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

13.3K
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...
13.3K
Biosynthesis of Lipids01:29

Biosynthesis of Lipids

870
Microbial membranes exhibit remarkable diversity in lipid composition, reflecting evolutionary adaptations to various environmental conditions. The three domains of life—Bacteria, Archaea, and Eukarya—synthesize membrane lipids through distinct biosynthetic pathways, leading to fundamental structural differences that impact membrane stability, function, and adaptability.Fatty Acid-Based Lipids in Bacteria and EukaryaBacteria and eukaryotes share a common fatty acid biosynthesis...
870
Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

2.0K
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...
2.0K
Microbial Bioremediation of Hydrocarbons01:26

Microbial Bioremediation of Hydrocarbons

52
Bioremediation is an environmentally sustainable process that employs living organisms—primarily microorganisms—to degrade or neutralize pollutants from contaminated environments. In oil spills and hydrocarbon pollution, bioremediation involves the use of hydrocarbon-degrading bacteria to transform toxic compounds into less harmful substances. This approach leverages natural microbial metabolic processes and is considered both cost-effective and ecologically favorable compared to...
52
Five-Membered Heterocyclic Aromatic Compounds: Overview01:13

Five-Membered Heterocyclic Aromatic Compounds: Overview

6.1K
Heterocyclic aromatic compounds are cyclic compounds that are aromatic and have one or more heteroatoms—atoms other than carbon, in the ring. Depending upon the number of atoms present in the ring, they can be either five or six-membered. Examples of five-membered heterocyclic aromatic compounds include pyrrole, furan, thiophene, and imidazole. Pyrrole consists of one nitrogen atom having one lone pair of electrons. Furan and thiophene have one oxygen and one sulfur heteroatom,...
6.1K
Defenses Against Pathogens and Herbivores02:26

Defenses Against Pathogens and Herbivores

30.0K
Plants present a rich source of nutrients for many organisms, making it a target for herbivores and infectious agents. Plants, though lacking a proper immune system, have developed an array of constitutive and inducible defenses to fend off these attacks.
30.0K

You might also read

Related Articles

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

Sort by
Same author

Molecular basis of glutamine synthetase mediated utilization of ethanolamine from Mycobacterium tuberculosis.

Communications biology·2026
Same author

Development and Preliminary Mechanistic Evaluation of a Novel Liposomal QS-21 and CpG ODNs Adjuvant System for Enhancing Vaccine Immunogenicity.

Vaccines·2026
Same author

Survodutide for the Treatment of Obesity Disease in Japanese Participants: Rationale, Design and Baseline Characteristics of the Phase 3 SYNCHRONIZE-JP Trial.

Diabetes, obesity & metabolism·2026
Same author

Dual-system engineered bacteria and dendritic cells enable precise intratumoral IL-12 delivery and potent antitumor immunity.

Cell reports. Medicine·2026
Same author

Skeleton innovation <i>versus</i> structural diversification in terpenoid discovery: chemoinformatic insights from TeroKit.

Natural product reports·2026
Same author

Gut microbiota dysbiosis induced by tibial dyschondroplasia in turn accelerates disease pathogenesis through the gut-bone axis in broilers.

Poultry science·2026

Related Experiment Video

Updated: Mar 31, 2026

A Customizable Approach for the Enzymatic Production and Purification of Diterpenoid Natural Products
07:59

A Customizable Approach for the Enzymatic Production and Purification of Diterpenoid Natural Products

Published on: October 4, 2019

10.5K

TeroACT: A terpenoid bioactivity landscape and discovery platform.

XiaoJuan Shen1, Shijia Yan1, Xu Kang1

  • 1State Key Laboratory of Anti-Infective Drug Discovery and Development, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China.

Acta Pharmaceutica Sinica. B
|March 30, 2026
PubMed
Summary

This study built a comprehensive terpenoid knowledge graph and AI tools (TeroACT) to discover new drug candidates. TeroACT successfully identified terpenoids with anti-melanoma and anti-inflammatory activities, advancing drug discovery.

Keywords:
Anti-inflammatoryAnti-melanomaDeep learningDeep neural networkDisease predictionDrug repositionKnowledge graphTerpenoids

More Related Videos

Transient Expression in Nicotiana Benthamiana Leaves for Triterpene Production at a Preparative Scale
08:56

Transient Expression in Nicotiana Benthamiana Leaves for Triterpene Production at a Preparative Scale

Published on: August 16, 2018

18.4K
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

11.7K

Related Experiment Videos

Last Updated: Mar 31, 2026

A Customizable Approach for the Enzymatic Production and Purification of Diterpenoid Natural Products
07:59

A Customizable Approach for the Enzymatic Production and Purification of Diterpenoid Natural Products

Published on: October 4, 2019

10.5K
Transient Expression in Nicotiana Benthamiana Leaves for Triterpene Production at a Preparative Scale
08:56

Transient Expression in Nicotiana Benthamiana Leaves for Triterpene Production at a Preparative Scale

Published on: August 16, 2018

18.4K
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

11.7K

Area of Science:

  • Pharmacology and Cheminformatics
  • Computational Biology and Drug Discovery

Background:

  • Terpenoids possess diverse biological activities with significant pharmacological potential.
  • Data-driven deep learning models are vital for efficient feature representation and knowledge inference in modern drug discovery.
  • A comprehensive, multi-dimensional database is needed to map terpenoid-bioactivity profiles and explore their uncharted potential.

Purpose of the Study:

  • To construct a large-scale biological knowledge graph integrating terpenoids, targets, genes, and diseases.
  • To develop AI-driven predictive models for disease association and compound-protein interactions.
  • To create a user-friendly web platform (TeroACT) for accessing these resources and facilitating terpenoid bioactivity research.

Main Methods:

  • Integrated diverse data types (compounds, proteins, genes, diseases) to build a biological knowledge graph.
  • Developed network-based disease prediction and compound-protein interaction models.
  • Deployed resources on the TeroACT web platform (http://terokit.qmclab.com/teroact/) for user access.
  • Utilized in silico models for screening terpenoids against melanoma.
  • Validated findings using in vitro and in vivo experimental models.

Main Results:

  • Successfully constructed a large-scale biological knowledge graph of terpenoids and related entities.
  • Developed and deployed TeroACT, a web platform featuring predictive models for drug discovery.
  • Identified mollugin and columbianadin with validated anti-migration and anti-proliferative effects in melanoma via in silico, in vitro, and in vivo studies.
  • Discovered multiple terpenoids with anti-inflammatory properties through integrated computational and experimental approaches.

Conclusions:

  • TeroACT provides a comprehensive data resource and AI-driven tools, bridging the gap in terpenoid bioactivity research.
  • The platform facilitates efficient exploration of terpenoid bioactivity and supports the discovery of novel therapeutic agents.
  • This integrated approach accelerates the identification and validation of drug candidates from terpenoid compounds.