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Author: Takashi Naka

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

Keyword(s): Michaelis-Menten Approximation, Stability Analysis, Cellular Signalling Systems, Regulatory Reaction Networks.

Abstract: Cellular signalling systems are comprised of enzymatic reaction cascades and organized as regulatory reaction networks. The primary building block of the network is an enzymatic activation-inactivation cyclic reaction such as phosphoryl modifications. We have investigated the effects of the network architectures and kinetic parameter values on the stability such as the emergence of bi-stability or oscillations employing the canonical Michaelis-Menten equation as the approximation for Michaelis-Menten-type reaction mechanisms in each of enzymatic cyclic reaction. Although the Michaelis-Menten approximation has known to work well under an assumption of a large excess of substrate over enzyme which is usually satisfied for metabolic pathways, the approximation might not suit to regulatory reaction networks in which the required assumption might be violated. In this study, comparing the predicted stabilities from the model with the Michalis-Menten approximation and with the full set of r eaction equations derived only from the law of mass action, the validity of the Michaelis-Menten approximation was examined for the regulatory reaction networks over the possible network architectures and kinetic parameter values elucidating that employing the Michalis-Menten approximation might not be valid even in the analysis for the steady states such as the stability analysis. (More)

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Paper citation in several formats:
Naka, T. (2020). Validity of the Michaelis-Menten Approximation for the Stability Analysis in Regulatory Reaction Networks. In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - BIOINFORMATICS; ISBN 978-989-758-398-8; ISSN 2184-4305, SciTePress, pages 176-182. DOI: 10.5220/0009093001760182

@conference{bioinformatics20,
author={Takashi Naka.},
title={Validity of the Michaelis-Menten Approximation for the Stability Analysis in Regulatory Reaction Networks},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - BIOINFORMATICS},
year={2020},
pages={176-182},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009093001760182},
isbn={978-989-758-398-8},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - BIOINFORMATICS
TI - Validity of the Michaelis-Menten Approximation for the Stability Analysis in Regulatory Reaction Networks
SN - 978-989-758-398-8
IS - 2184-4305
AU - Naka, T.
PY - 2020
SP - 176
EP - 182
DO - 10.5220/0009093001760182
PB - SciTePress

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