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 Nomenclature01:17

Drug Nomenclature

2.8K
During the development of a new pharmaceutical, the manufacturer initially assigns a code name to the drug. Once approved, the drug receives a United States Adopted Name (USAN)—a generic, nonproprietary designation. Upon being listed in the United States Pharmacopeia, this nonproprietary name becomes the drug's official name. Additionally, the manufacturer assigns a proprietary name or trademark, which serves as the brand name under which the drug is marketed. It is worth noting that...
2.8K
Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

7.9K
Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
7.9K
Nomenclature of Aryl and Heterocyclic Amines01:10

Nomenclature of Aryl and Heterocyclic Amines

3.0K
The simplest aromatic amine is phenylamine, which contains an –NH2 functionality directly attached to an aromatic ring. The name aniline is designated for this skeleton. As shown in Figure 1, the common names of the functionalized anilines involve prefixes ortho-, meta-, and para- to indicate the substitution position. Different functionalized aniline derivatives also have notable trivial names.
3.0K
Drug Discovery: Overview01:26

Drug Discovery: Overview

10.7K
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...
10.7K
Molecular Compounds: Formulas and Nomenclature03:10

Molecular Compounds: Formulas and Nomenclature

54.8K
Molecular compounds or covalent compounds result when atoms share electrons to form covalent bonds. Since there is no electron transfer, molecular compounds do not contain ions; instead, they consist of discrete, neutral molecules. 
54.8K
Chemical Symbols01:09

Chemical Symbols

10.1K
A chemical symbol is an abbreviation that is used to indicate an element or an atom of an element. For example, the symbol for mercury is Hg. We use the same symbol to indicate one atom of mercury (microscopic domain) or to label a container of many atoms of the element mercury (macroscopic domain).
Some symbols are derived from the common name of the element; others are abbreviations of the name in another language. Most symbols have one or two letters, but three-letter symbols have been used...
10.1K

You might also read

Related Articles

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

Sort by
Same author

Automated evaluation can distinguish the good and bad AI responses to patient questions about hospitalization.

NPJ digital medicine·2026
Same author

PrecLLM: A Privacy-Preserving Framework for Efficient Clinical Annotation Extraction from Unstructured EHRs using Small-Scale LLMs.

Research square·2026
Same author

Evaluating Large Language Models for Transparent Quality-of-Care Measurement in Children with ADHD.

medRxiv : the preprint server for health sciences·2026
Same author

Early ctDNA stratifies survival in locally advanced and oligometastatic lung cancer treated with radiotherapy.

Clinical cancer research : an official journal of the American Association for Cancer Research·2026
Same author

Quantifying Hallucinations in Language Language Models on Medical Textbooks.

ArXiv·2026
Same author

BioACE: An Automated Framework for Biomedical Answer and Citation Evaluations.

ArXiv·2026

Related Experiment Video

Updated: Dec 20, 2025

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods
05:34

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

Published on: June 6, 2025

1.5K

Chemical Entity Recognition for MEDLINE Indexing.

Max E Savery1, Willie J Rogers1, Malvika Pillai1

  • 1Lister Hill National Center for Biomedical Communications, U.S. National Library of Medicine, National Institutes of Health, Bethesda, MD.

AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|June 2, 2020
PubMed
Summary

A new study evaluated eleven chemical entity recognition systems for indexing scientific literature. The SciBERT ensemble demonstrated the highest performance in recognizing chemical entities for both indexing and broader applications.

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

9.1K
Identifying Per- and Polyfluorinated Chemical Species with a Combined Targeted and Non-Targeted-Screening High-Resolution Mass Spectrometry Workflow
09:04

Identifying Per- and Polyfluorinated Chemical Species with a Combined Targeted and Non-Targeted-Screening High-Resolution Mass Spectrometry Workflow

Published on: April 18, 2019

13.0K

Related Experiment Videos

Last Updated: Dec 20, 2025

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods
05:34

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

Published on: June 6, 2025

1.5K
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
Identifying Per- and Polyfluorinated Chemical Species with a Combined Targeted and Non-Targeted-Screening High-Resolution Mass Spectrometry Workflow
09:04

Identifying Per- and Polyfluorinated Chemical Species with a Combined Targeted and Non-Targeted-Screening High-Resolution Mass Spectrometry Workflow

Published on: April 18, 2019

13.0K

Area of Science:

  • Biomedical Informatics
  • Natural Language Processing
  • Scientific Literature Analysis

Background:

  • Chemical entity recognition is crucial for indexing scientific literature in MEDLINE.
  • The current Medical Text Indexer tool was adapted for chemical recognition, not originally designed for it.
  • Existing methods rely on MetaMap and custom rules, prompting a need for improved tools.

Purpose of the Study:

  • To develop and evaluate a more suitable tool for chemical entity recognition.
  • To assess the performance of eleven chemical recognition systems on a curated dataset.
  • To identify a system effective for both MEDLINE indexing and general chemical entity recognition.

Main Methods:

  • Created a dataset of 200 MEDLINE titles and abstracts annotated with chemical entities.
  • Evaluated eleven distinct chemical entity recognition systems using this dataset.
  • Utilized a SciBERT ensemble as one of the evaluated systems.

Main Results:

  • The SciBERT ensemble achieved the highest performance among the evaluated systems.
  • The study identified a system effective for both indexing and broader chemical recognition tasks.
  • Performance metrics indicated superior accuracy with the SciBERT ensemble.

Conclusions:

  • The SciBERT ensemble shows significant promise for advancing chemical entity recognition in scientific literature.
  • This research provides a benchmark for evaluating chemical recognition tools.
  • Improved chemical entity recognition can enhance the indexing and retrieval of scientific information.