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BEReX: Biomedical Entity-Relationship eXplorer.

Minji Jeon1, Sunwon Lee, Kyubum Lee

  • 1Interdisciplinary Graduate Program in Bioinformatics, Department of Computer Science and Engineering, Korea University, Seoul, Korea and Department of Medicine/Medical Oncology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.

Bioinformatics (Oxford, England)
|October 24, 2013
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Summary
This summary is machine-generated.

Biomedical Entity-Relationship eXplorer (BEReX) integrates eight databases for biomedical knowledge exploration. This tool facilitates searching and visualizing integrated biological networks, aiding in drug and disease pathway discovery.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Systems Biology

Background:

  • Biomedical research relies on integrating data from diverse sources.
  • Existing tools often lack comprehensive integration and interactive exploration capabilities.
  • Efficiently navigating complex biological networks is crucial for discovery.

Purpose of the Study:

  • To introduce Biomedical Entity-Relationship eXplorer (BEReX), a novel tool for biomedical knowledge integration and exploration.
  • To provide a unified platform for searching and visualizing integrated biological networks.
  • To enhance the discovery of relationships between drugs, diseases, and biological pathways.

Main Methods:

  • BEReX integrates data from eight major biomedical databases: STRING, DrugBank, KEGG, PhamGKB, BioGRID, GO, HPRD, and MSigDB.
  • It constructs an integrated network by combining information from these sources.
  • Users interact with the network by keyword searches, generating sub-networks for exploration.

Main Results:

  • BEReX enables interactive exploration of integrated biomedical networks.
  • Users can identify shortest paths between network nodes.
  • The tool facilitates the discovery of relevant drugs, diseases, and pathways within the network.

Conclusions:

  • Biomedical Entity-Relationship eXplorer (BEReX) is a valuable tool for biomedical knowledge integration, search, and exploration.
  • It simplifies the analysis of complex biological networks by integrating multiple databases.
  • BEReX supports interactive network modification and the identification of key biological entities and relationships.