Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Mutagenicity and Carcinogenicity

Mutagenicity and Carcinogenicity

Mutagenicity and carcinogenicity refer to the ability of drugs to cause genetic defects and induce cancer, respectively. The International Agency for Research on Cancer (IARC) classifies agents into four groups based on their carcinogenic potential. Group 1 agents are known human carcinogens; group 2A agents are probably carcinogenic to humans; group 3 agents lack data to support their role in carcinogenesis; and group 4 includes agents for which data support that they are not likely to be...

Mouse Models of Cancer Study

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...

Toxicity Testing in Animals

Toxicity Testing in Animals

Toxicity tests in animals are grounded on two main assumptions: first, the effects observed in laboratory animals can be extrapolated to humans, especially when adjusted for body surface area; second, high-dose exposure in animals is essential to identify potential human hazards from lower doses. This is based on the quantal dose-response concept, which faces the challenge of extrapolating results from relatively few test animals to much larger human populations. For example, a 0.01% incidence...

In-vitro Mutagenesis

In-vitro Mutagenesis

To learn more about the function of a gene, researchers can observe what happens when the gene is inactivated or “knocked out,” by creating genetically engineered knockout animals. Knockout mice have been particularly useful as models for human diseases such as cancer, Parkinson’s disease, and diabetes.

You might also read

Related Articles

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

Sort by

Same author

The Chemical Smiler: CHEMICal Abstraction Leading to SMILEs of Reference.

Journal of computational chemistry·2026

Same author

Scientific Opinion on Benzophenone - 4 (CAS No. 4065-45-6, EC No. 223-772-2) used in cosmetics products - SCCS/1660/23.

NAM journal·2026

Same author

SCCS opinion on biphenyl-2-ol and sodium 2-biphenylolate used in cosmetic products (CAS/EC No. 90-43-7/201-993-5 and 132-27-4/205-055-6)- SCCS/1669/24.

NAM journal·2026

Same author

In silico prediction of Ames mutagenicity for organosilicon compounds: Exploring and enhancing chemical space boundaries.

Regulatory toxicology and pharmacology : RTP·2026

Same author

Simulation of fish chronic toxicity using the Las Vegas algorithm and the vector of ideality of correlation.

Environmental toxicology and chemistry·2026

Same author

A framework for chemical hazard assessments under 'Safe and Sustainable by Design' using multiple in silico tools.

Integrated environmental assessment and management·2026

Search research articles

Related Experiment Video

Updated: Mar 19, 2026

A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds

A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds

Published on: April 6, 2016

In Silico Methods for Carcinogenicity Assessment.

Azadi Golbamaki¹, Emilio Benfenati²

¹Laboratory of Environmental Chemistry and Toxicology, Istituto di Ricerche Farmacologiche "Mario Negri", Via La Masa 19, 20156, Milano, Italy. azadi.golbamaki@marionegri.it.

Methods in Molecular Biology (Clifton, N.J.)

|June 18, 2016

Summary

This summary is machine-generated.

Predicting chemical carcinogenicity is crucial for preventing environmentally induced cancers. Quantitative Structure-Activity Relationship (QSAR) models offer a promising alternative to animal testing for identifying potential carcinogens.

Keywords:

Applicability domain index Carcinogenicity Genotoxicity In silico Non-genotoxicity QSAR SARpy Structural alerts Toxtree

More Related Videos

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox

Published on: August 28, 2019

High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents HPHC

High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents HPHC

Published on: May 10, 2016

Related Experiment Videos

Last Updated: Mar 19, 2026

A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds

A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds

Published on: April 6, 2016

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox

Published on: August 28, 2019

High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents HPHC

High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents HPHC

Published on: May 10, 2016

Area of Science:

Toxicology
Computational Chemistry
Drug Safety

Background:

Environmental factors contribute to cancer development.
Accurate prediction of chemical carcinogenicity is vital for public health.
Animal testing for carcinogenicity is ethically and practically challenging.

Purpose of the Study:

To review and describe prominent Quantitative Structure-Activity Relationship ((Q)SAR) models for predicting chemical carcinogenicity.
To evaluate the performance of selected (Q)SAR models.
To demonstrate the application of these models to pharmaceutical compounds.

Main Methods:

Review of established (Q)SAR models incorporating expert knowledge and statistical approaches.
Performance evaluation of selected predictive models.
Application of models to assess the carcinogenicity of pharmaceutical molecules.

Main Results:

Several (Q)SAR models based on expert knowledge and statistical methods were identified and described.
The performance of these models was systematically evaluated.
The predictive capabilities of the models were demonstrated through their application to pharmaceutical compounds.

Conclusions:

(Q)SAR models provide a valuable in silico approach for carcinogenicity assessment.
These models support the principles of the 3Rs (Replacement, Reduction, Refinement) in animal testing.
The evaluated models show potential for identifying carcinogenic risks in chemical and pharmaceutical development.