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

Bioequivalence: Overview01:16

Bioequivalence: Overview

2.1K
Pharmaceutical equivalents, by definition, are drug products with the same active ingredient in the same quantities, encapsulated in identical dosage forms, and intended for the same administration routes. These pharmaceutical equivalents are deemed bioequivalent if the bioavailability of the active entity in the drug preparations is similar. Moreover, pharmaceutical equivalents demonstrating bioequivalence are also regarded as therapeutically equivalent. This means that when used as directed,...
2.1K
ER Retrieval Pathway01:45

ER Retrieval Pathway

4.9K
In the secretory pathway, vesicles transport proteins from one cellular compartment to another in forward transport to deliver the protein to its correct location. Occasionally, misfolded proteins and incorrect proteins escape their original compartments, and a retrieval pathway is used to return the escaped proteins to their original compartment.
The ER uses many checkpoints to prevent the entry of incorrectly folded or a resident protein as cargo onto a transport vesicle. These mechanisms...
4.9K
Targeted Cancer Therapies02:57

Targeted Cancer Therapies

9.0K
The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
There are several types of targeted therapies against...
9.0K
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

4.2K
4.2K
Ligand Binding and Linkage00:49

Ligand Binding and Linkage

5.7K
Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked.  In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence...
5.7K
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

You might also read

Related Articles

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

Sort by
Same author

Radiographic Characteristics of Jujube Pit Foreign Bodies in a Dog.

Veterinary sciences·2026
Same author

Two Cases of Fibrin Membrane-Induced Pupillary Block Treated With Neodymium-Doped Yttrium Aluminium Garnet (Nd:YAG) Laser After Cataract Surgery in Dogs.

Veterinary medicine and science·2026
Same author

Hyaluronic Acid-Based Photocurable Glue Application as an Alternative Surgical Approach for Corneal Injuries in Canine Patients: A Case Series.

Veterinary medicine and science·2026
Same author

From "negative" trial to positive clinical impact: mitigating eligibility criteria-induced temporal selection bias in emulated clinical trials.

npj health systems·2026
Same author

Deep learning based instance segmentation of mandarin fruit slices for precision assessment and morphological quantification.

Scientific reports·2026
Same author

High-throughput phenomic survey of seed morphological diversity in common and tartary buckwheat germplasm.

Scientific reports·2026

Related Experiment Video

Updated: Feb 28, 2026

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

2.2K

Supporting inter-topic entity search for biomedical Linked Data based on heterogeneous relationships.

Nansu Zong1, Sungin Lee2, Jinhyun Ahn2

  • 1Department of Biomedical Informatics, School of Medicine, University of California, San Diego, USA.

Computers in Biology and Medicine
|June 12, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces PERank, an algorithm enhancing biomedical entity search. It improves inter-topic searches by leveraging entity relationships, leading to more relevant results when keywords and preferences differ in topic.

Keywords:
Biomedical Linked DataInter-topic searchKeywords-based entity searchPersonalized PageRank

More Related Videos

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

9.3K
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: Feb 28, 2026

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

2.2K
Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

9.3K
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:

  • Biomedical Informatics
  • Data Science
  • Information Retrieval

Background:

  • Keyword-based entity search in biomedical linked data struggles with disparate topic inputs.
  • Existing search engines fail when search keywords and preferences do not align on the same biomedical topic.

Purpose of the Study:

  • To develop a method supporting inter-topic search in biomedical linked data.
  • To improve search result relevance when keywords and preferences belong to different topics.

Main Methods:

  • Developed PERank, an algorithm adapting Personalized PageRank (PPR).
  • PERank utilizes entity relationships and integrates keyword-based entity search (Siren).
  • Formalizes search results using precomputed Individual Personalized PageRank Vectors (IPPVs) based on search preferences and keyword query entities.

Main Results:

  • Experiments conducted on ten linked life datasets.
  • Evaluated both intra-topic (keyword-preference topic correspondence) and inter-topic (no correspondence) search scenarios.
  • Achieved a 14% increase in precision for inter-topic search compared to baseline keyword-based search.

Conclusions:

  • The proposed method enhances keyword-based biomedical entity search.
  • Successfully supports inter-topic search by utilizing relationships between different entities.
  • Maintains performance for intra-topic searches without negative impact.