Quasi-multiparameter sensitivity measure for robustness analysis of complex biochemical networks

DOI10.1016/j.jtbi.2010.12.012zbMath1405.92107OpenAlexW2085919849WikidataQ54373975 ScholiaQ54373975MaRDI QIDQ1670639

Kazuhiro Maeda, Hiroyuki Kurata

Publication date: 6 September 2018

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2010.12.012

zbMATH Keywords

perturbationMonte Carlo simulationsystems biologycircadian clockheat-shock response

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Biochemistry, molecular biology (92C40) Systems biology, networks (92C42) Biological rhythms and synchronization (92B25)

Related Items (1)

Long negative feedback loop enhances period tunability of biological oscillators

Cites Work

• Modelling genetic networks with noisy and varied experimental data: the circadian clock in \textit{Arabidopsis thaliana}
• Modelling of circadian rhythms in \textit{Drosophila} incorporating the interlocked PER/TIM and VRI/PDP1 feedback loops
• A model of the cell-autonomous mammalian circadian clock
• Statistical multiparameter sensitivity measures for transfer gain and phase functions

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