Predicting pupylation sites in prokaryotic proteins using semi-supervised self-training support vector machine algorithm.

@article{Ju2016PredictingPS,
  title={Predicting pupylation sites in prokaryotic proteins using semi-supervised self-training support vector machine algorithm.},
  author={Zhe Ju and Hong Gu},
  journal={Analytical biochemistry},
  year={2016},
  volume={507},
  pages={1-6}
}
As one important post-translational modification of prokaryotic proteins, pupylation plays a key role in regulating various biological processes. The accurate identification of pupylation sites is crucial for understanding the underlying mechanisms of pupylation. Although several computational methods have been developed for the identification of pupylation… CONTINUE READING