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Key read across framework components and biology based improvements.

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  • 1Dow Chemical Company, Horgen, Switzerland.

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Summary
This summary is machine-generated.

Read across in toxicology uses chemical similarity to predict substance properties. Advanced algorithms and new methods, including in silico tools, enhance the accuracy and application of read across for toxicity assessment.

Keywords:
In silicoMetabolomicsPBPK modellingREACHRead-across

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Area of Science:

  • Toxicology
  • Genomics
  • Computational Chemistry

Background:

  • The European Environmental Mutagen and Genomics Society (EEMGS) held a workshop on read-across concepts in toxicology.
  • Read-across is a method used to predict the properties of a chemical substance based on data from structurally similar substances.

Purpose of the Study:

  • To provide an overview of general read-across concepts and their application in toxicology.
  • To discuss the development and use of algorithms for assessing chemical similarity relevant to specific toxicological endpoints.
  • To highlight the importance of kinetics, metabolism, and new approach methods in enhancing read-across reliability.

Main Methods:

  • Discussion of chemical similarity algorithms based on molecular descriptors and weighting schemata.
  • Integration of toxicokinetic and metabolic considerations into read-across assessments.
  • Application of new approach methods, such as plasma metabolomics in rats.
  • Utilization of in silico tools and large structure-activity relationship (SAR) datasets for toxicity prediction.

Main Results:

  • Algorithms that adapt to data and distinguish between similar/dissimilar molecules for specific endpoints are crucial.
  • Read-across cases require attention to kinetics and metabolism for success.
  • New approach methods and in silico tools demonstrate high predictivity for certain toxicity endpoints.
  • Automated processes can assess chemical-activity spaces around target substances.

Conclusions:

  • The workshop provided current criteria for effective read-across in toxicology.
  • Future developments in read-across will leverage advanced computational tools and integrated biological data.
  • Read-across is a valuable tool for chemical safety assessment, with ongoing advancements improving its predictive power.