A new taxonomy-based protein fold recognition approach based on autocross-covariance transformation

@article{Dong2009ANT,
  title={A new taxonomy-based protein fold recognition approach based on autocross-covariance transformation},
  author={Qiwen Dong and Shuigeng Zhou and Jihong Guan},
  journal={Bioinformatics},
  year={2009},
  volume={25 20},
  pages={2655-62}
}
MOTIVATION Fold recognition is an important step in protein structure and function prediction. Traditional sequence comparison methods fail to identify reliable homologies with low sequence identity, while the taxonomic methods are effective alternatives, but their prediction accuracies are around 70%, which are still relatively low for practical usage. RESULTS In this study, a simple and powerful method is presented for taxonomic fold recognition, which combines support vector machine (SVM… CONTINUE READING
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