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

4.1K
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,...
4.1K
Drug Discovery: Overview01:26

Drug Discovery: Overview

9.3K
Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
9.3K

You might also read

Related Articles

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

Sort by
Same author

PGRNIG: novel parallel gene regulatory network identification algorithm based on GPU.

Briefings in functional genomics·2022
Same author

Single_cell_GRN: gene regulatory network identification based on supervised learning method and Single-cell RNA-seq data.

BioData mining·2022
Same author

A survey on protein-DNA-binding sites in computational biology.

Briefings in functional genomics·2022
Same author

Phage_UniR_LGBM: Phage Virion Proteins Classification with UniRep Features and LightGBM Model.

Computational and mathematical methods in medicine·2022
Same author

Reverse engineering gene regulatory network based on complex-valued ordinary differential equation model.

BMC bioinformatics·2021
Same author

Inference of Large-scale Time-delayed Gene Regulatory Network with Parallel MapReduce Cloud Platform.

Scientific reports·2018
Same journal

K-attention: a biologically informed attention operator for data-efficient sequence-based omics modeling.

Briefings in bioinformatics·2026
Same journal

Accurate prediction of asparagine deamidation in biologics using advanced machine learning models.

Briefings in bioinformatics·2026
Same journal

scImmuneCo: a compendium of cell-type-specific functional modules for decoding immune responses from single-cell RNA-seq data.

Briefings in bioinformatics·2026
Same journal

scGenoByte: a GenoByte embedding transformer with biological priors for cell type annotation.

Briefings in bioinformatics·2026
Same journal

FerroScore: a statistical approach for quantifying tumor-related ferroptosis based on omics data.

Briefings in bioinformatics·2026
Same journal

METEOR: a data-adaptive Mendelian randomization method for powerful detection of shared and specific exposures underlying multiple outcomes.

Briefings in bioinformatics·2026
See all related articles

Related Experiment Video

Updated: Oct 6, 2025

Network Pharmacology Prediction and Experimental Validation of Trichosanthes-Fritillaria thunbergii Action Mechanism Against Lung Adenocarcinoma
13:18

Network Pharmacology Prediction and Experimental Validation of Trichosanthes-Fritillaria thunbergii Action Mechanism Against Lung Adenocarcinoma

Published on: March 3, 2023

1.4K

Active disease-related compound identification based on capsule network.

Bin Yang1, Wenzheng Bao2, Jinglong Wang3

  • 1School of Information science and Engineering, Zaozhuang University, Zaozhuang, China 277160.

Briefings in Bioinformatics
|January 21, 2022
PubMed
Summary
This summary is machine-generated.

A new capsule network model accurately identifies pneumonia-related compounds in traditional Chinese medicine. This approach aids in developing targeted COVID-19 treatments with lower toxicity and higher efficiency.

Keywords:
capsule networkdrug prescriptionpharmacological mechanismpneumonia

More Related Videos

Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products
11:13

Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products

Published on: March 12, 2020

11.1K
Cellular Membrane Affinity Chromatography Columns to Identify Specialized Plant Metabolites Interacting with Immobilized Tropomyosin Kinase Receptor B
11:44

Cellular Membrane Affinity Chromatography Columns to Identify Specialized Plant Metabolites Interacting with Immobilized Tropomyosin Kinase Receptor B

Published on: January 19, 2022

2.6K

Related Experiment Videos

Last Updated: Oct 6, 2025

Network Pharmacology Prediction and Experimental Validation of Trichosanthes-Fritillaria thunbergii Action Mechanism Against Lung Adenocarcinoma
13:18

Network Pharmacology Prediction and Experimental Validation of Trichosanthes-Fritillaria thunbergii Action Mechanism Against Lung Adenocarcinoma

Published on: March 3, 2023

1.4K
Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products
11:13

Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products

Published on: March 12, 2020

11.1K
Cellular Membrane Affinity Chromatography Columns to Identify Specialized Plant Metabolites Interacting with Immobilized Tropomyosin Kinase Receptor B
11:44

Cellular Membrane Affinity Chromatography Columns to Identify Specialized Plant Metabolites Interacting with Immobilized Tropomyosin Kinase Receptor B

Published on: January 19, 2022

2.6K

Area of Science:

  • Computational biology
  • Pharmacology
  • Artificial intelligence in medicine

Background:

  • Pneumonia, including COVID-19, poses significant health risks, necessitating targeted drug development.
  • Understanding the pathogenesis of coronavirus is crucial for creating effective treatments.

Purpose of the Study:

  • To propose a novel disease-related compound identification model using capsule networks (CapsNet).
  • To identify pneumonia-related compounds within Qingre Jiedu injection for potential therapeutic applications.

Main Methods:

  • Collected and extracted pneumonia-related keywords, prescriptions, and active components.
  • Constructed a training dataset based on pharmacological mechanisms.
  • Extracted compound features as the input layer for the capsule network.
  • Trained and utilized CapsNet for compound identification.

Main Results:

  • CapsNet demonstrated superior accuracy in identifying disease-related compounds compared to traditional machine learning models (SVM, RF, gcForest) and forgeNet.
  • The model successfully identified relevant compounds in Qingre Jiedu injection.

Conclusions:

  • CapsNet is an effective and accurate tool for identifying disease-related compounds.
  • This methodology can accelerate the development of high-efficiency, low-toxicity drugs for pneumonia and COVID-19.