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

Measurement of Bioavailability: Pharmacodynamic Methods01:20

Measurement of Bioavailability: Pharmacodynamic Methods

136
Pharmacodynamic methods provide insights into a drug's effects on physiological processes over time and play a crucial role in understanding bioavailability and therapeutic efficacy. These methods can be broadly classified into acute pharmacological and therapeutic response approaches, each with distinct mechanisms and applications.The acute pharmacological response method directly correlates a drug's physiological effects, such as ECG or pupil diameter changes, to its time course in the body.
136
Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

1.6K
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...
1.6K
Dose-Response Relationship: Potency and Efficacy01:22

Dose-Response Relationship: Potency and Efficacy

6.2K
The potency of a drug is the measure of its ability to produce a biological response and can be compared by looking at the half-maximum effective concentration or EC50 values of different drugs. A lower EC50 value indicates higher potency of the drug. In the dose–response curve of two antihypertensive drugs, candesartan and irbesartan, a significant difference is observed in their EC50 values. A lower EC50 value for candesartan indicates that it is more potent than irbesartan, as it...
6.2K
Drug Discovery: Overview01:26

Drug Discovery: Overview

10.7K
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...
10.7K
Drug Biotransformation: Overview01:16

Drug Biotransformation: Overview

3.4K
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...
3.4K
Drug Biotransformation: Overview01:28

Drug Biotransformation: Overview

2.3K
Biotransformation, also known as drug metabolism, is a vital physiological process that chemically alters drugs, facilitating their elimination from the body and terminating their action. This process involves two main phases: phase I and phase II reactions. Phase I reactions, including oxidation, reduction, and hydrolysis, introduce or unmask polar functional groups on the drug molecule, thereby increasing its water solubility. By enhancing water solubility, the drug becomes more hydrophilic...
2.3K

You might also read

Related Articles

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

Sort by
Same author

[Diagnostic value of parameters of glucose metabolism as screening tests for insulinoma].

Zhonghua yi xue za zhi·2010
Same author

Cooperative binding of MgATP and MgADP in the trimeric P(II) protein GlnK2 from Archaeoglobus fulgidus.

Journal of molecular biology·2010
Same author

Autophagy plays an important role in sunitinib-mediated cell death in H9c2 cardiac muscle cells.

Toxicology and applied pharmacology·2010
Same author

Design and synthesis of novel benzimidazole derivatives as inhibitors of hepatitis B virus.

Bioorganic & medicinal chemistry·2010
Same author

Evaluation of genetic susceptibility loci for obesity in Chinese women.

American journal of epidemiology·2010
Same author

Up-regulation of death receptor 4 and 5 by celastrol enhances the anti-cancer activity of TRAIL/Apo-2L.

Cancer letters·2010
Same journal

LabSage: Structural-Semantic Decoupling for Enhanced Retrieval-Augmented Generation in Clinical Laboratories.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science·2026
Same journal

Evaluating Representation Embeddings from LLMs and Time-Series Foundation Models for Wearable Accelerometer-Based Health Prediction.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science·2026
Same journal

ClinNoteAgents: An LLM Multi-Agent System for Predicting and Interpreting Heart Failure 30-Day Readmission from Clinical Notes.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science·2026
Same journal

Mapping the Storm: Linking Tornado Paths to Emergency Room Surges Through Geocoded Patient Data.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science·2026
Same journal

Multi-Modal Deep Learning-Based Model to Predict Burkitt Lymphoma Recurrence.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science·2026
Same journal

A Multi-Model LLM Consensus Framework to Identify EHR-Predictable Eligibility Criteria in NSCLC Immunotherapy Trials.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science·2026
See all related articles

Related Experiment Video

Updated: Dec 20, 2025

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

10.1K

Using Entity Metrics to Understand Drug Repurposing.

Xin Li1,2, Ying Ding1,2, Wei Lu1

  • 1School of Information Management, Wuhan University, Wuhan, Hubei, China.

AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|June 2, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a Popularity Index to track academic interest in bio-entities during drug repurposing. This metric helps visualize drug development phases and identify new therapeutic opportunities.

More Related Videos

Multiparametric Tumor Organoid Drug Screening Using Widefield Live-Cell Imaging for Bulk and Single-Organoid Analysis
12:41

Multiparametric Tumor Organoid Drug Screening Using Widefield Live-Cell Imaging for Bulk and Single-Organoid Analysis

Published on: December 23, 2022

5.5K
Tracking Drug-induced Changes in Receptor Post-internalization Trafficking by Colocalizational Analysis
07:48

Tracking Drug-induced Changes in Receptor Post-internalization Trafficking by Colocalizational Analysis

Published on: July 3, 2015

9.1K

Related Experiment Videos

Last Updated: Dec 20, 2025

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

10.1K
Multiparametric Tumor Organoid Drug Screening Using Widefield Live-Cell Imaging for Bulk and Single-Organoid Analysis
12:41

Multiparametric Tumor Organoid Drug Screening Using Widefield Live-Cell Imaging for Bulk and Single-Organoid Analysis

Published on: December 23, 2022

5.5K
Tracking Drug-induced Changes in Receptor Post-internalization Trafficking by Colocalizational Analysis
07:48

Tracking Drug-induced Changes in Receptor Post-internalization Trafficking by Colocalizational Analysis

Published on: July 3, 2015

9.1K

Area of Science:

  • Pharmacology
  • Biomedical Informatics
  • Drug Discovery

Background:

  • Drug repurposing is a vital strategy in pharmaceutical development, offering a faster and more cost-effective route to new therapies.
  • Identifying key features across different stages of drug repurposing is crucial for optimizing the process.
  • Existing methods may lack a clear, quantifiable way to assess the evolving academic and research interest in biological entities relevant to drug repurposing.

Purpose of the Study:

  • To develop and validate a novel, transparent metric, the Popularity Index, for quantifying and visualizing changes in academic interest surrounding bio-entities.
  • To utilize this index to characterize the distinct phases of drug repurposing.
  • To provide a tool that aids pharmaceutical companies and researchers in identifying and advancing drug repurposing candidates.

Main Methods:

  • Extraction of relevant bio-entities from scientific literature.
  • Development of the Popularity Index, an entitymetric indicator, to measure academic interest.
  • Application of the Popularity Index to analyze the dynamic evolution of bio-entities across drug repurposing phases, using aspirin as a case study.

Main Results:

  • The Popularity Index effectively quantifies and visualizes the dynamic shifts in academic focus on bio-entities during drug repurposing.
  • Analysis of aspirin revealed distinct profiles corresponding to different stages of drug research and repurposing.
  • The study demonstrates the potential of the Popularity Index in understanding the lifecycle of bio-entities in drug development.

Conclusions:

  • The Popularity Index offers a valuable, easy-to-use tool for assessing research trends in drug repurposing.
  • This metric can guide pharmaceutical companies and researchers in strategic decision-making for drug discovery and repurposing efforts.
  • Visualizing the evolution of bio-entities through the Popularity Index enhances the understanding of the drug repurposing landscape.