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Integrative analysis of metabolic models - from structure to dynamics
Anja Hartmann1, Falk Schreiber2
1Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) , Gatersleben , Germany.
Frontiers in Bioengineering and Biotechnology
|February 13, 2015
Summary
This study presents a novel framework for analyzing biological systems. The System Biology Metabolic Model Framework (SBM(2)) integrates metabolic model structure and dynamics for a comprehensive understanding of biological functionality.
Area of Science:
- Systems Biology
- Biochemistry
- Computational Biology
Background:
- Characterizing complex biological systems via biochemical interactions is challenging.
- Systems-level modeling approaches are crucial for understanding biological mechanisms.
- Various modeling formalisms exist for metabolic model analysis, depending on data and research questions.
Purpose of the Study:
- To develop and present a method for integrative analysis of metabolic model structure and dynamics.
- To implement this method in the System Biology Metabolic Model Framework (SBM(2)).
- To demonstrate the framework's application using the crop plant potato.
Main Methods:
- Integrative analysis of qualitative and quantitative metabolic models.
- Utilizing various formalisms for diverse analytical perspectives.
- Employing interaction techniques for exploration and visual analysis of model properties.
Main Results:
- The developed method enables analysis of metabolic models from multiple viewpoints.
- Structural and dynamic properties are visualized within the metabolic model context.
- The SBM(2)-Framework facilitates a broader understanding of biological system behavior.
Conclusions:
- The SBM(2)-Framework provides an effective approach for integrative analysis of metabolic models.
- Visual and interactive exploration enhances understanding of biological system functionality.
- The framework is applicable to complex biological systems, exemplified by potato.
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