Using pseudo-amino acid composition and support vector machine to predict protein structural class.

@article{Chen2006UsingPA,
  title={Using pseudo-amino acid composition and support vector machine to predict protein structural class.},
  author={Chao Chen and Yuan-xin Tian and Xiao-yong Zou and Pei-xiang Cai and Jin-yuan Mo},
  journal={Journal of theoretical biology},
  year={2006},
  volume={243 3},
  pages={444-8}
}
As a result of genome and other sequencing projects, the gap between the number of known protein sequences and the number of known protein structural classes is widening rapidly. In order to narrow this gap, it is vitally important to develop a computational prediction method for fast and accurately determining the protein structural class. In this paper, a novel predictor is developed for predicting protein structural class. It is featured by employing a support vector machine learning system… CONTINUE READING
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