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

Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
Protein Networks02:26

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,...
Drug Discovery: Overview01:26

Drug Discovery: Overview

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...
Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...

You might also read

Related Articles

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

Sort by
Same author

Structure of ABCA tetrablock copolymer vesicles and their formation in selective solvents: a Monte Carlo study.

Langmuir : the ACS journal of surfaces and colloids·2011
Same author

Semicontinuous culture of Magnetospirillum gryphiswaldense MSR-1 cells in an autofermentor by nutrient-balanced and isosmotic feeding strategies.

Applied and environmental microbiology·2011
Same author

A retrospective study exploring the effects of intramuscular aripiprazole on QTc change in agitated medically ill patients.

Journal of clinical psychopharmacology·2011
Same author

Characterization and inventory of PCDD/Fs and PBDD/Fs emissions from the incineration of waste printed circuit board.

Environmental science & technology·2011
Same author

Bone turnover in passive smoking female rat: relationships to change in bone mineral density.

BMC musculoskeletal disorders·2011
Same author

Colloidal stability of magnetic iron oxide nanoparticles: influence of natural organic matter and synthetic polyelectrolytes.

Langmuir : the ACS journal of surfaces and colloids·2011

Related Experiment Video

Updated: Jun 22, 2026

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
07:40

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

Published on: May 27, 2021

Network-based multi-omics integrative analysis methods in drug discovery: a systematic review.

Wei Jiang1, Weicai Ye2, Xiaoming Tan1

  • 1School of Life Sciences, Hubei University, Wuhan, China.

Biodata Mining
|March 29, 2025
PubMed
Summary

Network-based multi-omics integration accelerates drug discovery. This review categorizes methods and evaluates their use in target identification, response prediction, and repurposing, highlighting challenges and future directions.

Keywords:
Biological networkData integrationDrug discoveryMulti-omicsNetwork analysisPrecision medicine

More Related Videos

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
08:31

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Published on: December 1, 2020

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
03:08

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

Related Experiment Videos

Last Updated: Jun 22, 2026

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions
07:40

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

Published on: May 27, 2021

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
08:31

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Published on: December 1, 2020

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
03:08

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Pharmacology

Background:

  • Multi-omics data integration is crucial for modern drug discovery.
  • Network-based methods offer powerful tools for analyzing complex biological data.
  • Systematic evaluation of these methods in drug discovery contexts is lacking.

Purpose of the Study:

  • To systematically review and categorize network-based multi-omics integration methods.
  • To evaluate the applications of these methods in key drug discovery stages.
  • To identify challenges and future research directions in the field.

Main Methods:

  • Comprehensive literature review (2015-2024) of network-based multi-omics integration in drug discovery.
  • Categorization of methods into network propagation/diffusion, similarity-based, graph neural networks, and network inference.
  • Analysis of applications in drug target identification, response prediction, and drug repurposing.

Main Results:

  • Identified four main categories of network-based multi-omics integration methods.
  • Demonstrated applications across drug target identification, response prediction, and repurposing.
  • Highlighted advantages and limitations of different methods for specific drug discovery tasks.

Conclusions:

  • Network-based multi-omics integration shows significant promise for advancing drug discovery.
  • Challenges include computational scalability, data integration complexities, and biological interpretability.
  • Future work should focus on temporal/spatial dynamics, model interpretability, and standardized evaluation frameworks.