Recognition of β-hairpin motifs in proteins by using the composite vector

@article{Hu2009RecognitionO,
  title={Recognition of β-hairpin motifs in proteins by using the composite vector},
  author={Xiu-zhen Hu and Qian-zhong Li and C Wang},
  journal={Amino Acids},
  year={2009},
  volume={38},
  pages={915-921}
}
A composite vector method for predicting β-hairpin motifs in proteins is proposed by combining the score of matrix, increment of diversity, the value of distance and auto-correlation information to express the information of sequence. The prediction is based on analysis of data from 3,088 non-homologous protein chains including 6,035 β-hairpin motifs and 2,738 non-β-hairpin motifs. The overall accuracy of prediction and Matthew’s correlation coefficient are 83.1% and 0.59, respectively. In… CONTINUE READING
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Prediction of the b - hairpins in proteins using support vector machine

  • EG Hutchinson, JM Thornton
  • Protein J
  • 2008

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