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MRAD: Metabolic reaction analysis database--an entity-relationship approach.

Raman Lall1, Guang Gao, Prasad Dhurjati

  • 1Department of Electrical and Computer Engineering, University of Delaware, Newark, Del., USA.

Journal of Molecular Microbiology and Biotechnology
|November 1, 2003
PubMed
Summary

The Metabolic Reaction Analysis Database (MRAD) integrates comprehensive metabolic data across organisms. This tool aids in comparing metabolic reactions and constructing flux balance models for metabolic engineering.

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Area of Science:

  • Biochemistry
  • Bioinformatics
  • Systems Biology

Background:

  • Metabolic data is often fragmented across various databases.
  • Comparing metabolic pathways and reactions across different organisms is complex.
  • Efficient tools are needed for metabolic engineering and systems biology research.

Purpose of the Study:

  • To introduce the Metabolic Reaction Analysis Database (MRAD) as a unified resource for metabolic information.
  • To enable comparative analysis of metabolic reactions and pathways across multiple organisms.
  • To facilitate the construction of flux balance models for metabolic engineering.

Main Methods:

  • Developed a relational database using the Entity-Relationship (ER) model.
  • Integrated data on organisms, genes, pathways, enzymes, substrates, and products.

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  • Created a graphical user interface for querying and comparative analysis.

    • Main Results:

    • MRAD contains data for 79 organisms, encompassing 244,596 genes, 6,552 enzymes, 3,552 reactions, 3,100 substrates, 2,866 products, and 118 metabolic pathways.
    • The interface allows identification of similar/dissimilar reactions and missing pathways.
    • Supports queries using combinations of up to six biological entities.

    Conclusions:

    • MRAD offers a powerful and efficient platform for metabolic reaction analysis.
    • The database supports comparative genomics and metabolic engineering applications.
    • Facilitates the construction of flux balance models for systems biology research.