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Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
Published on: July 16, 2017
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Multi-resolution visualization and analysis of biomolecular networks through hierarchical community detection and
Paolo Perlasca1, Marco Frasca1, Cheick Tidiane Ba1
1AnacletoLab, Department of Computer Science, University of Milan, Milan, Italy.
Plos One
|December 22, 2020
Summary
This study introduces a new method for visualizing large biomolecular networks by grouping proteins into communities. This approach simplifies exploring complex protein interactions and aids in predicting protein functions, even for viral proteins.
Area of Science:
- Bioinformatics
- Computational Biology
- Network Science
Background:
- Visualizing biomolecular networks is crucial for understanding protein interactions.
- Existing tools often focus on single proteins, struggling with large-scale network analysis.
- Interpreting complex structures in massive biomolecular networks remains challenging.
Purpose of the Study:
- To develop a novel multi-resolution approach for exploring large biomolecular networks.
- To enable interactive visualization and analysis of hierarchical community structures within networks.
- To improve the feasibility of analyzing complex networks on standard computing hardware.
Main Methods:
- Exploited hierarchical community detection algorithms to identify protein communities.
- Developed a graphical rendering with protein and community nodes, and multiple edge types.
- Implemented a multi-resolution, zoomable interface combining community and vertex-centric views.
- Integrated the approach into the UNIPred-Web application, enhancing its prediction capabilities.
Main Results:
- Demonstrated the feasibility of visualizing and exploring large, complex biomolecular networks.
- Validated the biological relevance of detected communities through enrichment analyses.
- Successfully visualized and predicted interactions within a SARS-CoV-2 human host protein network.
Conclusions:
- The proposed multi-resolution community-based approach significantly enhances biomolecular network exploration.
- This method makes complex network analysis accessible on standard hardware.
- The integrated UNIPred-Web tool offers powerful capabilities for network analysis and protein function prediction, including viral-host interactions.
