NtraC Signal Analysis

Preliminary Trial Version

Automatic prediction of the potential NtraC organization of a long signal peptide of the entered sequence.


If you encounter any errors, or are interested in discussing a special signal peptide or protein you work with, do not hesitate to contact Jan Hiss.

Submission form

Please be patient. Calculation takes up to one minute.

Step 1:
Choose realm of origin of your signal peptide

Gram-negative bacteria
Gram-positive bacteria


Step 2:
Enter the position of the signal peptidase cleavage site.

Signal peptidase cleavage site

If the signal peptidase cleavage site is unknown, leave the field empty. A standard prediction using SignalP 3.0 will be performed for the realm you choose.
The peptide will be truncated after 100 AA for the prediction. iillustration3

Step 3:
Select the subtype of NtraC organization.

Choose manual NtraC Combination


Automatic prediction


Step 4:
Enter amino acid sequence in one letter code or FASTA format

(only standard AA)

Please be patient. Calculation takes up to one minute.

Results of the calculation will be displayed below.

Copyright © 2008, Johann Wolfgang Goethe-Universität, Frankfurt am Main, Germany. All rights reserved.

For NtraC, please cite:
Hiss JA, Resch E, Schreiner A, Meissner M, Starzinski-Powitz A, et al. (2008)
Domain Organization of Long Signal Peptides of Single-Pass Integral Membrane Proteins Reveals Multiple Functional Capacity. PLoS ONE 3(7): e2767.

Please cite this reference if you publish results obtained via this webserver.
NtraC prediciton implicitely uses SignalP 3.0 and TargetP 1.1

For SignalP 3.0, please cite:
Improved prediction of signal peptides: SignalP 3.0.
Jannick Dyrløv Bendtsen, Henrik Nielsen, Gunnar von Heijne and Søren Brunak.
J. Mol. Biol., 340:783-795, 2004.

For TargetP 1.1, please cite:
Predicting subcellular localization of proteins based on their N-terminal amino acid sequence.
Olof Emanuelsson, Henrik Nielsen, Søren Brunak and Gunnar von Heijne.
J. Mol. Biol., 300: 1005-1016, 2000.

We want to express our special thanks to Henrik Nielsen, Søren Brunak and Kristoffer Rapacki for the permission to use SignalP and TargetP in the context of the NtraC prediciton.