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PMID: 12538248 Published · ppublish English Evaluation Study Journal Article

FluxAnalyzer: exploring structure, pathways, and flux distributions in metabolic networks on interactive flux maps.

Bioinformatics (Oxford, England) ·Vol. 19 ·No. 2 ·2003-01-22 ·Pages 261-9

Klamt S, Stelling J, Ginkel M, Gilles ED

Abstract

The analysis of structure, pathways and flux distributions in metabolic networks has become an important approach for understanding the functionality of metabolic systems. The need of a user-friendly platform for stoichiometric modeling of metabolic networks in silico is evident. The FluxAnalyzer is a package for MATLAB and facilitates integrated pathway and flux analysis for metabolic networks within a graphical user interface. Arbitrary metabolic network models can be composed by instances of four types of network elements. The abstract network model is linked with network graphics leading to interactive flux maps which allow for user input and display of calculation results within a network visualization. Therein, a large and powerful collection of tools and algorithms can be applied interactively including metabolic flux analysis, flux optimization, detection of topological features and pathway analysis by elementary flux modes or extreme pathways. The FluxAnalyzer has been applied and tested for complex networks with more than 500,000 elementary modes. Some aspects of the combinatorial complexity of pathway analysis in metabolic networks are discussed. Upon request from the corresponding author. Free for academic users (license agreement). Special contracts are available for industrial corporations. http://www.mpi-magdeburg.mpg.de/projects/fluxanalyzer.

MeSH Terms
Combinatorial Chemistry Techniques/methods Computer Simulation Energy Metabolism/physiology Metabolism/physiology Models, Biological Models, Chemical Signal Transduction/physiology Software Software Design Systems Integration User-Computer Interface
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Klamt Steffen
Max Planck Institute for Dynamics of Complex Technical Systems, Sandtorstrasse 1, D-39106 Magdeburg, Germany. [email protected]
Stelling Jörg
Ginkel Martin
Gilles Ernst Dieter
Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4803
Published
2003-01-22
Pages
261-9
Language
English
Region
England
NLM ID
9808944
Subset
IM
Analysis Services
Analysis Services

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