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Updated: Aug 14, 2026
09:39
Mapping Dysfunctional Protein-Protein Interactions in Disease
Published on: October 24, 2025
Protein Self-Interaction in Cellular Function and Network Evolution: Molecular Mechanisms, AI-Driven Insights, and
Yuanxiao Gao1, Wenyu Zhang2, Guang Hu3,4
1School of Mathematics and Data Science, Shaanxi University of Science and Technology, Xi'an 710021, China.
International Journal of Molecular Sciences
|August 13, 2026
Summary
Protein self-interactions (homodimers/homo-oligomers) are vital for cellular functions but can cause diseases when dysregulated. This review covers methods to study these interactions and their links to human disorders.
Area of Science:
- Biochemistry and Molecular Biology
- Systems Biology
- Structural Biology
Background:
- Protein self-interaction is fundamental to cellular processes, dictating signaling network complexity.
- Dysregulated homotypic interactions contribute to diseases like neurodegeneration by forming toxic aggregates.
Purpose of the Study:
- To review experimental and computational methods for studying self-interacting proteins (SIPs).
- To explore the evolutionary basis and functional significance of SIPs.
- To summarize the link between pathological self-associations and human diseases.
Main Methods:
- Proximity labeling techniques for mapping protein interactions.
- Deep learning architectures and protein language models for structural dynamics analysis.
- Analysis of evolutionary trajectories within protein-protein interaction networks.
Main Results:
- SIPs are crucial for specificity, rewiring, and complexity in cellular networks.
- Aberrant SIPs lead to proteostasis disruption, toxic oligomer formation, and disease.
- Evolutionary analysis reveals dosage-balance constraints and functional advantages like allosteric modulation.
Conclusions:
- Understanding SIPs is key to deciphering cellular organization and function.
- Targeting homotypic interfaces presents a novel therapeutic strategy for diseases linked to aberrant protein self-association.
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