Prediction of torsade-causing potential of drugs by support vector machine approach.

@article{Yap2004PredictionOT,
  title={Prediction of torsade-causing potential of drugs by support vector machine approach.},
  author={Chun Wei Yap and C. Z. Cai and Ying Xue and Yu Zong Chen},
  journal={Toxicological sciences : an official journal of the Society of Toxicology},
  year={2004},
  volume={79 1},
  pages={170-7}
}
In an effort to facilitate drug discovery, computational methods for facilitating the prediction of various adverse drug reactions (ADRs) have been developed. So far, attention has not been sufficiently paid to the development of methods for the prediction of serious ADRs that occur less frequently. Some of these ADRs, such as torsade de pointes (TdP), are important issues in the approval of drugs for certain diseases. Thus there is a need to develop tools for facilitating the prediction of… CONTINUE READING
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