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-protein Interfaces02:04

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 polypeptide...
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...
Drug-Receptor Bonds01:25

Drug-Receptor Bonds

Drug-receptor bonds are formed through various chemical forces when drugs interact with target cells. Covalent bonds, strong and irreversible, are exemplified by DNA-alkylating anticancer agents that inhibit cell division. However, such irreversible drug binding lacks selectivity and can modify the DNA of the surrounding healthy cells. Covalent binding often contributes to tissue toxicity, as seen with chloroform and paracetamol metabolites binding to the liver, causing hepatotoxicity.
In...
Drug-Receptor Interactions01:29

Drug-Receptor Interactions

Drug-receptor interaction describes the binding of receptors by drugs, but not all drug-receptor interactions result in activation and tissue response. For instance, the binding of agonists activates the receptor to generate a cellular reaction, while antagonists bind to receptors without causing their activation.
Several parameters, such as the drug's affinity for its receptor and its efficacy, which is its ability to activate the receptor, determine the drug's effect on the tissue.
Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

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 its...
Pharmacokinetics: Drug–Drug Interactions01:25

Pharmacokinetics: Drug–Drug Interactions

Drug interactions occur when the pharmacological effect of one drug is altered by another substance, either enhancing or diminishing its activity. The drug whose activity is altered is known as the object drug, and the substance causing the alteration is called the agent drug or the precipitant. The net effects of these interactions are mostly undesirable, leading to decreased effectiveness or increased adverse effects. In rare cases, interactions can be beneficial, such as the enhanced...

You might also read

Related Articles

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

Sort by
Same author

Later-generation epigenetic aging clocks outperform first-generation models in predicting survival in TCGA breast cancer.

Clinical epigenetics·2026
Same author

Full-Arch Trans-Sinus Implant Placement Using a Stackable Surgical Guide With Digitally Planned Antrostomy: A Case Report.

Case reports in dentistry·2026
Same author

Efficacy of a Hyaluronic Acid-Based Gel Versus 0.20% Chlorhexidine in Nonsurgical Periodontal Therapy: A Single-Blind Randomized Clinical Trial.

Oral diseases·2026
Same author

Comparative analysis of NSG and NBSGW mice for preclinical evaluation of gene-modified human hematopoietic stem and progenitor cells.

Stem cell research & therapy·2026
Same author

Determining the age of single cells using scMLEAge.

bioRxiv : the preprint server for biology·2026
Same author

Inference of admixture in dogs from whole genome sequences.

GigaByte (Hong Kong, China)·2026

Related Experiment Video

Updated: Jun 23, 2026

Development of Inhibitors of Protein-protein Interactions through REPLACE: Application to the Design and Development Non-ATP Competitive CDK Inhibitors
10:33

Development of Inhibitors of Protein-protein Interactions through REPLACE: Application to the Design and Development Non-ATP Competitive CDK Inhibitors

Published on: October 26, 2015

Defining interacting partners for drug discovery.

Matteo Pellegrini1

  • 1Protein Pathways, Inc., 21111 Oxnard Blvd, Woodland Hills, CA 91367, USA. matteope@proteinpathways.com

Expert Opinion on Therapeutic Targets
|April 2, 2003
PubMed
Summary

New technologies identify protein interactions and couplings, aiding drug discovery. These methods reveal how proteins function and suggest new therapeutic targets for diseases.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Genomics

Background:

  • Protein interactions are crucial for cellular functions.
  • Understanding these interactions is key to deciphering complex biological pathways.
  • Dysfunctional protein interactions are implicated in various diseases.

Purpose of the Study:

  • To review and categorize technologies for identifying protein interactions and couplings.
  • To highlight the significance of these methods in advancing drug discovery.
  • To provide an overview of current experimental and computational approaches.

Main Methods:

  • Direct methods: two-hybrid assays, protein fragment complementation, co-purification, protein chips.
  • Indirect methods: evolutionary analysis of protein pairs, correlated gene transcription, synthetic lethality, transcriptional regulator binding sites.

More Related Videos

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

Related Experiment Videos

Last Updated: Jun 23, 2026

Development of Inhibitors of Protein-protein Interactions through REPLACE: Application to the Design and Development Non-ATP Competitive CDK Inhibitors
10:33

Development of Inhibitors of Protein-protein Interactions through REPLACE: Application to the Design and Development Non-ATP Competitive CDK Inhibitors

Published on: October 26, 2015

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

  • Computational and experimental approaches to map protein interaction networks.

    • Main Results:

    • Categorization of protein interaction detection techniques into direct and indirect methods.
    • Demonstration of how protein couplings provide functional insights without direct binding evidence.
    • Integration of diverse methodologies for comprehensive protein interaction analysis.

    Conclusions:

    • Protein interaction and coupling data are vital for understanding protein function.
    • These insights facilitate the identification of novel drug targets within disease-relevant pathways.
    • Advancements in technology are accelerating the application of protein interaction studies in drug discovery.