Abstract | ||
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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 Monte-Carlo 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.The source code is freely available for download at http://bioinformatics.uni-potsdam.de/projects/skm.girbig@mpimp-golm.mpg.de. |
Year | DOI | Venue |
---|---|---|
2012 | 10.1093/bioinformatics/bts473 | Bioinformatics |
Keywords | Field | DocType |
structural kinetic modeling,model building,time-intensive process,assigning model parameter,qualitative analysis,analysis process,sk model,matlab toolbox,literature model,structural kinetic model,toolbox implementation | Data mining,Experimental data,Matlab toolbox,Computer science,Source code,Model building,Toolbox,Implementation,Sampling (statistics),Bioinformatics,Scripting language | Journal |
Volume | Issue | ISSN |
28 | 19 | 1367-4811 |
Citations | PageRank | References |
2 | 0.44 | 2 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dorothee Girbig | 1 | 2 | 0.44 |
Joachim Selbig | 2 | 772 | 93.34 |
Sergio Grimbs | 3 | 14 | 3.68 |