FORESST: fold recognition from secondary structure predictions of proteins

  title={FORESST: fold recognition from secondary structure predictions of proteins},
  author={Valentina Di Francesco and Peter J. Munson and Jean Garnier},
  volume={15 2},
MOTIVATION A method for recognizing the three-dimensional fold from the protein amino acid sequence based on a combination of hidden Markov models (HMMs) and secondary structure prediction was recently developed for proteins in the Mainly-Alpha structural class. Here, this methodology is extended to Mainly-Beta and Alpha-Beta class proteins. Compared to other fold recognition methods based on HMMs, this approach is novel in that only secondary structure information is used. Each HMM is trained… CONTINUE READING


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