Signal-CF is an automated method for predicting signal peptide sequences and their cleavage sites in eukaryotic and bacterial protein sequences. It is a 2-layer predictor: the 1st-layer prediction engine is to identify a query protein as secretory or non-secretory; if it is secretory, the process will be automatically continued with the 2nd-layer prediction engine to further identify the cleavage site of its signal peptide.

Caveat

The following points are important when using Signal-CF     1. Signal-CF is focused on the prediction of N-terminal signal peptides only (see the figure below).     2. Your input sequence length should be at least more than 50aa counted from the N-terminal.     3. Signal-CF is designed for "eukaryotic","Gram-positive" and "Gram-negative" proteins. Please select the correct organism type before you start computation.