Computational Translation Framework Identifies Biochemical Reaction Networks with Special Topologies and Their Long-Term Dynamics-Reference-Cited by-同舟云学术

Computational Translation Framework Identifies Biochemical Reaction Networks with Special Topologies and Their Long-Term Dynamics

Published:2023-05-31 Issue:3 Volume:83 Page:1025-1048
ISSN:0036-1399
Container-title:SIAM Journal on Applied Mathematics
language:en
Short-container-title:SIAM J. Appl. Math.

Author:

Hong Hyukpyo¹,Hernandez Bryan S.²,Kim Jinsu³,Kim Jae Kyoung¹^ORCID

Affiliation:

1. Department of Mathematical Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea, and Biomedical Mathematics Group, Pioneer Research Center for Mathematical and Computational Sciences, Institute for Basic Science, Daejeon 34126, Republic of Korea.

2. Biomedical Mathematics Group, Pioneer Research Center for Mathematical and Computational Sciences, Institute for Basic Science, Daejeon 34126, Republic of Korea, and Institute of Mathematics, University of the Philippines Diliman, Quezon City 1101, Philippines.

3. Department of Mathematics, Pohang University of Science Technology, Pohang 37673, Republic of Korea.

Funder

Institute for Basic Science

National Research Foundation of Korea

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics

Reference45 articles.

1. A Proof of the Global Attractor Conjecture in the Single Linkage Class Case

2. Stochastically modeled weakly reversible reaction networks with a single linkage class

3. Tier structure of strongly endotactic reaction networks

4. Product-Form Stationary Distributions for Deficiency Zero Networks with Non-mass Action Kinetics

5. Product-Form Stationary Distributions for Deficiency Zero Chemical Reaction Networks

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