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

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

Combined Effects of Drugs: Synergism

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...
Drug Biotransformation: Overview01:16

Drug Biotransformation: Overview

Pharmaceutical substances known as xenobiotics are predominantly lipophilic and nonionized. This enables them to permeate lipid bilayers, such as cell membranes, and interact with intracellular target receptors. Lipophilic drugs have an advantage in crossing biological barriers and reaching their intended sites of action. However, lipophilic drugs often have a restricted capacity for renal expulsion or elimination from the body. When these drugs enter the kidneys and undergo glomerular...
Prodrugs01:30

Prodrugs

Prodrugs are a class of pharmaceutical compounds that undergo a biotransformation process within the body to be converted into a pharmacologically active drug. Prodrugs are designed to improve the therapeutic properties of the parent drug, such as enhancing bioavailability, increasing stability, or reducing toxicity. The concept of prodrugs revolves around modifying the chemical structure of the original drug to make it more effective or convenient for administration.
Prodrugs help overcome...
Drug Metabolism: Phase II Reactions01:14

Drug Metabolism: Phase II Reactions

Phase II reactions are essential for the detoxification and elimination of drugs from the body. These reactions involve the conjugation of parent drugs or their phase I metabolites with endogenous molecules, resulting in more hydrophilic drug conjugates. The primary conjugation reactions in this phase are sulfation and glucuronidation. Both sulfation and glucuronidation typically produce biologically inactive metabolites. However, in some cases involving prodrugs, active metabolites may be...

You might also read

Related Articles

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

Sort by
Same author

Strengthening Spontaneous Adverse Drug Reaction Reporting in Vietnamese Provincial Hospitals: A Multicenter Clinical Pharmacy-Led Multifaceted Intervention.

Journal of the American College of Clinical Pharmacy : JACCP·2026
Same author

Pharmacists' perspectives on medication therapy management training needs for chronic disease care in Indonesian primary healthcare centers: a qualitative study across 32 provinces.

BMC medical education·2026
Same author

Effectiveness of a Structured Pharmacist-led Intervention in Improving Pediatric Outpatient Prescribing Quality in a Resource-limited Setting: A Pre-post Study.

Journal of research in pharmacy practice·2026
Same author

Outcomes for Hospitalized Men Noted to Have Problems Associated With Living Alone in the United States.

American journal of men's health·2026
Same author

Beliefs of medicine questionnaire: Translation, validation, and adaptation for post-acute coronary syndrome patients in the south of Sulawesi population, Indonesia.

Exploratory research in clinical and social pharmacy·2026
Same author

Drug-Related Problems in Outpatient Prescriptions Across Different Levels of Care in Vietnam: A Multicentre Cross-Sectional Study in a Resource-Constrained Health System.

Hospital pharmacy·2026
Same journal

A GenAI Pipeline for Violinist Kinematic Data Management.

Studies in health technology and informatics·2026
Same journal

AMAL-For-Qatar: A Comprehensive AI Ecosystem for Fetal Ultrasound Analysis - Project Overview and Achievements.

Studies in health technology and informatics·2026
Same journal

Longitudinal Treatment-Aware Multimodal AI for Dermatology: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Predicting Postpartum Depression Using Imbalance-Aware Machine Learning.

Studies in health technology and informatics·2026
Same journal

Validation of Deep-Learning Models for Autosegmentation of Brain Metastases.

Studies in health technology and informatics·2026
Same journal

Delay-Dependent Gating in Modular RNNs.

Studies in health technology and informatics·2026
See all related articles

Related Experiment Video

Updated: May 9, 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

Enabling complex queries to drug information sources through functional composition.

Lee Peters1, Jonathan Mortensen, Thang Nguyen

  • 1National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA.

Studies in Health Technology and Informatics
|August 8, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a functional composition model to simplify complex drug information queries. It enables users to link functions from drug terminologies APIs, like RxNorm and NDF-RT, for easier data retrieval.

More Related Videos

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
05:10

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

Published on: December 11, 2016

Related Experiment Videos

Last Updated: May 9, 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

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
05:10

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

Published on: December 11, 2016

Area of Science:

  • Biomedical Informatics
  • Computational Pharmacology

Background:

  • Drug information retrieval often requires complex queries across multiple terminologies.
  • Existing systems may lack interoperability between different drug databases and APIs.

Purpose of the Study:

  • To develop a functional composition model for creating complex queries to drug information sources.
  • To enable end-users to link functions from distinct APIs, specifically RxNorm and NDF-RT, for drug terminology data.

Main Methods:

  • Developed an ontology using Protégé to model functions from RxNorm and NDF-RT APIs, defining input/output semantics.
  • Created a set of rules to establish interoperable conditions for functional composition between API functions.
  • Operationally defined interoperability by executing rules on the ontology.

Main Results:

  • Demonstrated a functional composition model that successfully links functions from RxNorm and NDF-RT.
  • Illustrated support for common use cases, such as checking drug interactions (RxNorm) and deploying allergy lists based on drug properties (NDF-RT).
  • The model underpins the RxMix application for complex API queries.

Conclusions:

  • The functional composition model enhances usability for querying drug information sources.
  • This approach facilitates interoperability between drug terminologies, improving data access and application development.
  • The RxMix application leverages this model to provide advanced querying capabilities for RxNorm and NDF-RT data.