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KEGG: integrating viruses and cellular organisms.

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KEGG is a manually curated database resource that integrates biological data for systems, genomic, chemical, and health information. It aids in understanding cellular functions and predicting disease-related network variations from molecular data.

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Area of Science:

  • Bioinformatics
  • Systems Biology
  • Genomics

Background:

  • KEGG (Kyoto Encyclopedia of Genes and Genomes) is a comprehensive manually curated resource.
  • It integrates systems, genomic, chemical, and health information across eighteen databases.
  • KEGG mapping tools facilitate understanding of cellular and organism-level functions from molecular datasets.

Purpose of the Study:

  • To describe the KEGG resource and its utility in systems biology.
  • To highlight the integration of KEGG pathway maps with network variation and module databases.
  • To emphasize the ongoing improvements in the KO database for understanding virus-cell interactions.

Main Methods:

  • Utilizes KEGG mapping, a predictive method for reconstructing molecular networks.
  • Leverages functional orthologs for network reconstruction.
  • Integrates KEGG pathway maps with network variation maps and KEGG modules.

Main Results:

  • KEGG NETWORK database associates diseases with network variants (perturbed molecular networks).
  • Network variation maps illustrate how pathogens like viruses affect cellular signaling pathways.
  • The KO database expansion aids in predicting viral perturbations.

Conclusions:

  • KEGG provides a robust framework for analyzing molecular networks and their variations.
  • The integration of KEGG databases enhances the understanding of disease mechanisms.
  • Ongoing development of KEGG resources supports research in virology and systems biology.