SVM-based prediction of caspase substrate cleavage sites

@article{Wee2006SVMbasedPO,
  title={SVM-based prediction of caspase substrate cleavage sites},
  author={Lawrence J. K. Wee and Tin Wee Tan and Shoba Ranganathan},
  journal={BMC Bioinformatics},
  year={2006},
  volume={7},
  pages={S14 - S14}
}
Caspases belong to a class of cysteine proteases which function as critical effectors in apoptosis and inflammation by cleaving substrates immediately after unique sites. Prediction of such cleavage sites will complement structural and functional studies on substrates cleavage as well as discovery of new substrates. Recently, different computational methods have been developed to predict the cleavage sites of caspase substrates with varying degrees of success. As the support vector machines… CONTINUE READING
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