SecretomeP 2.0 – Prediction of Non-classical Protein Secretion

SecretomeP 2.0

:: DESCRIPTION

SecretomeP server produces ab initio predictions of non-classical i.e. not signal peptide triggered protein secretion. The method queries a large number of other feature prediction servers to obtain information on various post-translational and localizational aspects of the protein, which are integrated into the final secretion prediction.

Advertisement

::DEVELOPER

DTU Health Tech

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

SecretomeP

:: MORE INFORMATION

Citation

Feature based prediction of non-classical and leaderless protein secretion
J. Dyrløv Bendtsen, L. Juhl Jensen, N. Blom, G. von Heijne and S. Brunak
Protein Eng. Des. Sel., 17(4):349-356, 2004

2 thoughts on “SecretomeP 2.0 – Prediction of Non-classical Protein Secretion”

  1. Dear Sir/Madam,
    Hope you are doing well. I am a PhD scholar and would like to use the SecretomeP 2.0 for Non-classical proteins prediction, but unfortunately since 5 month the Gram positive option dosen’t work and that option is not active. Please fix it, and inform me.
    Thanks in advance

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.