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A Web Tool for Generating High Quality Machine-readable Biological Pathways
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Querying KEGG pathways in logic.

Kazi Zakia Sultana, Anupam Bhattacharjee, Hasan Jamil

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    This summary is machine-generated.

    This study introduces IsoKEGG, a novel framework for querying biological pathways. It enables flexible subgraph matching within KEGG pathways based on topology and constituent properties.

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    Area of Science:

    • Bioinformatics
    • Systems Biology
    • Computational Biology

    Background:

    • Understanding biological entity interactions in pathways is crucial for elucidating biological system roles.
    • Querying biological pathways, particularly for topological and constituent properties, remains an underexplored area.

    Purpose of the Study:

    • To introduce a logic-based framework for querying biological pathways.
    • To develop a graphical interface, IsoKEGG, for flexible KEGG pathway querying.
    • To enable subnetwork matching based on isomorphic pathway topologies and constituent parameters.

    Main Methods:

    • Developed a novel and generic subgraph isomorphism computation technique.
    • Created the IsoKEGG graphical interface for pathway querying.
    • Implemented flexible querying based on node names, types, edges, and isomorphic topologies.

    Main Results:

    • IsoKEGG facilitates flexible querying of KEGG pathways.
    • The framework supports matching based on isomorphic pathway topologies.
    • It allows matching combinations of node names, types, and edges for detailed subnetwork analysis.

    Conclusions:

    • The IsoKEGG framework provides a powerful tool for querying biological pathways.
    • It enhances the analysis of KEGG pathways by enabling flexible subnetwork matching.
    • This approach facilitates deeper understanding of biological entity roles through pathway topology and constituent analysis.