Network Building with the Cytoscape BioGateway App Explained in Five Use Cases

Area of Science:

• Bioinformatics
• Systems Biology
• Computational Biology

Background:

• Biological network analysis is crucial for understanding complex molecular interactions.
• Integrating diverse biological data sources remains a significant challenge.
• Existing tools may lack intuitive interfaces for complex query construction.

Purpose of the Study:

• To introduce the BioGateway App, a Cytoscape plugin for interactive biological network construction.
• To demonstrate the utility of BioGateway in querying and visualizing integrated biological data.
• To provide practical use cases for exploring gene regulatory and protein-protein interactions.

Main Methods:

• Utilizing the BioGateway App plugin within the Cytoscape network editor.
• Querying the Biogateway Resource Description Framework (RDF) triple store via a Graphical User Interface.
• Building complex SPARQL queries for data retrieval and network generation.
• Leveraging Cytoscape's filtering and refinement capabilities for network analysis.

Main Results:

• Successful interactive construction of biological networks from curated resources like UniProtKB, IntAct, and Gene Ontology.
• Demonstration of use cases for human gene and protein data, including disease-related molecular relationships and protein kinase activity.
• Exploration of potential downstream effects of targeted protein inhibition.
• Examples provided for exploring network information in other species.

Conclusions:

• The BioGateway App offers an intuitive interface for building and exploring complex biological networks.
• It effectively integrates data from multiple curated resources, facilitating the assessment of gene regulatory and protein-protein interactions.
• The tool enhances biological data exploration within the Cytoscape framework, supporting diverse research applications.