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Updated: May 19, 2026
09:39
Mapping Dysfunctional Protein-Protein Interactions in Disease
Published on: October 24, 2025
Studying protein-protein interaction networks: a systems view on diseases
Ferenc Jordán1, Thanh-Phuong Nguyen, Wei-Chung Liu
1The Microsoft Research-University of Trento Center for Computational and Systems Biology, Piazza Manifattura 1, 38068, Rovereto, TN, Italy. jordan.ferenc@gmail.com
Briefings in Functional Genomics
|August 22, 2012
Summary
Network analysis, using protein-protein interaction (PPI) networks, helps understand complex cellular processes and disease mechanisms. This approach quantifies protein importance and infers functional relationships for improved biological databases and pathogenesis studies.
Area of Science:
- Systems Biology
- Bioinformatics
- Computational Biology
Background:
- Understanding cellular processes requires a systems perspective, often aided by modeling tools like network analysis.
- Protein-protein interaction (PPI) networks visualize and quantify protein function and importance within cellular systems.
- Network analysis provides local and global metrics to describe individual components and overall system architecture.
Purpose of the Study:
- To introduce network analysis indices for studying biological systems.
- To demonstrate the application of network analysis in inferring functional relationships between disease proteins.
- To highlight the utility of network analysis in improving biological databases and supporting pathogenesis research.
Main Methods:
- Utilizing network analysis tools to examine protein-protein interaction (PPI) networks.
- Applying local and global network indices to quantify protein importance and system architecture.
- Conducting a case study to infer functional relationships between disease-associated proteins.
Main Results:
- Network analysis provides quantitative measures of protein importance within cellular systems.
- The study inferred potential functional relationships and connectedness among specific disease proteins.
- Demonstrated the capability of network analysis to support predictions in pathogenesis studies.
Conclusions:
- Network analysis is a valuable tool for enhancing biological databases and inferring novel protein functions.
- This approach aids in quantifying the positional importance of proteins in cellular networks.
- Systems perspective and network analysis are crucial for studying complex molecular processes in diseases.
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These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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02:04Protein-Protein Interfaces
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