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Updated: Jun 4, 2026

Mapping Dysfunctional Protein-Protein Interactions in Disease
Published on: October 24, 2025
Landscape mapping of functional proteins in insulin signal transduction and insulin resistance: a network-based
Chiranjib Chakraborty1, Sanjiban S Roy, Minna J Hsu
1School of Bioscience and Technology, VIT University, Vellore, India.
Abstract:
The type 2 diabetes has increased rapidly in recent years throughout the world. The insulin signal transduction mechanism gets disrupted sometimes and it's known as insulin-resistance. It is one of the primary causes associated with type-2 diabetes. The signaling mechanisms involved several proteins that include 7 major functional proteins such as INS, INSR, IRS1, IRS2, PIK3CA, Akt2, and GLUT4. Using these 7 principal proteins, multiple sequences alignment has been created. The scores between sequences also have been developed. We have constructed a phylogenetic tree and modified it with node and distance. Besides, we have generated sequence logos and ultimately developed the protein-protein interaction network. The small insulin signal transduction protein arrangement shows complex network between the functional proteins.
Insights
Type 2 diabetes is rising globally. This study analyzes key insulin signaling proteins, revealing a complex interaction network crucial for understanding insulin resistance and diabetes.
Area of Science:
- Biochemistry
- Molecular Biology
- Genomics
Background:
- Type 2 diabetes mellitus (T2DM) is a growing global health concern.
- Insulin resistance, a disruption in insulin signal transduction, is a primary driver of T2DM.
- The insulin signaling pathway involves critical proteins like INS, INSR, IRS1, IRS2, PIK3CA, Akt2, and GLUT4.
Purpose of the Study:
- To investigate the molecular interactions within the insulin signaling pathway.
- To analyze the relationships between key functional proteins involved in insulin transduction.
- To provide insights into the complex network underlying insulin resistance.
Main Methods:
- Multiple sequence alignment of seven key insulin signaling proteins.
- Phylogenetic tree construction and modification.
- Generation of sequence logos and protein-protein interaction network analysis.
Main Results:
- Established sequence alignments and scores for the identified proteins.
- Developed a phylogenetic tree illustrating evolutionary relationships.
- Constructed a protein-protein interaction network highlighting functional associations.
Conclusions:
- The insulin signal transduction pathway exhibits a complex network structure among its functional proteins.
- Understanding these interactions is vital for elucidating the mechanisms of insulin resistance.
- This network analysis offers a foundation for future research into T2DM pathogenesis.
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