Sweeties - DeepSig

DeepSig

DeepSig is a web-server for predicting signal peptides and their cleavage sites. DeepSig is based on deep learning methods, in particular Deep Convolutional Neural Networks (DCNNs), specifically designed to accurately identify signal peptide sequences located at the N-terminus of the query protein sequence. Furthermore, DeepSig is optimized to discriminate between true signal peptides and similar N-terminal transmembrane segments. When a signal sequence is detected, the query sequence is analyzed by a probabilisic sequence labelling method (based on Conditional Random Fields) to identify the precise location of the cleavage site.

Input

One or more protein sequences in FASTA format and the taxonomic origin of the input sequences (Eukaryotes, Gram+ Bacteria or Gram- Bacteria).

Output

Page containing prediction results. For each input protein, the following information will be displayed:

Signal Peptide: either "No signal" or the residue position of the signal peptide. If one is predicted, a viewer will be available showing graphically the position over the sequence.
Localization.
Score: number from 0 to 1 indicating the confidence of the prediction.