konnect2prot: a web application to explore the protein properties in a functional protein-protein interaction network

Area of Science:

• Bioinformatics
• Systems Biology
• Computational Biology

Background:

• Protein regulation is crucial for biological processes and organism phenotype.
• Identifying key proteins in protein-protein interaction (PPI) networks is essential for understanding information processing.
• Existing tools lack a comprehensive pipeline for analyzing context-specific PPI networks to find influential proteins.

Purpose of the Study:

• To develop a systematic tool for identifying crucial proteins in PPI networks.
• To create a web application that leverages topological understanding of context-specific PPI networks.
• To detect biological and topological importance of proteins within a network.

Main Methods:

• Developed the 'konnect2prot' (k2p) web application.
• Generated context-specific directional PPI networks from input proteins.
• Pooled ontological knowledge to create a functional network and analyze PPI data.

Main Results:

• k2p provides comprehensive protein information, including local and global network properties.
• The application identifies 'spreaders' in the network and maps them to disease hallmarks.
• It offers insights into molecular underpinnings of disease development through PPI network analysis.

Conclusions:

• konnect2prot serves as a valuable resource for identifying influential proteins in biological networks.
• The tool aids in understanding protein roles in disease mechanisms.
• It facilitates the analysis of complex PPI data for biological discovery.