Published January 26, 2015 | Version v1
Journal article

Integrative Analysis of Metabolic Models – from Structure to Dynamics

  • 1. Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben (Germany)
  • 2. Martin-Luther-University Halle-Wittenberg, Halle (Germany)
  • 3. Monash University, Melbourne, VIC (Australia)

Description

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 (SBM2 – Framework) implements the developed method and, as an example, is applied for the integrative analysis of the crop plant potato.

Availability note (English)

Available from http://dx.doi.org/10.3389/fbioe.2014.00091

Additional details

Identifiers

Publishing Information

Journal Title
Frontiers in Bioengineering and Biotechnology
Journal Volume
2
Journal Page Range
[10 p.]
ISSN
2296-4185

INIS

Country of Publication
Switzerland
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
49037041
Subject category
S60: APPLIED LIFE SCIENCES;
Resource subtype / Literary indicator
Numerical Data
Descriptors DEI
BIOLOGY; DYNAMICS; EXPERIMENTAL DATA; METABOLISM; SIMULATION
Descriptors DEC
DATA; INFORMATION; MECHANICS; NUMERICAL DATA

Optional Information

Copyright
Copyright (c) 2015 Hartmann and Schreiber.