Complexity reduction preserving dynamical behavior of biochemical networks

DOI10.1016/j.jtbi.2012.03.019zbMath1397.92248OpenAlexW2062851852WikidataQ51390361 ScholiaQ51390361MaRDI QIDQ1784362

Mochamad Apri, Jaap Molenaar, Maarten De Gee

Publication date: 26 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.2012.03.019

zbMATH Keywords

parameter estimationcomplexity reductiondynamical behavioradmissible regionsloppy parameters

Mathematics Subject Classification ID

Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) (92C45) Biochemistry, molecular biology (92C40) Systems biology, networks (92C42)

Related Items (8)

A multiscale agent-based model for the investigation of E. coli K12 metabolic response during biofilm formation ⋮ Model complexity reduction of chemical reaction networks using mixed-integer quadratic programming ⋮ On the relationship between sloppiness and identifiability ⋮ Methods of model reduction for large-scale biological systems: a survey of current methods and trends ⋮ Memory effects in biochemical networks as the natural counterpart of extrinsic noise ⋮ Approximate constrained lumping of polynomial differential equations ⋮ Data-driven, variational model reduction of high-dimensional reaction networks ⋮ Reducing a model of sugar metabolism in peach to catch different patterns among genotypes

Uses Software

• Concorde
• Sbmltoolbox

Cites Work

• Unnamed Item
• Identification of parametric models from experimental data. Transl. from an upd. French version by the authors, with the help of John Norton
• Invariant manifold methods for metabolic model reduction
• Modular analysis of signal transduction networks
• Transactions on Computational Systems Biology I

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