YASSPP: better kernels and coding schemes lead to improvements in protein secondary structure prediction.

@article{Karypis2006YASSPPBK,
  title={YASSPP: better kernels and coding schemes lead to improvements in protein secondary structure prediction.},
  author={George Karypis},
  journal={Proteins},
  year={2006},
  volume={64 3},
  pages={575-86}
}
The accurate prediction of a protein's secondary structure plays an increasingly critical role in predicting its function and tertiary structure, as it is utilized by many of the current state-of-the-art methods for remote homology, fold recognition, and ab initio structure prediction. We developed a new secondary structure prediction algorithm called YASSPP, which uses a pair of cascaded models constructed from two sets of binary SVM-based models. YASSPP uses an input coding scheme that… CONTINUE READING

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