Using principal component analysis and support vector machine to predict protein structural class for low-similarity sequences via PSSM.

@article{Zhang2012UsingPC,
  title={Using principal component analysis and support vector machine to predict protein structural class for low-similarity sequences via PSSM.},
  author={Shengli Zhang and Feng Ye and Xiguo Yuan},
  journal={Journal of biomolecular structure & dynamics},
  year={2012},
  volume={29 6},
  pages={
          634-42
        }
}
The accurate identification of protein structure class solely using extracted information from protein sequence is a complicated task in the current computational biology. Prediction of protein structural class for low-similarity sequences remains a challenging problem. In this study, the new computational method has been developed to predict protein structural class by fusing the sequence information and evolution information to represent a protein sample. To evaluate the performance of the… CONTINUE READING
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