Related Experiment Video
Updated: May 26, 2026
07:11
CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data
Published on: November 10, 2023
Using the reconstructed genome-scale human metabolic network to study physiology and pathology.
1Department of Bioengineering, University of California San Diego, La Jolla, CA, USA.
Journal of Internal Medicine
|December 7, 2011
Summary
Genome-scale metabolic network reconstructions, like Recon 1, are vital for interpreting omics data in systems biology. Computational simulations of these networks offer clinically relevant insights into human diseases and drug effects.
Area of Science:
- Biochemistry
- Systems Biology
- Genomics
Background:
- Metabolism is central to human diseases.
- High-throughput omics data generation has advanced systems biology.
- Genome-scale metabolic network reconstructions are crucial for interpreting omics data.
Purpose of the Study:
- To review the reconstruction of the global human metabolic network (Recon 1).
- To highlight four key application areas of metabolic network reconstructions.
- To demonstrate the clinical relevance of computational simulations using these networks.
Main Methods:
- Review of the global human metabolic network reconstruction, Recon 1.
- Analysis of over 20 publications utilizing Recon 1.
- Focus on four classes of applications for metabolic network analysis.
Main Results:
- Recon 1 enables novel systems biology approaches for studying human physiology and pathology.
- Applications span diverse areas including cancer, diabetes, and host-pathogen interactions.
- Computational simulations yield clinically relevant results, often validated by experimental data.
Conclusions:
- Genome-scale metabolic networks are powerful tools for understanding disease.
- Recon 1 has facilitated significant advancements in systems biology research.
- Metabolic network simulations provide valuable insights for clinical applications and drug discovery.
