articleChemistry Central JournalJul 1, 2010GOLD OA

CAESAR models for developmental toxicity

Mario Negri Institute for Pharmacological Research · Environmental Protection Agency · +1 more institution

PubMed
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Abstract

Background

The new REACH legislation requires assessment of a large number of chemicals in the European market for several endpoints. Developmental toxicity is one of the most difficult endpoints to assess, on account of the complexity, length and costs of experiments. Following the encouragement of QSAR (in silico) methods provided in the REACH itself, the CAESAR project has developed several models.

Results

Two QSAR models for developmental toxicity have been developed, using different statistical/mathematical methods. Both models performed well. The first makes a classification based on a random forest algorithm, while the second is based on an adaptive fuzzy partition algorithm. The first model has been implemented and inserted into the CAESAR on-line application, which is java-based software that allows everyone to freely use the models.

Citation impact

1,537
total citations
FWCI
4.08
Percentile
100%
References
40
Citations per year

Authors

8

Topics & keywords

Keywords
  • Quantitative structure–activity relationship
  • USable
  • Developmental toxicity
  • Computer science
  • In silico
  • Chemical toxicity
  • Software
  • Machine learning
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Funding