Difference between revisions of "Sequence-based analyses of ARS A"
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=== Prediction of transmembrane alpha-helices and signal peptides === |
=== Prediction of transmembrane alpha-helices and signal peptides === |
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| + | |||
| + | ==== TargetP ==== |
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| + | TargetP is used to predict the cellular localization of a protein. It combines the two methods ChloroP and SignalP. The following targeting sequences can be identified: |
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| + | * chloroplast transit peptide (cTP) |
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| + | * mitochondrial targeting peptide (mTP) |
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| + | * secretory pathway signal peptide (SP) |
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| + | |||
| + | TargetP uses a neural network to calculate and outputs scores for each of the above subcellular targets. TargetP finally predicts the location with the highest score. In our case all proteins are predicted to be targeted to the secretory pathway (S). Results are shown below. Note, that cTP is not included in our predictions, as we only considered eukaryotic and bacterial proteins. Also note, that TargetP is trained on eukaryotic proteins and hence the prediction for the protein "BACR", which is bacterial does not make sense, because there are completely different pathways of localization and secretion in eukayotes and bacteria (e.g. bacteria do not have an endoplasmatic reticulum, Golgi-Apparatus or Lysosome). Nevertheless, we included it in our analysis to see if TargetP predicts finds any localization sequence in it or predicts "-" (= no localization signal found). |
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| + | |||
| + | {| border="1" style="text-align:center; border-spacing:0;" |
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| + | |'''Protein''' |
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| + | |''' mTP ''' |
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| + | | ''' SP ''' |
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| + | | ''' other ''' |
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| + | | ''' prediction ''' |
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| + | |- |
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| + | |} |
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==== SignalP ==== |
==== SignalP ==== |
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Revision as of 09:49, 26 May 2011
Contents
Additional Proteins
The following proteins are additionally used for the prediction of transmembrand alpha-helices and signal peptides and for the prediction of GO Terms:
Secondary Structure Prediction
DSSP
Prediction of Disordered Regions
DISOPRED
POODLE
IUPRED
Meta-Disorder
Prediction of transmembrane alpha-helices and signal peptides
TargetP
TargetP is used to predict the cellular localization of a protein. It combines the two methods ChloroP and SignalP. The following targeting sequences can be identified:
- chloroplast transit peptide (cTP)
- mitochondrial targeting peptide (mTP)
- secretory pathway signal peptide (SP)
TargetP uses a neural network to calculate and outputs scores for each of the above subcellular targets. TargetP finally predicts the location with the highest score. In our case all proteins are predicted to be targeted to the secretory pathway (S). Results are shown below. Note, that cTP is not included in our predictions, as we only considered eukaryotic and bacterial proteins. Also note, that TargetP is trained on eukaryotic proteins and hence the prediction for the protein "BACR", which is bacterial does not make sense, because there are completely different pathways of localization and secretion in eukayotes and bacteria (e.g. bacteria do not have an endoplasmatic reticulum, Golgi-Apparatus or Lysosome). Nevertheless, we included it in our analysis to see if TargetP predicts finds any localization sequence in it or predicts "-" (= no localization signal found).
| Protein | mTP | SP | other | prediction |
SignalP
sudo /apps/signalp-3.0/signalp -t gram- ../BACR.fasta > BACR.signalp
sudo /apps/signalp-3.0/signalp -t euk ../ARSA.fasta > ARSA.signalp
sudo /apps/signalp-3.0/signalp -t euk ../A4.fasta > A4.signalp
sudo /apps/signalp-3.0/signalp -t euk ../LAMP1.fasta > LAMP1.signalp
sudo /apps/signalp-3.0/signalp -t euk ../INSL5.fasta > INSL5.signalp
sudo /apps/signalp-3.0/signalp -t euk ../RET4.fasta > RET4.signalp
