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

4.6K
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,...
4.6K
Protein Networks02:26

Protein Networks

2.9K
2.9K
Protein-protein Interfaces02:04

Protein-protein Interfaces

14.9K
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...
14.9K
Protein-Protein Interfaces02:04

Protein-Protein Interfaces

4.5K
4.5K
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
Protein Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

2.2K
2.2K

You might also read

Related Articles

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

Sort by
Same author

Zirconium-Based Metal-Organic Framework for Efficient Photocatalytic Reduction of CO<sub>2</sub> to CO: The Influence of Doped Metal Ions.

ACS applied materials & interfaces·2020
Same author

Self-defensive antimicrobial biomaterial surfaces.

Colloids and surfaces. B, Biointerfaces·2020
Same author

Mono-Dispersed Microspheres Locally Assembled on Porous Substrates Formed through a Microemulsion Approach.

Polymers·2020
Same author

Downregulation of MiD49 contributes to tumor growth and metastasis of human pancreatic cancer.

Oncology reports·2020
Same author

Effect of artificial liver support system on short-term prognosis of patients with hepatitis B virus-related acute-on-chronic liver failure.

Artificial organs·2020
Same author

Metagenomic next-generation sequencing in the diagnosis of severe pneumonias caused by Chlamydia psittaci.

Infection·2020

Related Experiment Video

Updated: Feb 26, 2026

Mapping Dysfunctional Protein-Protein Interactions in Disease
09:39

Mapping Dysfunctional Protein-Protein Interactions in Disease

Published on: October 24, 2025

932

Neighbor Affinity-Based Core-Attachment Method to Detect Protein Complexes in Dynamic PPI Networks.

Xiujuan Lei1, Jing Liang2

  • 1School of Computer Science, Shaanxi Normal University, Xi'an 710119, China. xjlei@snnu.edu.cn.

Molecules (Basel, Switzerland)
|July 25, 2017
PubMed
Summary

This study introduces NABCAM, a new method for identifying protein complexes in dynamic protein-protein interaction (PPI) networks. NABCAM effectively predicts biologically significant protein complexes by considering network dynamics.

Keywords:
core-attachmentneighbor affinityprotein complexesprotein-protein interaction (PPI) network

More Related Videos

Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling
09:35

Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling

Published on: April 1, 2017

14.6K
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

Related Experiment Videos

Last Updated: Feb 26, 2026

Mapping Dysfunctional Protein-Protein Interactions in Disease
09:39

Mapping Dysfunctional Protein-Protein Interactions in Disease

Published on: October 24, 2025

932
Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling
09:35

Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling

Published on: April 1, 2017

14.6K
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

Area of Science:

  • Computational Biology
  • Systems Biology
  • Bioinformatics

Background:

  • Protein complexes are crucial for cellular functions.
  • Identifying protein complexes aids in understanding biological processes.
  • Existing methods often neglect the dynamic nature of protein-protein interaction (PPI) networks.

Purpose of the Study:

  • To propose a novel method, NABCAM (Neighbor Affinity-Based Core-Attachment Method), for identifying protein complexes.
  • To address the limitations of static PPI network analysis by incorporating network dynamics.
  • To effectively predict biologically significant protein complexes.

Main Methods:

  • Calculated centrality scores to identify seed proteins.
  • Expanded seed proteins into complex cores using neighbor similarity.
  • Appended attachments to cores by comparing intra-core and extra-core neighbor affinity.
  • Applied filtering processes for final clustering results.

Main Results:

  • NABCAM effectively identifies protein complexes from dynamic PPI networks.
  • The algorithm demonstrates superior performance compared to state-of-the-art methods.
  • Predicted protein complexes show significant biological relevance.

Conclusions:

  • NABCAM offers an effective approach for protein complex identification in dynamic PPI networks.
  • The method advances the understanding of cellular processes through accurate complex prediction.
  • NABCAM provides a valuable tool for computational biology research.