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

Drug toxicity: Drug–Drug Interaction01:30

Drug toxicity: Drug–Drug Interaction

Drug–drug interactions can precipitate toxicity through multiple mechanisms. Absorption interactions alter how drugs enter the body, exemplified when ranitidine increases the absorption of basic drugs, while cholestyramine decreases the levels of propranolol. Protein binding interactions occur when drugs share the same binding sites on plasma proteins. Drugs like aspirin and warfarin, when bound in excess, can lead to increased free drug concentrations, enhancing the potential for...
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...
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.
Pharmacokinetics: Drug–Food and Drug–Viral Interactions01:26

Pharmacokinetics: Drug–Food and Drug–Viral Interactions

A drug interaction occurs when the concurrent use of another drug, food, or an external substance alters the pharmacological activity of a drug. This interaction can modify the action of the original drug, affecting its effectiveness and safety.Drug–food interactions are significant as they impact drug absorption, metabolism, and excretion. For example, grapefruit juice is a well-known disruptor of drug metabolism. It inhibits the cytochrome P450 3A4 enzyme, crucial for the metabolism of many...
Factors Affecting Protein-Drug Binding: Drug Interactions01:23

Factors Affecting Protein-Drug Binding: Drug Interactions

Drug interactions are a critical aspect of pharmacology and can occur when two or more drugs compete for the same binding site. This competition can result in one drug displacing another, altering the effect of the displaced drug. Drug interactions are complex processes that rely heavily on how much of the displacer drug is present and how strongly it can bind to the same sites as the displaced drug.
Displacement interactions can have varying outcomes, ranging from toxicity to virtually...
Agonism and Antagonism: Quantification01:14

Agonism and Antagonism: Quantification

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...

You might also read

Related Articles

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

Sort by
Same author

GATSBI: improving context-aware protein embeddings through biologically motivated data splits.

Bioinformatics (Oxford, England)·2026
Same author

TikTok is a valuable data source for tracking the opioid crisis.

NPJ digital medicine·2026
Same author

Drug-Target Interaction Prediction with PIGLET.

bioRxiv : the preprint server for biology·2026
Same author

GATSBI: Improving context-aware protein embeddings through biologically motivated data splits.

bioRxiv : the preprint server for biology·2026
Same author

Biological data governance in an age of AI.

Science (New York, N.Y.)·2026
Same author

The Human Omnibus of Targetable Pockets.

Journal of cheminformatics·2025

Related Experiment Video

Updated: May 14, 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

Informatics confronts drug-drug interactions.

Bethany Percha1, Russ B Altman

  • 1Biomedical Informatics Program, Stanford University, Stanford, CA 94305, USA.

Trends in Pharmacological Sciences
|February 19, 2013
PubMed
Summary

Drug-drug interactions (DDIs) pose a significant public health risk, causing numerous hospitalizations annually. Informatics approaches offer promising solutions for detecting and predicting these dangerous interactions more effectively.

More Related Videos

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

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

Related Experiment Videos

Last Updated: May 14, 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

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

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

Area of Science:

  • Pharmacology
  • Biomedical Informatics
  • Public Health

Background:

  • Drug-drug interactions (DDIs) represent a major public health concern, leading to substantial healthcare utilization.
  • Current DDI detection methods, such as clinical trials and post-marketing surveillance, are inadequate for identifying all potential risks.
  • Many dangerous DDIs are not identified until after a drug is available to the public.

Purpose of the Study:

  • To review recent advancements in informatics approaches for drug-drug interaction (DDI) discovery.
  • To highlight the limitations of traditional DDI detection methods.
  • To explore the potential of computational methods for predicting novel DDIs.

Main Methods:

  • Review of informatics-based strategies for DDI discovery.
  • Analysis of data sources including electronic medical records, adverse event reports, and scientific literature.
  • Discussion of computational and statistical methodologies applied to DDI prediction.

Main Results:

  • Informatics approaches, including database construction and predictive modeling, are advancing DDI discovery.
  • Data mining of diverse sources like EHRs and adverse event reports aids in identifying known and potential DDIs.
  • Computational methods show promise in predicting novel DDIs that may be missed by traditional surveillance.

Conclusions:

  • Traditional DDI detection methods are insufficient to address the public health threat posed by drug interactions.
  • Informatics-driven strategies are crucial for enhancing the timely and accurate discovery of DDIs.
  • Future research should focus on leveraging advanced computational techniques for proactive DDI identification and risk mitigation.