Prediction of transmembrane alpha-helices and signal peptides RET4 HUMAN
TMHMM
First, we predicted the transmembrane helices with TMHMM.
start position | end position | location |
1 | 201 | outside |
TMHMM predicts no transmembrane helices (compare Figure 1). The whole protein is located at the extracellular space.
Comparison with the real structure of the protein:
The TMHMM prediction is completely right, as we can seen on Figure 2. Therefore, you can see TMHMM can also predict, that a protein is not a transmembrane protein.
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Phobius and PolyPhobius
The next tools we used for the prediction are Phobius and PolyPhobius.
Phobius | PolyPhobius | ||||
---|---|---|---|---|---|
start position | end position | prediction | start position | end position | prediction |
Signal peptide prediction | |||||
1 | 2 | N-Region | 1 | 3 | N-Region |
3 | 13 | H-Region | 4 | 13 | H-Region |
14 | 18 | C-Region | 14 | 18 | C-Region |
Summary signal peptide | |||||
1 | 18 | secretory signal peptide | 1 | 18 | secretoy signal peptide |
Transmembrane helices prediction | |||||
19 | 201 | outside | 19 | 201 | outside |
Both methods predict a signal peptide for the secretory pathway (compare Figure 3 and Figure 4). This result is correct.
Comparison with the real structure of the protein:
Both methods show exactly the same result, as can be seen on Figure 5 and Figure 6.
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OCTOPUS and SPOCTOPUS
Next, we used OCTOPUS and SPOCTOPUS to predict the transmembrane helices and also the signal peptide.
OCTOPUS | SPOCTOPUS | ||||
---|---|---|---|---|---|
start position | end position | prediction | start position | end position | prediction |
1 | 1 | inside | 1 | 5 | N-terminal of a signal peptide |
2 | 23 | TM helix | 6 | 19 | signal peptide |
24 | 201 | outside | 20 | 201 | outside |
As before by HEXA_HUMAN, OCTOPUS predicts a transmembrane helix (Figure 7), whereas SPOCTOPUS predicts the signal peptide (Figure 8).
Comparison with the real structure of the protein:
Both methods show exactly the same prediction result, except the beginning of the protein. As we can see on Figure 9 and Figure 10, these results agree totally with the real occurring structure.
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TargetP
All of our proteins are proteins from human and archaea, so therefore we only use the non-plant option of TargetP.
Location | Probability |
mitochondrial targeting SP | 0.242 |
secretory pathway SP | 0.928 |
other | 0.020 |
TargetP predicts a secretory pathway signal peptide for this protein, which is completely correct.
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SignalP
For our analysis we used the Hidden Markov Model based and also the neuronal network based prediction.
The prediction with the Hidden Markov Model used three different scores. The S-score which is the score for the signal peptide, the C-score which is the score for the cleavage site and the Y-score which is a combination of the S-score and the C-score and is used to predict the cleavage site, because the Y-score is more precise than the C-score.
Result of the neuronal network
Signal peptide | Cleavage site | |||
start position | end position | start position | end position | prediction |
1 | 18 | 18 | 19 | signal peptide |
Result of the hidden markov model
prediction | signal peptide probability | signal anchor probability | cleavage site start | cleavage site end |
signal peptide | 1.000 | 0.000 | 18 | 19 |
Both methods predict a signal peptide for RET4_HUMAN (compare Figure 11 and Figure 12), which is correct.
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