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

4.5K
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,...
4.5K
Protein Networks02:26

Protein Networks

2.8K
2.8K
Network Covalent Solids02:18

Network Covalent Solids

16.1K
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...
16.1K
Network Function of a Circuit01:25

Network Function of a Circuit

663
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.
663
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

489
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...
489
Dynamics Of Circular Motion: Applications01:17

Dynamics Of Circular Motion: Applications

9.5K
Suppose a car moves on flat ground and turns to the left. The centripetal force causing the car to turn in a circular path is due to friction between the tires and the road. For this, a minimum coefficient of friction is needed, or the car will move in a larger-radius curve and leave the roadway. Let's now consider banked curves, where the slope of the road helps in negotiating the curve. The greater the angle of the curve, the faster one can take the curve. It is common for race tracks for...
9.5K

You might also read

Related Articles

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

Sort by
Same author

RSTG: Robust Generation of High Quality Spatial Transcriptomics Data using Beta Divergence Based AutoEncoder.

IEEE journal of biomedical and health informatics·2026
Same author

Optimizing genomics-aware clinical agents in precision oncology.

NPJ systems biology and applications·2026
Same author

Perceived versus measured drinking water quality in rural West Bengal, India: a comparative cross-sectional mixed-method case study.

Scientific reports·2026
Same author

Electronic Control of Emission Behavior in Atomically Precise Copper Nanoclusters.

JACS Au·2026
Same author

A cross-sectional study of environmental quality and the timing of menarche and menopause in India using national survey and environmental monitoring datasets.

Communications medicine·2026
Same author

Altered chromatin accessibility and nucleosome positioning landscape upon HDAC and LSD1 inhibition in cancer cell.

bioRxiv : the preprint server for biology·2026
Same journal

circ2DGNN: circRNA-Disease Association Prediction via Transformer-Based Graph Neural Network.

IEEE/ACM transactions on computational biology and bioinformatics·2024
Same journal

Hierarchical Hypergraph Learning in Association- Weighted Heterogeneous Network for miRNA- Disease Association Identification.

IEEE/ACM transactions on computational biology and bioinformatics·2024
Same journal

Discriminative Domain Adaption Network for Simultaneously Removing Batch Effects and Annotating Cell Types in Single-Cell RNA-Seq.

IEEE/ACM transactions on computational biology and bioinformatics·2024
Same journal

MLW-BFECF: A Multi-Weighted Dynamic Cascade Forest Based on Bilinear Feature Extraction for Predicting the Stage of Kidney Renal Clear Cell Carcinoma on Multi-Modal Gene Data.

IEEE/ACM transactions on computational biology and bioinformatics·2024
Same journal

An End-to-End Knowledge Graph Fused Graph Neural Network for Accurate Protein-Protein Interactions Prediction.

IEEE/ACM transactions on computational biology and bioinformatics·2024
Same journal

Generative Biomedical Event Extraction With Constrained Decoding Strategy.

IEEE/ACM transactions on computational biology and bioinformatics·2024
See all related articles

Related Experiment Video

Updated: Jan 23, 2026

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions
10:27

In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions

Published on: October 21, 2022

2.0K

Colored Network Motif Analysis by Dynamic Programming Approach: An Application in Host Pathogen Interaction Network.

Sourav Biswas, Sumanta Ray, Sanghamitra Bandyopadhyay

    IEEE/ACM Transactions on Computational Biology and Bioinformatics
    |June 21, 2019
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel method for discovering colored motifs, which are recurring subgraph patterns in complex networks. The research identified eight significant colored motifs in a host-pathogen protein interaction network, advancing network analysis.

    More Related Videos

    Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
    07:57

    Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

    Published on: August 21, 2019

    9.1K
    High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
    14:58

    High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

    Published on: March 5, 2022

    4.8K

    Related Experiment Videos

    Last Updated: Jan 23, 2026

    In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions
    10:27

    In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions

    Published on: October 21, 2022

    2.0K
    Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
    07:57

    Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

    Published on: August 21, 2019

    9.1K
    High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
    14:58

    High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions

    Published on: March 5, 2022

    4.8K

    Area of Science:

    • Computational Biology
    • Network Science
    • Bioinformatics

    Background:

    • Network motifs are fundamental building blocks revealing complex network topology.
    • Colored motifs extend traditional motifs by incorporating node and edge type information.
    • Efficiently discovering colored motifs is crucial for understanding biological networks.

    Purpose of the Study:

    • To develop and implement an efficient method for discovering colored motifs.
    • To adapt the g-trie data structure for storing and analyzing colored subgraphs.
    • To apply the developed method to a host-pathogen protein-protein interaction network.

    Main Methods:

    • Modified g-trie implementation for storing colored subgraphs.
    • Approximate subgraph enumeration for reduced runtime complexity.
    • Application to a host-pathogen protein-protein interaction network with distinct protein types (HIV-1 and human).

    Main Results:

    • Successfully discovered eight colored motifs of size three.
    • Identified six motifs comprising both HIV-1 and human proteins.
    • Found two motifs composed solely of human proteins.

    Conclusions:

    • The developed method efficiently discovers colored motifs in biological networks.
    • The identified motifs provide insights into host-pathogen interactions.
    • Colored motif analysis offers a more detailed understanding of complex network structures.