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

Empathy02:34

Empathy

9.9K
Some researchers suggest that altruism operates on empathy. Empathy is the capacity to understand another person’s perspective, to feel what he or she feels. An empathetic person makes an emotional connection with others and feels compelled to help (Batson, 1991). Empathy can be expressed in several ways, including cognitive, affective, and motor. 
9.9K
Neural Regulation of Blood Pressure01:18

Neural Regulation of Blood Pressure

6.4K
The neural regulation of blood pressure involves intricate interactions between the autonomic nervous system (ANS) and cardiovascular system, ensuring adequate perfusion of tissues. This regulation primarily occurs through baroreceptor and chemoreceptor reflexes, involving both short-term and long-term mechanisms.
Baroreceptor Reflex
Baroreceptors, located in the carotid sinuses and aortic arch, detect changes in blood pressure. When blood pressure rises, these stretch-sensitive receptors...
6.4K
Neural Circuits01:25

Neural Circuits

2.4K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
2.4K
Classification of Neurotransmitters01:30

Classification of Neurotransmitters

4.7K
Neurotransmitters play a crucial role in the communication between neurons in the autonomic nervous system. Neurons in the autonomic nervous system can be cholinergic or adrenergic depending on the neurotransmitters synthesized. Cholinergic neurons use acetylcholine as their primary neurotransmitter. This includes all the preganglionic fibers of the sympathetic and pre- and postganglionic fibers of the parasympathetic nervous systems. In addition, neurons of the somatic nervous system also use...
4.7K
Neural Regulation01:37

Neural Regulation

42.7K
Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
42.7K
Protein Networks02:26

Protein Networks

4.4K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.4K

You might also read

Related Articles

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

Sort by
Same author

Genome-Wide Admixture and Association Study of Serum Selenium Deficiency to Identify Genetic Variants Indirectly Linked to Selenium Regulation in Brazilian Adults.

Nutrients·2024
Same author

K-RET: knowledgeable biomedical relation extraction system.

Bioinformatics (Oxford, England)·2023
Same author

Metagenomic binning with assembly graph embeddings.

Bioinformatics (Oxford, England)·2022
Same author

Text Mining for Building Biomedical Networks Using Cancer as a Case Study.

Biomolecules·2021
Same author

PPR-SSM: personalized PageRank and semantic similarity measures for entity linking.

BMC bioinformatics·2019
Same author

BO-LSTM: classifying relations via long short-term memory networks along biomedical ontologies.

BMC bioinformatics·2019
Same journal

Mapping the 3D Chromosome Organization of a Biosynthetic Gene Cluster by Capture Hi-C (CHi-C).

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Mapping the 3D Chromosome Organization of Streptomyces by Hi-C.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

CUT&Tag Epigenomic Profiling of Biosynthetic Gene Clusters in Arabidopsis thaliana.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Rhizobium rhizogenes-Mediated Hairy Root Transformation Protocol for Lotus japonicus and Other Legumes.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Characterization of Bioactive Saponins from Sea Cucumbers.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Methods for Functional Validation of Terpenoid Metabolic Clusters in Nicotiana benthamiana and Aspergillus oryzae.

Methods in molecular biology (Clifton, N.J.)·2026
See all related articles

Related Experiment Video

Updated: Dec 11, 2025

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

2.0K

Using Neural Networks for Relation Extraction from Biomedical Literature.

Diana Sousa1, Andre Lamurias2, Francisco M Couto2

  • 1LASIGE, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal. dfsousa@lasige.di.fc.ul.pt.

Methods in Molecular Biology (Clifton, N.J.)
|August 18, 2020
PubMed
Summary
This summary is machine-generated.

Automated relation extraction from biomedical literature is enhanced by combining multiple data representations and incorporating biomedical ontologies. This approach improves the understanding of biological systems and achieves state-of-the-art results.

Keywords:
Biomedical literatureDeep learningExternal sources of knowledgeNeural networksOntologiesRelation extraction

More Related Videos

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.0K
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

9.1K

Related Experiment Videos

Last Updated: Dec 11, 2025

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

2.0K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.0K
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

9.1K

Area of Science:

  • Biomedical Informatics
  • Computational Biology
  • Natural Language Processing

Background:

  • Biomedical literature is a key source for understanding biological systems through relation extraction.
  • Neural network algorithms, particularly deep learning with multichannel architectures, are advancing relation extraction.
  • Biomedical ontologies offer semantic and ancestry information crucial for enhancing relation extraction.

Purpose of the Study:

  • To investigate the impact of combining diverse data representations with biomedical ontologies for automated relation extraction.
  • To improve the accuracy and performance of extracting relations between biomedical concepts.

Main Methods:

  • Utilizing multichannel deep neural network architectures for processing multiple data representations.
  • Integrating biomedical ontologies to provide semantic context and hierarchical information.
  • Evaluating the performance of the proposed approach on relation extraction tasks.

Main Results:

  • The combination of multiple data representations in deep neural networks yields state-of-the-art results.
  • Incorporating biomedical ontologies significantly enhances relation extraction performance.
  • Optimizing data representation combinations leads to higher evaluation scores.

Conclusions:

  • Multimodal deep learning approaches augmented with biomedical ontologies are effective for biomedical relation extraction.
  • This strategy advances the comprehension of complex biological systems.
  • Further research into optimal data representation combinations can yield even greater improvements.