Journal
BIOINFORMATICS
Volume 28, Issue 19, Pages 2546-2547Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/bts473
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Funding
- International Max Planck Research School Primary Metabolism and Plant Growth
- ColoNET project
- German Federal Ministry of Education and Research [0315417F]
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Structural kinetic modeling (SKM) enables the analysis of dynamical properties of metabolic networks solely based on topological information and experimental data. Current SKM-based experiments are hampered by the time-intensive process of assigning model parameters and choosing appropriate sampling intervals for MonteCarlo experiments. We introduce a toolbox for the automatic and efficient construction and evaluation of structural kinetic models (SK models). Quantitative and qualitative analyses of network stability properties are performed in an automated manner. We illustrate the model building and analysis process in detailed example scripts that provide toolbox implementations of previously published literature models.
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