In Silico Prediction of Chemical Toxicity for Drug Design Using Machine Learning Methods and Structural Alerts

@article{Yang2018InSP,
  title={In Silico Prediction of Chemical Toxicity for Drug Design Using Machine Learning Methods and Structural Alerts},
  author={Hongbin Yang and Lixia Sun and Weihua Li and Guixia Liu and Yun Tang},
  journal={Frontiers in Chemistry},
  year={2018},
  volume={6}
}
During drug development, safety is always the most important issue, including a variety of toxicities and adverse drug effects, which should be evaluated in preclinical and clinical trial phases. This review article at first simply introduced the computational methods used in prediction of chemical toxicity for drug design, including machine learning methods and structural alerts. Machine learning methods have been widely applied in qualitative classification and quantitative regression studies… 

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