SignalP 4.1 server predicts the presence and location of signal peptide cleavage sites in amino acid sequences from different organisms: Gram-positive prokaryotes, Gram-negative prokaryotes, and eukaryotes. The method incorporates a prediction of cleavage sites and a signal peptide/non-signal peptide prediction based on a combination of several artificial neural networks.
A book chapter on SignalP 4.1 has been published:
Predicting Secretory Proteins with SignalP
Henrik Nielsen
In Kihara, D (ed): Protein Function Prediction (Methods in Molecular Biology vol. 1611) pp. 59-73, Springer 2017.
doi: 10.1007/978-1-4939-7015-5_6
PMID: 28451972
NOTE (added May 2018):
Remember, the presence or absence of a signal peptide is
not the whole story about the localization of a protein!
If you want to find out more about the sorting of your eukaryotic
proteins, try the protein subcellular localization predictor
DeepLoc.
NOTE: This is not the newest version of SignalP. To use the current version, please go to the main SignalP site! |