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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 Networks

Protein Networks

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-Protein Interfaces

Protein-Protein Interfaces

Covalently Linked Protein Regulators

Covalently Linked Protein Regulators

Covalently Linked Protein Regulators

Covalently Linked Protein Regulators

Proteins can undergo many types of post-translational modifications, often in response to changes in their environment. These modifications play an important role in the function and stability of these proteins. Covalently linked molecules include functional groups, such as methyl, acetyl, and phosphate groups, and also small proteins, such as ubiquitin. There are around 200 different types of covalent regulators that have been identified.
These groups modify specific amino acids in a protein....

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Related Experiment Video

Updated: Nov 29, 2025

TurboID-Based Proximity Labeling for In Planta Identification of Protein-Protein Interaction Networks

TurboID-Based Proximity Labeling for In Planta Identification of Protein-Protein Interaction Networks

Published on: May 17, 2020

A Robust Algorithm Based on Link Label Propagation for Identifying Functional Modules From Protein-Protein

Hao Jiang, Fei Zhan, Congtao Wang

IEEE/ACM Transactions on Computational Biology and Bioinformatics

|November 19, 2020

Summary

This summary is machine-generated.

This study introduces a robust link-driven label propagation algorithm (LLPA) for identifying functional modules in protein-protein interaction networks, effectively handling noisy data.

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Last Updated: Nov 29, 2025

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Area of Science:

Bioinformatics
Computational Biology
Systems Biology

Background:

Protein-protein interaction (PPI) networks are crucial for understanding cellular mechanisms.
Existing methods for identifying functional modules in PPI networks often fail when dealing with noisy links.
Noisy links are an inherent challenge in experimentally derived PPI data.

Purpose of the Study:

To develop a novel algorithm for robust identification of functional modules in PPI networks.
To address the limitations of current methods in handling noisy links within PPI networks.

Main Methods:

Proposed a link-driven label propagation algorithm (LLPA).
LLPA identifies functional modules by first detecting link clusters.
Incorporated two strategies for robustness: weighted link label updating and noisy label filtration.

Main Results:

LLPA demonstrates superior accuracy and robustness compared to eight other state-of-the-art algorithms.
Performance was evaluated on three real-world PPI networks.
The proposed strategies effectively mitigate the impact of noisy links.

Conclusions:

LLPA offers a more accurate and robust approach to functional module identification in PPI networks.
The method is particularly effective in handling the inherent noise present in biological interaction data.
This algorithm advances the analysis of cellular organization and mechanisms through improved PPI network analysis.