SignalP V2.0 World Wide Web Server

Explanation of the output

SignalP predictions

Using neural networks (NN) and hidden Markov models (HMM) trained on eukaryotes

>Sequence

SignalP-NN result:

# data

>Sequence              length = 70
# Measure  Position  Value  Cutoff  signal peptide?
  max. C    35       0.211   0.33   NO
  max. Y    35       0.086   0.32   NO
  max. S    67       0.838   0.82   YES
  mean S     1-34    0.082   0.47   NO
# Most likely cleavage site between pos. 34 and 35: AEA-AA

SignalP-HMM result:

# data

>Sequence
Prediction: Non-secretory protein
Signal peptide probability: 0.003
Signal anchor probability: 0.000
Max cleavage site probability: 0.003 between pos. 34 and 35

# gnuplot script for making the plot(s)

When using results from this server, please cite:

Henrik Nielsen, Jacob Engelbrecht, Sרren Brunak and Gunnar von Heijne: Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites. Protein Engineering, 10, 1-6 (1997).

If you specifically use the SignalP-HMM output, please also cite:

Henrik Nielsen and Anders Krogh: Prediction of signal peptides and signal anchors by a hidden Markov model. In Proceedings of the Sixth International Conference on Intelligent Systems for Molecular Biology (ISMB 6), AAAI Press, Menlo Park, California, pp. 122--130 (1998).