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

12.2K
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...
12.2K
Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

1.9K
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...
1.9K
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

6.2K
Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
6.2K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

500
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
500

You might also read

Related Articles

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

Sort by
Same author

Deep learning enabled decision support systems in epilepsy surgery: a scoping review.

npj health systems·2026
Same author

Impact of a Real-Time Virtual Rounding Queue on Neonatal Intensive Care Unit Rounding Practices: Survey Study of Clinicians' Perceptions.

JMIR pediatrics and parenting·2026
Same author

Biopsychosocial Determinants of Frailty in Older People Living With HIV in China: A Bayesian Network Analysis.

The Journal of the Association of Nurses in AIDS Care : JANAC·2026
Same author

Knowledge and perspectives on pharmacogenomic-guided antidepressant treatment among psychiatrists and primary care practitioners.

Pharmacogenetics and genomics·2026
Same author

Implementation of a Real-Time Virtual Rounding Queue on Neonatal Intensive Care Unit Rounding Practices: A Survey of Clinicians' Perceptions.

JMIR pediatrics and parenting·2026
Same author

Who receives psychiatry-focused pharmacogenomic testing, and is it associated with prescribing patterns and acute care utilisation in depression? Real-world evidence from a large health system.

EBioMedicine·2026
Same journal

Sensitivity Analyses of a Scoring System for a Contraception Decision Aid.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Improving electronic health record processing of large language models via retrieval-augmented generation: A case study on dietary supplements.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Developing a User-Centered Mobile Application Prototype: Bridging Lower-Limb Fracture Care from Skilled Nursing Facility and Back to the Community.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Automating Adjudication of Cardiovascular Events Using Large Language Models.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Predictive Factors and State-Level Barriers to Postpartum Birth Control Usage in the United States: Insights from PRAMS Phase 8.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
See all related articles

Related Experiment Video

Updated: Feb 24, 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

4.7K

Exploring and Comparing Existing Natural Product Databases Towards Whole Person Health Research.

Xiaoyi Chen1, Meijia Song2, Yu Hou1

  • 1Division of Computational Health Sciences, Department of Surgery, University of Minnesota, Minneapolis, MN, United States.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|February 23, 2026
PubMed
Summary
This summary is machine-generated.

Natural product (NP) databases like COCONUT, NP-MRD, and GSRS are fragmented, hindering whole person health research. Greater integration is needed to unlock the full potential of these vital drug discovery resources.

More Related Videos

Author Spotlight: Network Pharmacology and Molecular Docking to Decipher the Action of Jiawei Shengjiang San Against Diabetic Kidney Disease
08:15

Author Spotlight: Network Pharmacology and Molecular Docking to Decipher the Action of Jiawei Shengjiang San Against Diabetic Kidney Disease

Published on: May 10, 2024

1000
Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products
11:13

Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products

Published on: March 12, 2020

11.6K

Related Experiment Videos

Last Updated: Feb 24, 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

4.7K
Author Spotlight: Network Pharmacology and Molecular Docking to Decipher the Action of Jiawei Shengjiang San Against Diabetic Kidney Disease
08:15

Author Spotlight: Network Pharmacology and Molecular Docking to Decipher the Action of Jiawei Shengjiang San Against Diabetic Kidney Disease

Published on: May 10, 2024

1000
Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products
11:13

Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products

Published on: March 12, 2020

11.6K

Area of Science:

  • Drug discovery and development
  • Medicinal chemistry
  • Chemical biology

Background:

  • Natural products (NPs) are crucial in drug discovery but data is fragmented across databases.
  • This fragmentation limits comprehensive analysis for whole person health research.
  • Existing NP databases lack interoperability, hindering data-driven insights.

Purpose of the Study:

  • To compare three major natural product databases: COCONUT, NP-MRD, and GSRS.
  • To assess their scope, structural representation, metadata completeness, and accessibility.
  • To identify gaps and opportunities for enhancing NP database integration.

Main Methods:

  • Comparative analysis of COCONUT, NP-MRD, and GSRS.
  • Evaluation of database content, including chemical diversity, spectral data, and regulatory information.
  • Assessment of data accessibility and interoperability.

Main Results:

  • COCONUT excels in chemical diversity, NP-MRD in spectral/physical properties, and GSRS in regulatory classification.
  • Overlap between the databases is limited, indicating significant data redundancy and gaps.
  • Substantial gaps exist in integrating medical and pharmaceutical information within these NP databases.

Conclusions:

  • Current NP databases are insufficient for comprehensive whole person health research due to fragmentation.
  • Enhanced interoperability and data harmonization are critical for advancing computational models in natural product research.
  • Developing integrated NP resources is essential for supporting data-driven drug discovery and medicinal chemistry.