Identification of Bistability in Enzymatic Reaction Networks Using Hysteresis Response

Takashi Naka

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Paper

Identification of Bistability in Enzymatic Reaction Networks Using Hysteresis Response

Topics: Analysis of Biological Networks ; Simulation and Modeling; Systems Biology and Computational Network Biology

In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOINFORMATICS, 479-486, 2024 , Rome, Italy

Author: Takashi Naka

Affiliation: Faculty of Science and Engineering, Kyushu Sangyo University, Fukuoka, Japan

Keyword(s): Enzymatic Reaction Network, Regulatory Network, Hysteresis Response, Bistability, Mathematical Model.

Abstract: Intracellular signaling systems can be viewed as enzymatic reaction networks in which enzymes regulate each other through activation and inactivation, and exhibit various properties such as bistability depending on their regulatory structure and parameter values. In this study, we formulate the intracellular signaling systems as regulatory networks whose nodes are cyclic reaction systems of enzyme activation and inactivation, and propose an evaluation function that can identify bistability with low computational cost. For the purpose of demonstrating its effectiveness, we identified 4- and 5-node regulatory networks that exhibit bistability. Furthermore, the effect of parameter values on bistability was analyzed, suggesting that the regulatory structure is more dominant than parameter values for the emergence of bistability.

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Paper citation in several formats:

Naka, T. (2024). Identification of Bistability in Enzymatic Reaction Networks Using Hysteresis Response. In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOINFORMATICS; ISBN 978-989-758-688-0; ISSN 2184-4305, SciTePress, pages 479-486. DOI: 10.5220/0012416000003657

@conference{bioinformatics24,
author={Takashi Naka.},
title={Identification of Bistability in Enzymatic Reaction Networks Using Hysteresis Response},
booktitle={Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOINFORMATICS},
year={2024},
pages={479-486},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012416000003657},
isbn={978-989-758-688-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOINFORMATICS
TI - Identification of Bistability in Enzymatic Reaction Networks Using Hysteresis Response
SN - 978-989-758-688-0
IS - 2184-4305
AU - Naka, T.
PY - 2024
SP - 479
EP - 486
DO - 10.5220/0012416000003657
PB - SciTePress