Computational toxicology in drug development.

  title={Computational toxicology in drug development.},
  author={Wolfgang Muster and Alexander Breidenbach and Holger Fischer and Stephan Kirchner and Lutz M{\"u}ller and Axel Paehler},
  journal={Drug discovery today},
  volume={13 7-8},
Computational tools for predicting toxicity have been envisaged for their potential to considerably impact the attrition rate of compounds in drug discovery and development. In silico techniques like knowledge-based expert systems (quantitative) structure activity relationship tools and modeling approaches may therefore help to significantly reduce drug development costs by succeeding in predicting adverse drug reactions in preclinical studies. It has been shown that commercial as well as… CONTINUE READING

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