubMed publication ID24125303
P5875ResearchGate publication ID257812984

P50authorRalf MetzlerQ42144273
Suman K. BanikQ47840743
P2093author name stringPinaki Chaudhury
Sudip Chattopadhyay
Alok Kumar Maity
Arnab Bandyopadhyay
Jyotipratim Ray Chaudhuri
P2860cites workUsing gene expression noise to understand gene regulationQ24617979
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Fast evaluation of fluctuations in biochemical networks with the linear noise approximationQ31022744
Positive feedback and noise activate the stringent response regulator rel in mycobacteriaQ33323375
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Transmembrane polar interactions are required for signaling in the Escherichia coli sensor kinase PhoQQ33929313
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Noise and robustness in prokaryotic regulatory networksQ37786338
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Ontology of temperature in nonequilibrium systemsQ38515860
Signal transduction via the multi-step phosphorelay: not necessarily a road less traveledQ41113320
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How input fluctuations reshape the dynamics of a biological switching system.Q51268997
Effects of input noise on a simple biochemical switch.Q51492565
Signal detection, modularity, and the correlation between extrinsic and intrinsic noise in biochemical networks.Q51931638
Efficient attenuation of stochasticity in gene expression through post-transcriptional control.Q52561212
A general method for numerically simulating the stochastic time evolution of coupled chemical reactionsQ55934780
Exact stochastic simulation of coupled chemical reactionsQ56536017
P433issue3
P407language of work or nameEnglishQ1860
P304page(s)032716
P577publication date2013-09-30
P1433published inPhysical Review EQ2128181
P1476titleQuantification of noise in bifunctionality-induced post-translational modification
P478volume88

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Q58429407Oscillations in probability distributions for stochastic gene expressioncites workP2860

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