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

Pharmacovigilance01:19

Pharmacovigilance

1.0K
Post-marketing surveillance is a critical component of pharmaceutical regulation, often uncovering unanticipated adverse drug reactions (ADRs) once a drug is widely used over an extended period.
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
1.0K
Agonism and Antagonism: Quantification01:14

Agonism and Antagonism: Quantification

640
When drugs are administered, they can elicit either an agonist or antagonist effect on the body. Agonism occurs when a drug activates a specific receptor, triggering a biological response. On the other hand, antagonism happens when a drug binds to the same receptors but blocks their activation, thereby preventing a biological response.
To quantify these effects, researchers use a dose-response curve, which provides valuable information about the potency and efficacy of a drug. Potency refers to...
640
Combined Effects of Drugs: Antagonism01:30

Combined Effects of Drugs: Antagonism

9.4K
The combined effects of drugs can result in various interactions, of which an important type is antagonism. Antagonism is a mechanism where one drug inhibits or counteracts the effects of another drug. Antagonism can occur through various means, including receptor binding, allosteric modulation, functional interaction, chemical reactions, and pharmacokinetic processes.
The most common type is receptor antagonism, where one drug acts as an antagonist to block the effects of another drug by...
9.4K
Drug-Receptor Interactions01:29

Drug-Receptor Interactions

6.2K
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....
6.2K
Combined Effects of Drugs: Synergism01:27

Combined Effects of Drugs: Synergism

5.0K
Synergism is a useful mechanism where combining two or more drugs is more effective than each constituent used alone. Such combinations are also called supra-additive interactions. The drugs collectively enhance the final therapeutic effect by acting on different targets. Another advantage is that the low dose of each constituent drug is sufficient to achieve the desired effect. This helps reduce the duration of therapy and lower the adverse effects of these drugs.
Such synergistic combinations...
5.0K
Drug-Receptor Interaction: Antagonist01:28

Drug-Receptor Interaction: Antagonist

3.6K
An antagonist is a drug that binds strongly to a receptor without activating it. An antagonist prevents other molecules, such as neurotransmitters or hormones, from binding to the receptor and triggering a cellular response. Such interaction effectively hinders the normal physiological processes mediated by the receptor, resulting in various pharmacological effects depending on the specific receptor targeted.
Antagonists can be classified as competitive or noncompetitive based on their...
3.6K

You might also read

Related Articles

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

Sort by
Same author

A Comparative Cross-Sectional Study Between Gestational Diabetes Mellitus and Preeclampsia: Medication Adherence, Depression and Quality of Life.

International journal of women's health·2026
Same author

Role of Nanotechnology in Ischemic Stroke: Advancements in Targeted Therapies and Diagnostics for Enhanced Clinical Outcomes.

Journal of functional biomaterials·2025
Same author

Status of Inappropriate Complementary Feeding and Its Associated Factors Among Infants of 9-23 Months.

Nutrients·2025
Same author

Hypoglycemia and Alzheimer Disease Risk: The Possible Role of Dasiglucagon.

Cellular and molecular neurobiology·2024
Same author

Conjugated Linoleic Acid-Carboxymethyl Chitosan Polymeric Micelles to Improve the Solubility and Oral Bioavailability of Paclitaxel.

Pharmaceutics·2024
Same author

Connecting Pharmacists and Other Health Care Providers (HCPs) towards Drug Therapy Optimization: A Pharmaceutical Care Approach.

International journal of clinical practice·2023

Related Experiment Video

Updated: Sep 26, 2025

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

4.3K

Anti-DDI Resource: A Dataset for Potential Negative Reported Interaction Combinations to Improve Medical Research and

Abdullah Assiri1, Adeeb Noor2

  • 1Department of Clinical Pharmacy, College of Pharmacy, King Khalid University, Abha 62529, Saudi Arabia.

Journal of Healthcare Engineering
|April 19, 2022
PubMed
Summary

This study introduces an anti-drug-drug interaction (DDI) resource, identifying drug combinations with reported negative interactions. This resource aims to improve certainty in DDI assessments for healthcare practitioners.

More Related Videos

High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method
07:51

High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method

Published on: May 21, 2018

12.0K
Diagonal Method to Measure Synergy Among Any Number of Drugs
12:08

Diagonal Method to Measure Synergy Among Any Number of Drugs

Published on: June 21, 2018

18.8K

Related Experiment Videos

Last Updated: Sep 26, 2025

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

4.3K
High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method
07:51

High-throughput Identification of Synergistic Drug Combinations by the Overlap2 Method

Published on: May 21, 2018

12.0K
Diagonal Method to Measure Synergy Among Any Number of Drugs
12:08

Diagonal Method to Measure Synergy Among Any Number of Drugs

Published on: June 21, 2018

18.8K

Area of Science:

  • Pharmacology
  • Medical Informatics
  • Drug Safety

Background:

  • Drug-drug interactions (DDIs) are a significant concern in healthcare.
  • Current DDI screening relies heavily on software, often lacking real-world negative reporting.
  • Counterexamples and contradictory evidence for DDIs are often missing in existing resources.

Purpose of the Study:

  • To develop a novel anti-DDI resource comprising drug combinations with reported negative interactions.
  • To provide a dataset that challenges the current state-of-the-art in DDI assessment.
  • To enhance certainty in evaluating drug-drug interactions for clinical practice.

Main Methods:

  • Compiled a dataset of prospective negative reported DDI pairs from the top 200 most-used drugs.
  • Filtered identified DDIs using publicly free resources, a rule-based inference engine (10 interaction mechanisms), and commercial databases.
  • Removed pairs due to recent FDA approvals or clinical inapplicability.

Main Results:

  • Generated a final set of 827 drug pairs representing potentially negative reported interactions.
  • Identified 2110 DDIs (14.69%) in free resources, 11130 (77.48%) via inference engine, and 208 via commercial resources.
  • Successfully filtered and curated a unique resource of negative reported DDIs.

Conclusions:

  • The developed anti-DDI resource offers a novel approach to DDI evaluation.
  • This resource provides a foundation for thorough assessments by focusing on existing knowledge.
  • It aims to increase healthcare practitioners' certainty regarding specific DDIs.