Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Protein Networks

Protein Networks

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,...

Protein Networks

Protein Networks

Protein-protein Interfaces

Protein-protein Interfaces

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...

Protein Organization

Protein Organization

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....

Protein Dynamics in Living Cells

Protein Dynamics in Living Cells

Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...

Conserved Binding Sites

Conserved Binding Sites

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...

You might also read

Related Articles

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

Sort by

Same author

Machine Unlearning Based on Globally Refined Convergent Clustering for Health Survey Data-driven Prediction Model.

IEEE journal of biomedical and health informatics·2026

Same author

BCP-YOLO: a lightweight and interpretable YOLOv8-based framework for real-time coloreactal polyp detection.

BMC medical imaging·2026

Same author

Electronic and molecular dynamics mechanisms of wogonin adsorption on graphene nanocarriers.

Scientific reports·2026

Same author

Hybrid Mamba-CNN network for forward-looking sonar image segmentation with acoustic background suppression mechanism.

Neural networks : the official journal of the International Neural Network Society·2026

Same author

Construction and application of a traditional Chinese medicine syndrome differentiation and treatment model grounded in knowledge distillation and reinforcement learning.

Health information science and systems·2026

Same author

In-silico prediction of multi‑target mechanisms of Pinellia ternata phytochemicals in lung cancer: Evidence from a graph‑attention‑guided virtual screening and multi‑scale simulations.

PloS one·2026

Search research articles

Related Experiment Video

Updated: Dec 18, 2025

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

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

Published on: October 19, 2021

Identifying essential proteins in dynamic protein networks based on an improved h-index algorithm.

Caiyan Dai¹, Ju He², Kongfa Hu²

¹College of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine University, Nanjing, 210000, China. njucmdai@163.com.

BMC Medical Informatics and Decision Making

|June 20, 2020

Summary

This study introduces an improved h-index algorithm to accurately identify essential proteins in dynamic protein networks. The new method enhances accuracy and identifies more key proteins, aiding in understanding cellular mechanisms and drug development.

More Related Videos

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

Mapping Dysfunctional Protein-Protein Interactions in Disease

Mapping Dysfunctional Protein-Protein Interactions in Disease

Published on: October 24, 2025

Related Experiment Videos

Last Updated: Dec 18, 2025

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

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

Published on: October 19, 2021

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

Mapping Dysfunctional Protein-Protein Interactions in Disease

Mapping Dysfunctional Protein-Protein Interactions in Disease

Published on: October 24, 2025

Area of Science:

Systems Biology
Computational Biology
Bioinformatics

Background:

Essential proteins are crucial for cellular functions and evolution.
Identifying essential proteins aids in understanding cellular network structure and dynamics.
Existing dynamic protein network models overlook the time-varying roles of proteins.

Purpose of the Study:

To enhance the accuracy of essential protein identification in dynamic networks.
To develop a novel algorithm for improved essential protein detection.

Main Methods:

An improved h-index algorithm incorporating an attenuation coefficient method was developed.
The algorithm integrates previously neglected node information for better accuracy.
Performance was evaluated using metrics like monotonicity, SN, SP, PPV, and NPV.

Main Results:

The proposed algorithm accurately identifies essential proteins.
The method successfully identifies a greater number of essential proteins compared to existing approaches.
Experimental results validate the algorithm's effectiveness.

Conclusions:

The novel algorithm is more effective for identifying essential proteins in dynamic networks.
This research provides insights into life activity mechanisms.
The findings offer a theoretical basis for targeted drug development.