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

Graphs of Functions01:30

Graphs of Functions

347
Graphs of functions provide a visual representation of how output values change in response to varying inputs. Each point on the graph corresponds to an ordered pair, where the x-coordinate (independent variable) determines the horizontal position and the y-coordinate (dependent variable) determines the vertical position. Linear functions like y = x give a straight line, indicating a constant rate of change.Nonlinear functions display more complex behaviors. Even power functions generate...
347
Graphs of Trigonometric Functions01:29

Graphs of Trigonometric Functions

390
Trigonometric functions exhibit periodic and symmetrical behavior, deeply rooted in the unit circle. The sine and cosine functions correspond to the vertical and horizontal projections, respectively, of a point rotating counterclockwise around the circle. These functions trace smooth, repeating waveforms with identical periods and bounded ranges. The tangent function is defined as the ratio of sine to cosine and produces an unbounded curve that repeats every units, with vertical asymptotes...
390
Graphing the Wave Function01:13

Graphing the Wave Function

3.1K
Consider the wave equation for a sinusoidal wave moving in the positive x-direction. The wave equation is a function of both position and time. From the wave equation, two different graphs can be plotted.
3.1K
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
Network Function of a Circuit01:25

Network Function of a Circuit

712
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.
712
What is Conservation Biology?01:57

What is Conservation Biology?

24.4K
Conservation biology is a scientific field that focuses on the preservation of biodiversity in order to protect ecosystems while meeting the needs of the human population. Humans require properly functioning ecosystems to maintain our supply of natural resources, including food, medicines, and building materials.
24.4K

You might also read

Related Articles

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

Sort by
Same author

DASFAA 20202 Special Issue Editorial.

Data science and engineering·2020
Same author

Moderate-intensity rotating magnetic fields do not affect bone quality and bone remodeling in hindlimb suspended rats.

PloS one·2014
Same author

Databases for B-cell epitopes.

Methods in molecular biology (Clifton, N.J.)·2014
Same author

[Resource situation investigation about Rheum tanguticum and its sustainable utilization analysis in main production area of China].

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica·2014
Same author

Differences of urinary arsenic metabolites and methylation capacity between individuals with and without skin lesions in Inner Mongolia, Northern China.

International journal of environmental research and public health·2014
Same author

Au nanoparticles in carbon nanotubes with high photocatalytic activity for hydrocarbon selective oxidation.

Dalton transactions (Cambridge, England : 2003)·2014
Same journal

Mild oxidative stress and dietary epigenetic modulators direct DNA methylation remodeling toward stress-resilience pathways.

BMC genomics·2026
Same journal

Integrative ATAC-Seq and RNA-Seq analysis identifies key genes for intramuscular fat content in Laiwu pigs.

BMC genomics·2026
Same journal

A comprehensive long RNA landscape of multi-regional porcine lung-derived small extracellular vesicles.

BMC genomics·2026
Same journal

pGWAS-Portal: a comprehensive online platform for integrative post-genome-wide association study analysis.

BMC genomics·2026
Same journal

Physiological and transcriptomic analyses of Rosa persica in response to drought stress and functional validation of the transcription factor RpERF113-like.

BMC genomics·2026
Same journal

Integrated analysis of chromatin accessibility and transcriptome profiles in granulosa cells of sheep with different FecB genotypes.

BMC genomics·2026
See all related articles

Related Experiment Video

Updated: Feb 4, 2026

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke
05:30

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

493

Discovering large conserved functional components in global network alignment by graph matching.

Yuanyuan Zhu1, Yuezhi Li2, Juan Liu3

  • 1School of Computer Science, Wuhan University, Bayi Road, Wuhan, 430072, China. yyzhu@whu.edu.cn.

BMC Genomics
|September 27, 2018
PubMed
Summary
This summary is machine-generated.

GMAlign advances protein-protein interaction (PPI) network alignment by identifying large conserved functional components. This novel method enhances the discovery of biological pathways and protein complexes across species.

Keywords:
Graph matchingGraph theoryProtein-protein interaction network

More Related Videos

Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation
16:02

Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation

Published on: February 10, 2023

3.3K
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

Related Experiment Videos

Last Updated: Feb 4, 2026

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke
05:30

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

493
Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation
16:02

Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation

Published on: February 10, 2023

3.3K
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

Area of Science:

  • Computational Biology
  • Bioinformatics

Background:

  • Protein-protein interaction (PPI) network alignment is crucial for identifying conserved functional substructures across species.
  • Global PPI network alignment aims for maximum matching score but faces NP-hardness challenges in finding large conserved components.

Purpose of the Study:

  • To introduce GMAlign, a novel graph matching method for global PPI network alignment.
  • To improve the discovery of large conserved functional components and biological pathways between species.

Main Methods:

  • GMAlign employs a seed-based approach with gradual expansion for initial matching.
  • The method iteratively refines alignments using vertex cover for optimal results.
  • Evaluated on BioGRID dataset against state-of-the-art methods.

Main Results:

  • GMAlign achieves larger alignment sizes and identifies bigger, denser common connected subgraphs.
  • Demonstrates high biological quality through functional consistency and Gene Ontology term similarity.
  • Effectively detects large conserved biological pathways, yielding structurally and biologically meaningful results.

Conclusions:

  • GMAlign is a novel tool for global network alignment, excelling at discovering large conserved functional components in PPI networks.
  • Offers significant potential for biological applications like conserved pathway and protein complex discovery.
  • Software and datasets are publicly available for further research.