Noise-induced mixing and multimodality in reaction networks
We analyse a class of chemical reaction networks under mass-action kinetics involving multiple time scales, whose deterministic and stochastic models display qualitative differences. The networks are inspired by gene-regulatory networks and consist of a slow subnetwork, describing conversions among...
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Формат: | Journal article |
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Cambridge University Press
2018
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_version_ | 1826291566166147072 |
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author | Plesa, T Erban, R Othmer, H |
author_facet | Plesa, T Erban, R Othmer, H |
author_sort | Plesa, T |
collection | OXFORD |
description | We analyse a class of chemical reaction networks under mass-action kinetics involving multiple time scales, whose deterministic and stochastic models display qualitative differences. The networks are inspired by gene-regulatory networks and consist of a slow subnetwork, describing conversions among the different gene states, and fast subnetworks, describing biochemical interactions involving the gene products. We show that the long-term dynamics of such networks can consist of a unique attractor at the deterministic level (unistability), while the long-term probability distribution at the stochastic level may display multiple maxima (multimodality). The dynamical differences stem from a phenomenon we call noise-induced mixing, whereby the probability distribution of the gene products is a linear combination of the probability distributions of the fast subnetworks which are ‘mixed’ by the slow subnetworks. The results are applied in the context of systems biology, where noise-induced mixing is shown to play a biochemically important role, producing phenomena such as stochastic multimodality and oscillations. |
first_indexed | 2024-03-07T03:01:19Z |
format | Journal article |
id | oxford-uuid:b10e6250-9782-40d9-b34a-05f51ae5e9ed |
institution | University of Oxford |
last_indexed | 2024-03-07T03:01:19Z |
publishDate | 2018 |
publisher | Cambridge University Press |
record_format | dspace |
spelling | oxford-uuid:b10e6250-9782-40d9-b34a-05f51ae5e9ed2022-03-27T04:01:09ZNoise-induced mixing and multimodality in reaction networksJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:b10e6250-9782-40d9-b34a-05f51ae5e9edSymplectic Elements at OxfordCambridge University Press2018Plesa, TErban, ROthmer, HWe analyse a class of chemical reaction networks under mass-action kinetics involving multiple time scales, whose deterministic and stochastic models display qualitative differences. The networks are inspired by gene-regulatory networks and consist of a slow subnetwork, describing conversions among the different gene states, and fast subnetworks, describing biochemical interactions involving the gene products. We show that the long-term dynamics of such networks can consist of a unique attractor at the deterministic level (unistability), while the long-term probability distribution at the stochastic level may display multiple maxima (multimodality). The dynamical differences stem from a phenomenon we call noise-induced mixing, whereby the probability distribution of the gene products is a linear combination of the probability distributions of the fast subnetworks which are ‘mixed’ by the slow subnetworks. The results are applied in the context of systems biology, where noise-induced mixing is shown to play a biochemically important role, producing phenomena such as stochastic multimodality and oscillations. |
spellingShingle | Plesa, T Erban, R Othmer, H Noise-induced mixing and multimodality in reaction networks |
title | Noise-induced mixing and multimodality in reaction networks |
title_full | Noise-induced mixing and multimodality in reaction networks |
title_fullStr | Noise-induced mixing and multimodality in reaction networks |
title_full_unstemmed | Noise-induced mixing and multimodality in reaction networks |
title_short | Noise-induced mixing and multimodality in reaction networks |
title_sort | noise induced mixing and multimodality in reaction networks |
work_keys_str_mv | AT plesat noiseinducedmixingandmultimodalityinreactionnetworks AT erbanr noiseinducedmixingandmultimodalityinreactionnetworks AT othmerh noiseinducedmixingandmultimodalityinreactionnetworks |