Prediction of Signal Peptides and Signal Anchors by a Hidden Markov Model

  title={Prediction of Signal Peptides and Signal Anchors by a Hidden Markov Model},
  author={Henrik Nielsen and Anders Krogh},
  journal={Proceedings. International Conference on Intelligent Systems for Molecular Biology},
A hidden Markov model of signal peptides has been developed. It contains submodels for the N-terminal part, the hydrophobic region, and the region around the cleavage site. For known signal peptides, the model can be used to assign objective boundaries between these three regions. Applied to our data, the length distributions for the three regions are significantly different from expectations. For instance, the assigned hydrophobic region is between 8 and 12 residues long in almost all… CONTINUE READING
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