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

4.6K
4.6K
Protein Organization01:24

Protein Organization

9.9K
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....
9.9K
Conserved Binding Sites01:49

Conserved Binding Sites

5.3K
Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
5.3K

You might also read

Related Articles

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

Sort by
Same author

DA-HGL: a domain-augmented heterogeneous graph learning framework for protein function prediction.

Briefings in bioinformatics·2025
Same author

Association prediction of lncRNAs and diseases using multiview graph convolution neural network.

Frontiers in genetics·2025
Same author

Identifying Cancer Driver Pathways Based on the Mouth Brooding Fish Algorithm.

Entropy (Basel, Switzerland)·2023
Same author

Protein function annotation based on heterogeneous biological networks.

BMC bioinformatics·2022
Same author

A tensor-based bi-random walks model for protein function prediction.

BMC bioinformatics·2022
Same author

An efficient strategy for identifying essential proteins based on homology, subcellular location and protein-protein interaction information.

Mathematical biosciences and engineering : MBE·2022
Same journal

Mutational spectrum of SLC26A4 and SLC26A5 associated with hereditary hearing loss in Moroccan families.

Human genomics·2026
Same journal

National genomic projects in Asia and Africa: a review.

Human genomics·2026
Same journal

Analysis of whole-exome sequencing data from nearly 10,000 Iranian individuals: identification of recessive mitochondrial disease variants and proposal of a population-specific carrier screening panel.

Human genomics·2026
Same journal

Replicating lipid micelles: a feasible precursor to the origin of life and the earliest appearance of genomes.

Human genomics·2026
Same journal

Beckwith-Wiedemann spectrum exhibiting a 46,XY karyotype caused by genome-wide paternal uniparental heterodisomy: a case report.

Human genomics·2026
Same journal

Dynamic responses in the human methylome to exertional heat exhaustion, heat injury, and heat stroke.

Human genomics·2026
See all related articles

Related Experiment Video

Updated: Mar 14, 2026

Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling
11:19

Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling

Published on: November 17, 2019

17.2K

An efficient method for protein function annotation based on multilayer protein networks.

Bihai Zhao1, Sai Hu2, Xueyong Li1

  • 1Department of Mathematics and Computing Science, Changsha University, Changsha, Hunan, 410022, China.

Human Genomics
|September 29, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for protein function prediction using multilayer protein networks (MPN). The FP-MPN approach improves accuracy by integrating diverse biological data and considering different interaction types for better protein annotation.

More Related Videos

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
TurboID-Based Proximity Labeling for In Planta Identification of Protein-Protein Interaction Networks
07:02

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

Published on: May 17, 2020

26.3K

Related Experiment Videos

Last Updated: Mar 14, 2026

Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling
11:19

Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling

Published on: November 17, 2019

17.2K
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
TurboID-Based Proximity Labeling for In Planta Identification of Protein-Protein Interaction Networks
07:02

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

Published on: May 17, 2020

26.3K

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Systems Biology

Background:

  • Accurate protein function annotation is crucial for understanding biological processes.
  • Existing protein-protein interaction (PPI) network methods for function prediction suffer from noise and incompleteness.
  • Integrating diverse biological information can enhance prediction accuracy.

Purpose of the Study:

  • To develop a novel computational method for improved protein function prediction.
  • To address limitations of current methods by leveraging multilayer protein networks (MPN).
  • To investigate the impact of different interaction types on prediction accuracy.

Main Methods:

  • Constructed multilayer protein networks (MPN) integrating PPI, protein domains, and complex information.
  • Proposed the function prediction based on multilayer protein networks (FP-MPN) method.
  • FP-MPN analyzes each network layer to identify and score candidate functions for un-annotated proteins.

Main Results:

  • The FP-MPN method demonstrated superior performance in predicting protein functions compared to existing methods.
  • Integrating multiple biological data types within an MPN framework improved prediction accuracy.
  • The method effectively accounts for the varying importance of different interaction types.

Conclusions:

  • The proposed FP-MPN method offers a more accurate approach to protein function prediction.
  • Utilizing multilayer networks reduces noise and enhances the reliability of functional annotations.
  • This approach advances the understanding of protein interactions and functions.