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

Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

84
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...
84
Targets for Drug Action: Overview01:26

Targets for Drug Action: Overview

11.3K
Drugs target macromolecules to modify ongoing cellular processes. Primary drug targets include receptors, ion channels, transporters, and enzymes.
Receptors are either membrane-spanning or intracellular proteins, which upon binding a ligand, get activated and transmit the signal downstream to elicit a response. Drugs bind receptors, either mimicking the action of endogenous ligands or blocking the receptor activity to bring about a modified response. Nearly 35% of approved drugs target the G...
11.3K
Drug Discovery: Overview01:26

Drug Discovery: Overview

13.3K
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...
13.3K
Protein Networks02:26

Protein Networks

4.7K
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,...
4.7K
Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

2.0K
Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
2.0K
Pharmacogenetics of Drug Targets: β₂-Adrenergic Receptors, Apo E, Thymidylate Synthase01:11

Pharmacogenetics of Drug Targets: β₂-Adrenergic Receptors, Apo E, Thymidylate Synthase

68
Genetic polymorphisms in drug targets have emerged as critical determinants of interindividual variability in drug response and toxicity. Pharmacogenomic investigations increasingly focus on identifying these variations to personalize and optimize therapeutic interventions. A drug target may be a receptor, enzyme, or signaling protein involved in pharmacologic responses or disease-related pathways. While early pharmacogenetic studies focused primarily on drug metabolism, current research...
68

You might also read

Related Articles

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

Sort by
Same author

Hepatocyte-specific Cas9-mediated editing of G6pc and Slc37a4 elicits comparable biochemical and regulatory responses between glycogen storage disease (GSD) type Ia and Ib mice.

Molecular metabolism·2026
Same author

Microvillus inclusion disease-associated MYO5B deficiency impairs endosome-to-mitochondrion iron transfer.

Gastroenterology report·2026
Same author

Untargeted Proteomics Profiling of Liver and Plasma in Fed and Fasted Liver-Specific Glycogen Storage Disease Type Ia (GSD Ia) Mice: Toward Potential Protein Biomarkers.

Journal of inherited metabolic disease·2026
Same author

Metabolic thermodynamics: pertinent reference state and energy potentials.

The FEBS journal·2026
Same author

Loss of Early Growth Response Protein 1 in the Liver Leads to Hepatic Lipid Accumulation Driven by an Imbalance Between Fatty Acid β-Oxidation and Oxidative Phosphorylation.

Gastro hep advances·2026
Same author

Proteomics profiling of serum and liver in GSD Ia and Ib patients: insights into complication mechanisms and circulation biomarkers.

Journal of translational medicine·2026

Related Experiment Video

Updated: Mar 31, 2026

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

1.1K

Drug target identification through systems biology.

Jurgen R Haanstra1, Barbara M Bakker1

  • 1Department of Pediatrics and Systems Biology Centre for Energy Metabolism and Ageing, University of Groningen, University Medical Center Groningen, The Netherlands; Department of Molecular Cell Physiology, Vrije Universiteit Amsterdam, The Netherlands.

Drug Discovery Today. Technologies
|October 15, 2015
PubMed
Summary

Understanding biological pathways quantitatively aids rational drug target selection. Network-based approaches reveal selective targets for microbes and cancer by comparing network drug responses.

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

5.6K
Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
10:21

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

Published on: February 23, 2024

4.0K

Related Experiment Videos

Last Updated: Mar 31, 2026

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

1.1K
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

5.6K
Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
10:21

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

Published on: February 23, 2024

4.0K

Area of Science:

  • Systems biology
  • Pharmacology
  • Computational biology

Background:

  • Rational drug target selection requires quantitative understanding of target roles in biological pathways.
  • Current methods may not fully capture the complex interactions within biological networks.

Purpose of the Study:

  • To review network-based approaches for rational drug target selection.
  • To illustrate the application of these methods in microbial and cancer research.
  • To identify strategies for discovering network-selective drug targets.

Main Methods:

  • Review of experimental and computational network-based approaches.
  • Analysis of biochemical network responses to drugs.
  • Comparative analysis of network drug responses in target and host cells.

Main Results:

  • Network-based approaches provide a quantitative framework for drug target selection.
  • Selective drug targets can be identified by comparing network responses in different cell types.
  • Demonstrated utility in microbial and cancer contexts.

Conclusions:

  • Quantitative network analysis enhances rational drug discovery.
  • Comparative network pharmacology can identify safer and more effective drug targets.
  • This approach holds promise for developing targeted therapies.