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Discerning molecular interactions: A comprehensive review on biomolecular interaction databases and network analysis
Sravan Kumar Miryala1, Anand Anbarasu1, Sudha Ramaiah1
1Medical and Biological Computing Laboratory, School of Biosciences and Technology, VIT University, Vellore 632014, Tamil Nadu, India.
This review covers computational tools and databases for analyzing gene interaction (GI) and protein-protein interaction (PPI) networks. It highlights methods for network generation, visualization, and analysis to understand gene and protein functions.
Area of Science:
- Bioinformatics
- Systems Biology
- Computational Biology
Background:
- Biomolecular interaction network analysis is crucial for understanding novel gene/protein functions.
- Gene interaction (GI) and protein-protein interaction (PPI) network analysis aid in predicting functionality and evolutionary conservation.
Purpose of the Study:
- To review open-source databases and tools for collecting and analyzing gene and protein interaction data.
- To provide an overview of network generation, visualization, and analysis approaches.
- To discuss methods for extracting meaningful information from interaction networks.
Main Methods:
- Discussion of popular open-source databases for interaction data.
- Overview of tools for network generation, visualization, and analysis.
- Exploration of network analysis approaches (topological, clustering) and functional enrichment servers.
Main Results:
- Identified key open-source databases for accessing interaction data.
- Presented a range of tools for network construction and visualization.
- Detailed various network analysis techniques and functional enrichment methods.
Conclusions:
- The review provides a comprehensive overview of resources for gene and protein-protein interaction network analysis.
- It equips researchers with the knowledge to effectively utilize these tools for functional insights.
- The discussed methods facilitate the extraction of valuable biological information from complex interaction networks.
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