Identification of Bistability in Enzymatic Reaction Networks Using Hysteresis Response

Takashi Naka

2024

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.

Paper Citation

in Harvard Style

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 - Volume 1: BIOINFORMATICS; ISBN 978-989-758-688-0, SciTePress, pages 479-486. DOI: 10.5220/0012416000003657

in Bibtex Style

@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 - Volume 1: BIOINFORMATICS},
year={2024},
pages={479-486},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012416000003657},
isbn={978-989-758-688-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOINFORMATICS
TI - Identification of Bistability in Enzymatic Reaction Networks Using Hysteresis Response
SN - 978-989-758-688-0
AU - Naka T.
PY - 2024
SP - 479
EP - 486
DO - 10.5220/0012416000003657
PB - SciTePress