Title |
Integrative Analysis of Metabolic Models – from Structure to Dynamics
|
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Published in |
Frontiers in Bioengineering and Biotechnology, January 2015
|
DOI | 10.3389/fbioe.2014.00091 |
Pubmed ID | |
Authors |
Anja Hartmann, Falk Schreiber |
Abstract |
The characterization of biological systems with respect to their behavior and functionality based on versatile biochemical interactions is a major challenge. To understand these complex mechanisms at systems level modeling approaches are investigated. Different modeling formalisms allow metabolic models to be analyzed depending on the question to be solved, the biochemical knowledge and the availability of experimental data. Here, we describe a method for an integrative analysis of the structure and dynamics represented by qualitative and quantitative metabolic models. Using various formalisms, the metabolic model is analyzed from different perspectives. Determined structural and dynamic properties are visualized in the context of the metabolic model. Interaction techniques allow the exploration and visual analysis thereby leading to a broader understanding of the behavior and functionality of the underlying biological system. The System Biology Metabolic Model Framework (SBM (2) - Framework) implements the developed method and, as an example, is applied for the integrative analysis of the crop plant potato. |
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Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 3% |
Spain | 1 | 3% |
South Africa | 1 | 3% |
Unknown | 30 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 24% |
Researcher | 6 | 18% |
Professor > Associate Professor | 5 | 15% |
Student > Master | 4 | 12% |
Student > Postgraduate | 2 | 6% |
Other | 3 | 9% |
Unknown | 5 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 11 | 33% |
Biochemistry, Genetics and Molecular Biology | 5 | 15% |
Computer Science | 4 | 12% |
Medicine and Dentistry | 2 | 6% |
Engineering | 2 | 6% |
Other | 3 | 9% |
Unknown | 6 | 18% |