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
Protein-protein Interfaces02:04

Protein-protein Interfaces

14.4K
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...
14.4K
Protein-Protein Interfaces02:04

Protein-Protein Interfaces

4.4K
4.4K
Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

14.0K
Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to...
14.0K
Protein Diffusion in the Membrane01:24

Protein Diffusion in the Membrane

5.4K
Proteins show rotational as well as lateral diffusion across the membrane. The lateral diffusion of proteins was confirmed through the cell fusion experiment where mouse and human cells were fused, resulting in hybrid cells. When the human and mouse cells fused, the specific membrane proteins on human and mouse cells were marked with the red and green-fluorescent markers, respectively. Initially, the red and green fluorescence was located on the respective hemisphere of the cell. As time...
5.4K

You might also read

Related Articles

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

Sort by
Same author

Clinical Efficacy of Levocarnitine-Alprostadil Combination Therapy on Indicators of Renal Function, Oxidant-Antioxidant Balance, and Systemic Inflammation in Patients with End-Stage Diabetic Nephropathy.

Therapeutics and clinical risk management·2026
Same author

Prediction of Prostate Adenocarcinoma Recurrence Prognosis and Immune Status Through 6-Acetoxy-Anopterine Resistance-Associated Programmed Cell Death Genes.

Cancer management and research·2026
Same author

A time-updated scoring system derived from a nomogram to predict 3-month mortality in maintenance hemodialysis patients.

Frontiers in aging·2026
Same author

Confinement and Self-Supply of Carbon Sources by Micro-Containers Enable Efficient In Situ Growth of Carbon Nanotubes for Li-Ion Storage.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

A Unique Gradiently-Distorted O3-type Configuration for High-Performance Li-Rich Layered Oxides by Electrochemically-Driven Ion-Exchange Doping Annealing.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Analysis of Factors Related to Arteriovenous Fistula Expansion in Non-Diabetic Maintenance Hemodialysis Patients Based on Vascular Ultrasound.

Alternative therapies in health and medicine·2025

Related Experiment Video

Updated: Jan 12, 2026

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

1.2K

A Local-Global Multi-View Diffusion Variational Graph Auto-Encoder for lncRNA-Protein Interaction Prediction.

Dongdong Mao, Ying Sun

    IEEE Journal of Biomedical and Health Informatics
    |October 31, 2025
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new computational model, LG-MDVGA, to predict long non-coding RNA-protein interactions (LPIs). The model enhances feature fusion and captures complex biomolecular interactions for improved accuracy and generalizability in biological data analysis.

    More Related Videos

    Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
    09:47

    Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

    Published on: December 15, 2023

    1.7K
    JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
    07:28

    JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

    Published on: October 19, 2021

    3.6K

    Related Experiment Videos

    Last Updated: Jan 12, 2026

    Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
    03:37

    Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

    Published on: March 1, 2024

    1.2K
    Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
    09:47

    Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

    Published on: December 15, 2023

    1.7K
    JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
    07:28

    JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

    Published on: October 19, 2021

    3.6K

    Area of Science:

    • Computational biology
    • Genomics
    • Bioinformatics

    Background:

    • Long non-coding RNAs (lncRNAs) play crucial roles in cellular processes and disease.
    • Predicting lncRNA-protein interactions (LPIs) is vital but challenged by limited data and inadequate feature engineering.
    • Existing computational methods, including variational graph auto-encoders (VGAE), struggle with long-range interactions and data generalization.

    Purpose of the Study:

    • To develop an advanced computational framework, the Local-Global Multi-View Diffusion Variational Graph Auto-encoder (LG-MDVGA), for accurate LPI prediction.
    • To overcome limitations of current methods in feature fusion, data utilization, and capturing complex biomolecular relationships.
    • To enhance the generalizability and predictive performance of LPI prediction models across diverse biological datasets.

    Main Methods:

    • Introduced LG-MDVGA, integrating a feature construction and fusion module with parameterized feature matrices updated via backpropagation.
    • Employed adaptive local multi-modal feature matrices for lncRNAs and proteins to capture local features.
    • Incorporated global multi-space collaborative computation via self-supervised learning to leverage limited data and capture global features.
    • Developed a diffusion variational graph auto-encoder (DVGA) to better model complex LPI patterns and long-range interactions.

    Main Results:

    • LG-MDVGA significantly outperformed existing methods in predicting LPIs.
    • The model demonstrated superior performance across five diverse datasets, including predictions for three other biological entity types.
    • Achieved high precision and enhanced generalizability in predicting associations among biological entities.

    Conclusions:

    • LG-MDVGA represents a significant advancement in computational LPI prediction.
    • The model's ability to integrate local and global features and capture complex interactions leads to superior accuracy and generalizability.
    • LG-MDVGA shows strong potential for discovering novel LPIs and predicting associations across various biological entities.