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

@article{Nielsen1998PredictionOS,
  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},
  year={1998},
  volume={6},
  pages={122-30}
}
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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References

Publications referenced by this paper.
Showing 1-10 of 19 references

Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites

H. Nielsen, S. Brunak, J. Engelbrecht, G. von Heijne
1997
View 6 Excerpts
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Hidden Markov models.

Current opinion in structural biology • 1996
View 2 Excerpts

The N-end rule: functions, mysteries, uses.

Proceedings of the National Academy of Sciences of the United States of America • 1996
View 1 Excerpt

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