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Protein Networks

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
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,...

Protein-protein Interfaces

Protein-protein Interfaces

Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...

Protein Organization

Protein Organization

Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence....

Protein and Protein Structures

Protein and Protein Structures

Protein Complexes with Interchangeable Parts

Protein Complexes with Interchangeable Parts

Protein Folding

Protein Folding

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Related Experiment Video

Updated: Sep 8, 2025

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

Decoding protein structures with residue interaction networks.

Sol C Begue¹, Emanuela Leonardi¹, Silvio C E Tosatto²

¹Department of Biomedical Sciences, University of Padova, Padova, Italy.

Trends in Biochemical Sciences

|September 6, 2025

Summary

This summary is machine-generated.

Residue interaction networks (RINs) offer a powerful way to analyze protein structures predicted by AI. This study introduces RINs, detailing their construction, analysis, and applications in understanding protein properties and evolution.

Keywords:

allosterism artificial intelligence (AI)molecular dynamics simulation protein structure residue centrality residue interaction network (RIN)

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Published on: July 8, 2025

Area of Science:

Structural Biology
Computational Biology
Bioinformatics

Background:

Advances in protein structure prediction (e.g., AlphaFold) generate vast amounts of 3D structural data.
Analyzing complex protein structures requires sophisticated computational frameworks.
Residue Interaction Networks (RINs) provide a graph-based approach to interpret protein structural information.

Purpose of the Study:

To provide a comprehensive introduction to Residue Interaction Networks (RINs).
To explore diverse methods for constructing and analyzing RINs.
To highlight the application of RINs in understanding various aspects of protein science.

Main Methods:

Graph theory principles applied to protein structures.
Integration of RIN analysis with molecular dynamics (MD) simulations.
Utilizing artificial intelligence (AI) approaches for RIN construction and analysis.

Main Results:

Demonstrated versatility of RINs across multiple case studies.
RINs successfully applied to investigate protein thermostability and allosterism.
RINs shown to be effective for studying post-translational modifications (PTMs), homology, and protein evolution.

Conclusions:

RINs are a valuable tool for interpreting large-scale protein structural data.
Further refinement and integration of RINs hold significant potential for structural biology.
RINs facilitate deeper insights into protein function, dynamics, and evolutionary relationships.