Derivation of stationary distributions of biochemical reaction networks via structure transformation
Hong, Kim and colleagues develop a method for analytically deriving the stationary distributions of stochastic biochemical reaction networks using network structure transformation. They provide this method in a user-friendly computational package, CASTANET, available open-source.
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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Nature Portfolio
2021-05-01
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Series: | Communications Biology |
Online Access: | https://doi.org/10.1038/s42003-021-02117-x |
_version_ | 1818751092878475264 |
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author | Hyukpyo Hong Jinsu Kim M. Ali Al-Radhawi Eduardo D. Sontag Jae Kyoung Kim |
author_facet | Hyukpyo Hong Jinsu Kim M. Ali Al-Radhawi Eduardo D. Sontag Jae Kyoung Kim |
author_sort | Hyukpyo Hong |
collection | DOAJ |
description | Hong, Kim and colleagues develop a method for analytically deriving the stationary distributions of stochastic biochemical reaction networks using network structure transformation. They provide this method in a user-friendly computational package, CASTANET, available open-source. |
first_indexed | 2024-12-18T04:30:05Z |
format | Article |
id | doaj.art-f3360ccb16ac49c5a6b904005256629e |
institution | Directory Open Access Journal |
issn | 2399-3642 |
language | English |
last_indexed | 2024-12-18T04:30:05Z |
publishDate | 2021-05-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Communications Biology |
spelling | doaj.art-f3360ccb16ac49c5a6b904005256629e2022-12-21T21:21:00ZengNature PortfolioCommunications Biology2399-36422021-05-014111010.1038/s42003-021-02117-xDerivation of stationary distributions of biochemical reaction networks via structure transformationHyukpyo Hong0Jinsu Kim1M. Ali Al-Radhawi2Eduardo D. Sontag3Jae Kyoung Kim4Department of Mathematical Sciences, Korea Advanced Institute of Science and TechnologyDepartment of Mathematics, University of CaliforniaDepartment of Electrical and Computer Engineering, Northeastern UniversityDepartment of Electrical and Computer Engineering, Northeastern UniversityDepartment of Mathematical Sciences, Korea Advanced Institute of Science and TechnologyHong, Kim and colleagues develop a method for analytically deriving the stationary distributions of stochastic biochemical reaction networks using network structure transformation. They provide this method in a user-friendly computational package, CASTANET, available open-source.https://doi.org/10.1038/s42003-021-02117-x |
spellingShingle | Hyukpyo Hong Jinsu Kim M. Ali Al-Radhawi Eduardo D. Sontag Jae Kyoung Kim Derivation of stationary distributions of biochemical reaction networks via structure transformation Communications Biology |
title | Derivation of stationary distributions of biochemical reaction networks via structure transformation |
title_full | Derivation of stationary distributions of biochemical reaction networks via structure transformation |
title_fullStr | Derivation of stationary distributions of biochemical reaction networks via structure transformation |
title_full_unstemmed | Derivation of stationary distributions of biochemical reaction networks via structure transformation |
title_short | Derivation of stationary distributions of biochemical reaction networks via structure transformation |
title_sort | derivation of stationary distributions of biochemical reaction networks via structure transformation |
url | https://doi.org/10.1038/s42003-021-02117-x |
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