ArticlePhysical review. E, Statistical, nonlinear, and soft matter physics2012
Noise effects in nonlinear biochemical signaling.
Article in Physical review. E, Statistical, nonlinear, and soft matter physics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Three-dimensional stochastic simulation of chemoattractant-mediated excitability in cells.PLoS computational biology · 2021Article
- Sensitivity minimization, biological homeostasis and information theory.Biological cybernetics · 2021Review
- Comparison of adaptation motifs: temporal, stochastic and spatial responses.IET systems biology · 2014Article
- How input fluctuations reshape the dynamics of a biological switching system.Physical review. E, Statistical, nonlinear, and soft matter physics · 2012Article
- Digital IIR filters design using differential evolution algorithm with a controllable probabilistic population size.PloS one · 2012Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
It has been generally recognized that stochasticity can play an important role in the information processing accomplished by reaction networks in biological cells. Most treatments of that stochasticity employ Gaussian noise even though it is a priori obvious that this approximation can violate physical constraints, such as the positivity of chemical concentrations. Here, we show that even when such nonphysical fluctuations are rare, an exact solution of the Gaussian model shows that the model can yield unphysical results. This is done in the context of a simple incoherent-feedforward model which exhibits perfect adaptation in the deterministic limit. We show how one can use the natural separation of time scales in this model to yield an approximate model, that is analytically solvable, including its dynamical response to an environmental change. Alternatively, one can employ a cutoff procedure to regularize the Gaussian result.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.