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Related Experiment Videos

Cluster analysis of acrylates to guide sampling for toxicity testing.

R G Lawson1, P C Jurs

  • 1152 Davey Laboratory, Chemistry Department, Pennsylvania State University, University Park 16802.

Journal of Chemical Information and Computer Sciences
|May 1, 1990
PubMed
Summary

This study clustered 143 acrylates using molecular descriptors to simplify toxicity screening. Five distinct clusters were identified based on chemical attributes like charge, hydrophobicity, size, and halogenation.

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Chemical research in toxicology·2003

Area of Science:

  • Environmental Chemistry
  • Computational Toxicology
  • Chemical Informatics

Background:

  • Acrylates are widely used industrial chemicals.
  • Toxicity screening of large chemical inventories is resource-intensive.
  • Structurally similar compounds often share toxicological profiles.

Purpose of the Study:

  • To group 143 acrylates from the TSCA inventory into natural clusters.
  • To simplify future toxicity screening strategies.
  • To identify structure-activity relationships within acrylate chemical space.

Main Methods:

  • Utilized 143 acrylates from the Toxic Substances Control Act (TSCA) inventory.
  • Calculated eight molecular descriptors for each acrylate.
  • Applied standard clustering algorithms to identify compound groups.

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Main Results:

  • Identified five distinct, natural clusters of acrylates.
  • Clusters were characterized by specific chemical attributes.
  • These include high partial atomic charges, hydrophobicity, small molecular size, halogenation, and oligomeric size.

Conclusions:

  • The identified clusters effectively group acrylates by shared chemical properties.
  • This clustering approach can significantly streamline sampling for toxicity assessments.
  • Provides a foundation for targeted toxicological investigations of acrylate subclasses.