Protein secondary structure prediction using three neural networks and a segmental semi Markov model.

@article{Malekpour2009ProteinSS,
  title={Protein secondary structure prediction using three neural networks and a segmental semi Markov model.},
  author={Seyed Amir Malekpour and Sima Naghizadeh and Hamid Pezeshk and Mehdi Sadeghi and Changiz Eslahchi},
  journal={Mathematical biosciences},
  year={2009},
  volume={217 2},
  pages={145-50}
}
Prediction of protein secondary structure is an important step towards elucidating its three dimensional structure and its function. This is a challenging problem in bioinformatics. Segmental semi Markov models (SSMMs) are one of the best studied methods in this field. However, incorporating evolutionary information to these methods is somewhat difficult. On the other hand, the systems of multiple neural networks (NNs) are powerful tools for multi-class pattern classification which can easily… CONTINUE READING
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