An energetic reformulation of kinetic rate laws enables scalable parameter estimation for biochemical networks

DOI10.1016/J.JTBI.2018.10.041zbMath1406.92234OpenAlexW2898490408WikidataQ58568190 ScholiaQ58568190MaRDI QIDQ1716893

John C. Mason, Markus W. Covert

Publication date: 5 February 2019

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

Full work available at URL: https://doi.org/10.1016/j.jtbi.2018.10.041

zbMATH Keywords

parameter estimationdynamicsmetabolismwhole-cell modeling

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) (92C45) Cell biology (92C37) Systems biology, networks (92C42)

Related Items (2)

Physically-plausible modelling of biomolecular systems: a simplified, energy-based model of the mitochondrial electron transport chain ⋮ Network thermodynamics of biological systems: a bond graph approach

Cites Work

• Incorporation of flexible objectives and time-linked simulation with flux balance analysis
• High-dimensional Bayesian parameter estimation: case study for a model of JAK2/STAT5 signaling

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