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Related Concept Videos

Toxicity Testing in Animals01:23

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...
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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...
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Studies that assess how a drug is absorbed, distributed, metabolized, and excreted (ADME) at toxic doses are termed toxicokinetics. Understanding toxicokinetics helps predict adverse drug reactions (ADRs) and manage toxicity in humans.Toxicokinetics differs from pharmacokinetics mainly in the dose levels studied, with toxicokinetics focusing on higher toxic doses. The kinetics at these levels can be non-linear due to altered physiological processes. Toxicodynamics examines the relationship...

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

Published on: August 28, 2019

In silico toxicology - non-testing methods.

Hannu Raunio1

  • 1Faculty of Health Sciences, University of Eastern Finland Kuopio, Finland.

Frontiers in Pharmacology
|July 21, 2011
PubMed
Summary
This summary is machine-generated.

In silico toxicology uses computer-based methods to predict chemical toxicity. Non-testing approaches like grouping and structure-activity relationships are crucial for future chemical risk assessment.

Keywords:
REACHin silicomodelingtoxicity

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Area of Science:

  • Computational toxicology and risk assessment.

Background:

  • In silico toxicology encompasses all computer-based approaches in toxicology.
  • Diverse in silico methods exist to predict toxicological outcomes in humans and the environment.

Purpose of the Study:

  • To explain the principles of non-testing methods in toxicology.
  • To evaluate the current and future role of these methods in chemical risk assessment.

Main Methods:

  • Focus on non-testing methods, including grouping approaches, structure-activity relationships (SAR), and expert systems.
  • Review of existing literature and regulatory applications.

Main Results:

  • Non-testing methods are established tools for characterizing and predicting toxicity.
  • These computational approaches are increasingly utilized in regulatory toxicology.

Conclusions:

  • In silico non-testing methods are vital for modern chemical risk assessment.
  • Their significance in regulatory toxicology is expected to grow substantially.