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STARGATE-X: a Python package for statistical analysis on the REACTOME network.

Andrea Marino1, Blerina Sinaimeri2, Enrico Tronci1

  • 1Computer Science Department, Sapienza University of Rome, Rome, Italy.

Journal of Integrative Bioinformatics
|September 21, 2023
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Summary
This summary is machine-generated.

A new tool, StARGate-X, automates the analysis of Reactome biochemical networks. This bioinformatics tool provides insights into molecular pathways and biological hierarchy, aiding systems biology research.

Keywords:
StARGate-XReactomebiochemical reaction networksnetwork analysispathways

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Area of Science:

  • Bioinformatics
  • Systems Biology
  • Molecular Biology

Background:

  • Biological knowledge is often represented by molecular pathways.
  • Pathways are crucial for understanding gene functions and developing bioinformatics tools.
  • Biochemical networks, linking reactions and compounds, are key to pathway analysis.

Purpose of the Study:

  • Introduce StARGate-X, a tool for automated analysis of Reactome's biochemical reaction network and biological hierarchy.
  • Demonstrate the tool's effectiveness through centrality measures (in- and out-degree) of the Reactome network.
  • Provide a freely available, easy-to-use API for analyzing large biochemical networks.

Main Methods:

  • Developed StARGate-X (Statistical Analysis of the Reactome multi-Graph Through nEtworkX) for automated network analysis.
  • Utilized network analysis techniques, focusing on connectivity properties and centrality measures.
  • Analyzed subgraphs induced by cell compartments and the graph of strongly connected components.

Main Results:

  • StARGate-X successfully performed automated analysis of Reactome's network connectivity and hierarchy.
  • Centrality measures (in- and out-degree) were effectively applied to understand network properties.
  • The analysis provided insights into the structure of Reactome pathways within different cellular compartments.

Conclusions:

  • StARGate-X is the first freely available tool for automated analysis of the Reactome biochemical network using APIs.
  • The tool enhances mechanistic insights and gene list interpretation in systems biology.
  • Automated analysis of biochemical networks facilitates deeper understanding of molecular mechanisms.