Derivation of stationary distributions of biochemical reaction networks via structure transformation

Hyukpyo Hong; Jinsu Kim; M. Ali Al-Radhawi; Eduardo D. Sontag; Jae Kyoung Kim

doi:10.1038/s42003-021-02117-x

Communications Biology (May 2021)

Derivation of stationary distributions of biochemical reaction networks via structure transformation

Hyukpyo Hong,
Jinsu Kim,
M. Ali Al-Radhawi,
Eduardo D. Sontag,
Jae Kyoung Kim

Affiliations

Hyukpyo Hong: Department of Mathematical Sciences, Korea Advanced Institute of Science and Technology
Jinsu Kim: Department of Mathematics, University of California
M. Ali Al-Radhawi: Department of Electrical and Computer Engineering, Northeastern University
Eduardo D. Sontag: Department of Electrical and Computer Engineering, Northeastern University
Jae Kyoung Kim: Department of Mathematical Sciences, Korea Advanced Institute of Science and Technology

DOI: https://doi.org/10.1038/s42003-021-02117-x
Journal volume & issue: Vol. 4, no. 1
pp. 1 – 10

Abstract

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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.

Published in Communications Biology

ISSN: 2399-3642 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science: Biology (General)
Website: https://www.nature.com/commsbio/

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