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 Discovery: Overview01:26

Drug Discovery: Overview

13.5K
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...
13.5K
Drug toxicity: Drug–Drug Interaction01:30

Drug toxicity: Drug–Drug Interaction

376
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...
376
Pharmacokinetics: Drug–Drug Interactions01:25

Pharmacokinetics: Drug–Drug Interactions

743
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...
743
Agonism and Antagonism: Quantification01:14

Agonism and Antagonism: Quantification

1.3K
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...
1.3K
Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

2.2K
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...
2.2K
Pharmacodynamics: Overview and Principles01:21

Pharmacodynamics: Overview and Principles

4.2K
Pharmacodynamics is a scientific field that delves into drugs' intricate biochemical, cellular, and physiological effects on the human body. The study of pharmacodynamics helps us understand how drugs interact with the body and elicit various responses.
Most drugs' effects result from their interactions with drug receptors or targets within the body. These interactions trigger specific responses at the cellular or systemic level. Drug receptors can be found on the surfaces of cells or...
4.2K

You might also read

Related Articles

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

Sort by
Same author

Contributions of intra- and extracellular antibiotic degradation to collective [Formula: see text]-lactam survival.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Predicting antimicrobial resistance for precision medicine.

Cell host & microbe·2026
Same author

Extreme diversity of phage amplification rates and phage-antibiotic interactions revealed by PHORCE.

PLoS biology·2025
Same author

Trace elements increase replicability of microbial growth.

Open biology·2025
Same author

Invade to evade: E. coli's gutsy survival strategies.

Cell host & microbe·2024
Same author

Assessing the precision of morphogen gradients in neural tube development.

Nature communications·2024

Related Experiment Video

Updated: Apr 13, 2026

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

12.9K

Systematic discovery of drug interaction mechanisms.

Guillaume Chevereau1, Tobias Bollenbach2

  • 1IST Austria, Klosterneuburg, Austria.

Molecular Systems Biology
|May 1, 2015
PubMed
Summary

Understanding how drug combinations affect bacterial growth is key to fighting resistance. This study reveals a general principle governing drug interactions, enabling prediction and uncovering cellular functions like polysaccharide and ATP synthesis that control these interactions.

Keywords:
Escherichia coliantibioticsdrug combination designdrug interaction mechanismsgeneral principles of biological systems

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

19.8K
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

4.7K

Related Experiment Videos

Last Updated: Apr 13, 2026

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

12.9K
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

19.8K
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

4.7K

Area of Science:

  • Microbiology and Molecular Biology
  • Systems Biology
  • Pharmacology

Background:

  • Drug combinations are vital for disease treatment, overcoming drug resistance, and understanding cell physiology.
  • Mechanisms underlying drug interactions, where combined effects differ from individual ones, are poorly understood.
  • Precise quantification of drug effects is needed to elucidate interaction mechanisms.

Purpose of the Study:

  • To systematically uncover the causes of drug interactions in bacteria.
  • To develop a quantitative framework for predicting drug combination effects.
  • To identify cellular functions that govern drug interactions.

Main Methods:

  • Developed a systematic approach using precise quantification of individual and joint antibiotic effects.
  • Studied genome-wide Escherichia coli gene deletion strains.
  • Analyzed drug interactions between antibiotics with distinct modes of action.

Main Results:

  • Drug interactions are robust to genetic perturbations, adhering to a general principle of bacterial growth.
  • This principle allows quantitative prediction of mutant growth rates under drug combinations.
  • Polysaccharide and ATP synthesis were identified as key cellular functions controlling multiple drug interactions.

Conclusions:

  • A conceptual framework for designing multidrug combinations based on predictable interactions was established.
  • Targeting polysaccharide and ATP synthesis can synthetically reshape drug interactions.
  • Universal mechanisms underlie most drug interactions, offering new therapeutic design strategies.