Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Protein Networks02:26

Protein Networks

4.7K
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,...
4.7K
Protein Networks02:26

Protein Networks

2.9K
2.9K
Protein-protein Interfaces02:04

Protein-protein Interfaces

15.0K
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...
15.0K
Protein-Protein Interfaces02:04

Protein-Protein Interfaces

4.6K
4.6K
Protein Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

2.2K
2.2K
Protein Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

3.0K
Groups of proteins may form a complex where each protein in this complex has a different role in the overall execution of the complex’s function. Often some of the proteins in the complex can be replaced by a closely related variant to give a complex that contains many of the same components yet is functionally distinct.
The SCF ubiquitin ligase is a protein complex of five individual proteins. This complex attaches ubiquitin to other target proteins to mark them for degradation. In order...
3.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Chemical space visualization at scale: a survey of end-to-end pipelines and dataset-size archetypes.

Journal of cheminformatics·2026
Same author

Comparison of Transthoracic Echocardiography (TTE) and Transesophageal Echocardiography (TEE) Guidance for Transcatheter Aortic Valve Replacement (TAVR) Performed Under Conscious Sedation: A Retrospective Study.

Cureus·2026
Same author

Pediatric Graves' Disease: Challenges Associated With Thyroidectomy and Perioperative Management in a Three-Year-Old Child.

Cureus·2025
Same author

Gene Expression-Based Cancer Classification for Handling the Class Imbalance Problem and Curse of Dimensionality.

International journal of molecular sciences·2024
Same author

A systematic review of machine learning techniques for stance detection and its applications.

Neural computing & applications·2023
Same author

Multiobjective optimization to reconstruct biological networks.

Bio Systems·2018

Related Experiment Video

Updated: Mar 17, 2026

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells
08:38

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells

Published on: March 3, 2015

14.0K

Protein complexes predictions within protein interaction networks using genetic algorithms.

Emad Ramadan1, Ahmed Naef2, Moataz Ahmed2

  • 1Department of Information and Computer Science, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia. eramadan@kfupm.edu.sa.

BMC Bioinformatics
|July 26, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a novel genetic algorithm for identifying protein complexes in protein-protein interaction networks. The new method accurately predicts protein complexes and outperforms existing algorithms.

Keywords:
Genetic algorithmsGraph clusteringProtein complex detectionProtein–protein interaction network

More Related Videos

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
06:50

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

2.7K
A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

70.0K

Related Experiment Videos

Last Updated: Mar 17, 2026

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells
08:38

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells

Published on: March 3, 2015

14.0K
Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
06:50

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

2.7K
A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

70.0K

Area of Science:

  • Systems biology
  • Bioinformatics
  • Computational biology

Background:

  • Protein-protein interaction (PPI) networks are crucial for understanding cellular functions.
  • Identifying modular structures, like protein complexes, within PPI networks is a key challenge in systems biology.
  • Existing clustering methods struggle with the unique properties of PPI networks, leading to suboptimal protein complex prediction.

Purpose of the Study:

  • To develop an advanced clustering algorithm for accurate protein complex prediction.
  • To address the limitations of current methods in analyzing complex biological networks.
  • To improve the understanding of functional modules within protein-protein interaction networks.

Main Methods:

  • A novel clustering algorithm utilizing genetic algorithms was developed.
  • An objective function was designed to support both exclusive and overlapping clustering approaches.
  • The algorithm's performance was rigorously evaluated using two gold-standard datasets.

Main Results:

  • The proposed algorithm successfully identified protein complexes significantly enriched in the gold-standard datasets.
  • The genetic algorithm-based method demonstrated superior performance compared to established algorithms.
  • The developed method provides a more accurate approach to predicting protein complexes.

Conclusions:

  • The new algorithm effectively identifies biologically relevant protein complexes.
  • This approach offers improved accuracy over existing methods like MCL, ClusterOne, and MCODE.
  • The source code is available for public use, facilitating further research and application.