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
Network Function of a Circuit01:25

Network Function of a Circuit

894
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
894
Network Covalent Solids02:18

Network Covalent Solids

16.3K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.3K
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

503
A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
503
Causes of Similarity-Dissimilarity Effect01:26

Causes of Similarity-Dissimilarity Effect

264
The similarity-dissimilarity effect, a fundamental concept in social psychology, explains how interpersonal similarities and differences influence attraction and social interactions. This effect is supported by three key psychological perspectives: balance theory, social comparison theory, and consensual validation.Balance Theory and Cognitive ConsistencyBalance theory, developed by Fritz Heider, posits that individuals seek cognitive consistency in their relationships. When two people share...
264

You might also read

Related Articles

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

Sort by
Same author

A Stretchable and Tough Graphene Film Enabled by Mechanical Bond.

Angewandte Chemie (International ed. in English)·2024
Same author

Corrigendum to "HSF1, in association with MORC2, downregulates ArgBP2 via the PRC2 family in gastric cancer cells" [Biochim. Biophys. Acta. Mol. Basis. Dis. 2018 Apr;1864(4 Pt A):1104-1114/PMID: 29339121].

Biochimica et biophysica acta. Molecular basis of disease·2024
Same author

Marine sulfated glycans inhibit the interaction of heparin with S-protein of SARS-CoV-2 Omicron XBB variant.

Glycoconjugate journal·2024
Same author

Formation of brominated and nitrated byproducts during unactivated peroxymonosulfate oxidation of phenol.

Journal of hazardous materials·2024
Same author

MAMLCDA: A Meta-Learning Model for Predicting circRNA-Disease Association Based on MAML Combined With CNN.

IEEE journal of biomedical and health informatics·2024
Same author

Editorial: Heparan sulfate-binding proteins in health and disease.

Frontiers in molecular biosciences·2024

Related Experiment Video

Updated: Feb 16, 2026

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

4.9K

Refine gene functional similarity network based on interaction networks.

Zhen Tian1, Maozu Guo2,3, Chunyu Wang1

  • 1Department of computer Science and Engineering, Harbin Institute of Technology, Harbin, 150001, People's Republic of China.

BMC Bioinformatics
|January 4, 2018
PubMed
Summary
This summary is machine-generated.

Researchers developed a new method to build reliable gene functional similarity networks. This refined network (RGFSN) shows a scale-free architecture and excels in predicting protein complexes, highlighting its broad applicability.

Keywords:
Gene functional similarity networkGene ontologyReferenced gene association networkTopological similarity

More Related Videos

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.6K
Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.7K

Related Experiment Videos

Last Updated: Feb 16, 2026

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

4.9K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.6K
Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.7K

Area of Science:

  • Bioinformatics
  • Systems Biology
  • Network Biology

Background:

  • Biological interaction networks are crucial in modern research.
  • Protein-protein interaction networks are well-studied.
  • Gene functional similarity networks require further development.

Purpose of the Study:

  • To construct a reliable gene functional similarity network.
  • To enhance the application of gene functional networks.

Main Methods:

  • Integrated gene functional similarity network construction using diverse methods.
  • Referenced gene-gene association network creation from protein-protein interactions.
  • Refinement of integrated networks using referenced networks to remove spurious edges.

Main Results:

  • The refined gene functional similarity network (RGFSN) demonstrates scale-free, small-world, and modular properties.
  • Network degree distribution aligns with power law.
  • Successful protein complex prediction in humans using RGFSN.

Conclusions:

  • The developed method effectively constructs and refines gene functional similarity networks.
  • RGFSN exhibits high reliability and significant application potential.
  • This approach can facilitate the creation of other high-quality biological networks.