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

Genomics02:02

Genomics

42.0K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
42.0K
Signal Sequences and Sorting Receptors01:41

Signal Sequences and Sorting Receptors

15.9K
Signal sequences are short amino acid sequences that guide newly synthesized proteins to their proper location within the cell. Classical signal sequences are fifteen to sixty amino acids long and present at the N-terminus of a polypeptide chain. Each signal sequence has a conserved segment of basic residues towards their N terminus, a hydrophobic core, and a C-terminus rich in polar residues. The C-terminus also contains a signal cleavage site and features a -3 -1 sequence motif. The -3-1...
15.9K
Synthetic Biology02:55

Synthetic Biology

5.8K
Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
5.8K
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

6.4K
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...
6.4K
Proteins: From Genes to Degradation02:11

Proteins: From Genes to Degradation

15.0K
Within a biological system, the DNA encodes the RNA, and the nucleotide sequence in the RNA further defines the amino acid sequence in the protein. This is referred to as “The Central Dogma of Molecular Biology” - a term coined by Francis Crick.  Central dogma is a firm principle in biology that defines the flow of genetic information within any life form. The two fundamental steps in central dogma are - transcription and translation.
Transcription is the synthesis of RNA...
15.0K
Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

2.2K
Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
2.2K

You might also read

Related Articles

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

Sort by
Same author

Relation Extraction with Instance-Adapted Predicate Descriptions.

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

Knowledge-Driven Cross-Document Relation Extraction.

Findings of ACL. ACL·2026
Same author

How important is domain-specific language model pretraining and instruction finetuning for biomedical relation extraction?

Natural language processing and information systems : ... International Conference on Applications of Natural Language to Information Systems, NLDB ... revised papers. International Conference on Applications of Natural Language to Info...·2025
Same author

Comparison of pipelines, seq2seq models, and LLMs for rare disease information extraction.

Natural language processing and information systems : ... International Conference on Applications of Natural Language to Information Systems, NLDB ... revised papers. International Conference on Applications of Natural Language to Info...·2025
Same author

Do LLMs Surpass Encoders for Biomedical NER?

Proceedings. IEEE International Conference on Healthcare Informatics·2025
Same author

A survey of NLP methods for oncology in the past decade with a focus on cancer registry applications.

Artificial intelligence review·2025

Related Experiment Video

Updated: Apr 17, 2026

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

Semantic Predications for Complex Information Needs in Biomedical Literature.

Delroy Cameron1, Ramakanth Kavuluru2, Olivier Bodenreider

  • 1Kno.e.sis Center, Wright State University, Dayton, OH 45435, USA.

IEEE International Conference on Bioinformatics and Biomedicine Workshops. IEEE International Conference on Bioinformatics and Biomedicine
|February 21, 2015
PubMed
Summary

This study introduces semantic predications from biomedical text to improve information retrieval for complex needs. This knowledge-driven approach facilitates document transitions and reduces user burden compared to traditional ranked lists.

Keywords:
background knowledgeliterature-based discoveryquestion answeringsemantic predicationstext mining

More Related Videos

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.7K
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

2.3K

Related Experiment Videos

Last Updated: Apr 17, 2026

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 Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.7K
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

2.3K

Area of Science:

  • Biomedical Informatics
  • Information Retrieval
  • Natural Language Processing

Background:

  • Complex biomedical information needs often require multi-document exploration.
  • Traditional ranked lists in information retrieval present challenges for users, including filtering irrelevant results and query reformulation.
  • Existing systems lack effective mechanisms for seamless document-to-document transitions.

Purpose of the Study:

  • To demonstrate the utility of semantic predications (assertions extracted from biomedical text) for enhancing document retrieval.
  • To offer an alternative to traditional query reformulation for complex information needs.
  • To establish a framework for document-to-document transitions based on extracted knowledge.

Main Methods:

  • Extraction of semantic predications from biomedical text.
  • Development of a knowledge-driven framework for document retrieval and transition.
  • Evaluation using precision and recall metrics on the 2006 TREC Genomics Track dataset.

Main Results:

  • Semantic predications facilitate the retrieval of relevant documents for complex information needs.
  • The proposed framework provides an effective alternative to query reformulation.
  • The approach enables efficient document-to-document transitions, reducing user effort.

Conclusions:

  • Semantic predications are valuable for improving biomedical information retrieval.
  • The novel knowledge-driven framework enhances the efficiency and usability of information access.
  • This approach addresses key limitations of traditional ranked list retrieval systems.