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

Molecular Models02:00

Molecular Models

45.3K
Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
45.3K
Molecular Shapes01:18

Molecular Shapes

63.3K
Molecules have characteristic shapes that are crucial for their function. The arrangement of various electron groups around the central atom dictates their molecular geometry. Electron pairs in the valence shell of a central atom will adopt an arrangement that minimizes repulsions between the electron pairs by maximizing the distance between them. The valence electrons form either bonding pairs, located primarily between bonded atoms, or lone pairs.
Two regions of electron density in a diatomic...
63.3K
Introduction to Functional Groups02:08

Introduction to Functional Groups

38.4K

Functional groups are group of atoms with specific chemical properties that occur within organic molecules and sometimes denoted as “R”. Functional groups are found along the carbon backbone of macromolecules can form chains or rings of carbon atoms. Functional groups can “functionalize” a compound by enabling it to adopt different physical and chemical properties.  
Types of common functional groups
The table below summarizes some of the major functional groups in organic chemistry....
38.4K
Protein Networks02:26

Protein Networks

4.7K
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,...
4.7K
Structural Isomerism02:34

Structural Isomerism

22.4K
Isomerism in Complexes
Isomers are different chemical species that have the same chemical formula. Structural isomerism of coordination compounds can be divided into two subcategories, the linkage isomers and coordination-sphere isomers.
Linkage isomers occur when the coordination compound contains a ligand that can bind to the transition metal center through two different atoms. For example, the CN− ligand can bind through the carbon atom or through the nitrogen atom. Similarly, SCN− can...
22.4K
Functional Groups02:45

Functional Groups

25.2K
25.2K

You might also read

Related Articles

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

Sort by
Same author

Probing the Biological Plausibility of Fluoride as an Endocrine Disruptor.

Birth defects research·2026
Same author

Metagenomics Investigation on Baby Diaper Area Microbiome and Its Association with Skin pH and Dermatitis in the Diapered Area.

Microorganisms·2025
Same author

Assessing the safety of microbiome perturbations.

Microbial genomics·2025
Same author

Scalp microbiome composition changes and pathway evaluations due to effective treatment with Piroctone Olamine shampoo.

International journal of cosmetic science·2024
Same author

Letter to the editor regarding recent publication titled "Developing an internal threshold of toxicological concern (iTTC)" by Arnot et al. (2022).

Journal of exposure science & environmental epidemiology·2023
Same author

Article title: Transcriptional profiling efficacy to define biological activity similarity for cosmetic ingredients' safety assessment based on next-generation read-across.

Frontiers in toxicology·2023
Same journal

Beyond Respiratory Depression: Acute and delayed pulmonary responses following aerosolized fentanyl exposure.

Toxicological sciences : an official journal of the Society of Toxicology·2026
Same journal

Molecular Dosimetry of DNA Adducts in Mice Exposed to Ethylene Oxide.

Toxicological sciences : an official journal of the Society of Toxicology·2026
Same journal

Exposure timing is a determinant of fine particulate matter (PM2.5) pulmonary, vascular and metabolic toxicity in male mice.

Toxicological sciences : an official journal of the Society of Toxicology·2026
Same journal

A fond farewell to Jeffrey Peters, editor-in-chief of ToxSci.

Toxicological sciences : an official journal of the Society of Toxicology·2026
Same journal

Aryl hydrocarbon Receptor Nuclear Translocator 2: A Forgotten Per-ARNT-Sim Transcription Factor.

Toxicological sciences : an official journal of the Society of Toxicology·2026
Same journal

ToxMet: a web tool for toxicogenomic data analysis using genome-scale metabolic modeling.

Toxicological sciences : an official journal of the Society of Toxicology·2026
See all related articles

Related Experiment Video

Updated: Mar 23, 2026

Author Spotlight: Exploring Cellular Processes by Modeling Ligands in Cryo-EM Maps
09:30

Author Spotlight: Exploring Cellular Processes by Modeling Ligands in Cryo-EM Maps

Published on: July 19, 2024

2.2K

Grouping 34 Chemicals Based on Mode of Action Using Connectivity Mapping.

K Nadira De Abrew1, Raghunandan M Kainkaryam2, Yuqing K Shan2

  • 1*Mason Business Center, The Procter & Gamble Company, Cincinnati, Ohio 45040 and deabrew.kn@pg.com.

Toxicological Sciences : an Official Journal of the Society of Toxicology
|March 31, 2016
PubMed
Summary
This summary is machine-generated.

Connectivity mapping effectively groups chemicals by mode of action for predictive toxicology. This method proves user and platform independent, offering a novel approach for analyzing high-content data and enabling chemical read-across.

Keywords:
21st century tox.connectivity mappingtoxicogenomics

More Related Videos

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

1.9K
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

13.4K

Related Experiment Videos

Last Updated: Mar 23, 2026

Author Spotlight: Exploring Cellular Processes by Modeling Ligands in Cryo-EM Maps
09:30

Author Spotlight: Exploring Cellular Processes by Modeling Ligands in Cryo-EM Maps

Published on: July 19, 2024

2.2K
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

1.9K
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

13.4K

Area of Science:

  • Toxicology
  • Genomics
  • Computational Biology

Background:

  • Connectivity mapping, a pharmaceutical industry tool, identifies links between molecules, diseases, and genes.
  • This technique's potential for predictive toxicology, connecting chemicals, adverse events, and genes, was explored.

Purpose of the Study:

  • To assess the applicability of connectivity mapping for predictive toxicology.
  • To investigate the method's ability to group chemicals by mode of action (MOA) and identify inter-MOA connections.
  • To determine if the method is platform and user independent.

Main Methods:

  • Gene array experiments were conducted on 34 diverse chemicals across four cell lines (MCF7, Ishikawa, HepaRG, HepG2) at multiple time points and concentrations.
  • Chemicals were classified into predefined MOA-based groups.
  • Connectivity mapping was employed to analyze gene expression data, identify chemical-chemical and chemical class linkages, and compare results with public data.

Main Results:

  • The study successfully grouped chemicals based on their MOAs.
  • Inter-chemical class analysis revealed previously unrecognized connections between MOAs.
  • Comparison with publicly available data confirmed the method's user and platform independence.

Conclusions:

  • Connectivity mapping is a viable and robust method for predictive toxicology.
  • It facilitates the grouping of chemicals for read-across purposes.
  • The approach offers an alternative data analysis strategy for high-content toxicological data.