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NetNGlyc 1.0 Server

The NetNglyc server predicts N-Glycosylation sites in human proteins using artificial neural networks that examine the sequence context of Asn-Xaa-Ser/Thr sequons.

Instructions Output format Abstract

SUBMISSION

Paste a single sequence or several sequences in FASTA format into the field below:

Submit a file in FASTA format directly from your local disk:

Alternatively, type in Swiss-Prot ID/AC (e.g. CBG_HUMAN)

Generate graphics       Show additional thresholds (0.32, 0.75, 0.90) in the graph(s)

By default, predictions are done only on the Asn-Xaa-Ser/Thr sequons (incl. Asn-Pro-Ser/Thr)

Predict on all Asn residues - use this only if you know what you are doing!

Notes: SignalP is automatically run on all sequences. A warning is displayed if a signal peptide is not detected. In transmembrane proteins, only extracellular domains may be N-glycosylated. This is currently not checked by the NetNGlyc server. Cytoplasmic and transmembrane sequence regions may be predicted to be glycosylated - this should, of course, be ignored. One transmembrane region predictor is TMHMM.

Restrictions: At most 2,000 sequences and 200,000 amino acids per submission; each sequence not more than 4,000 amino acids (PLEASE NOTE THE NEW LIMIT!).
Confidentiality: The sequences are kept confidential and will be deleted after processing.

CITATIONS

For publication of results, please cite:

Prediction of N-glycosylation sites in human proteins.
R. Gupta, E. Jung and S. Brunak.
In preparation, 2004.

View the abstract.

PORTABLE VERSION

Would you prefer to run NetNGlyc at your own site? NetNGlyc 1.0 is available as a stand-alone software package, with the same functionality as the service above. Ready-to-ship packages exist for the most common UNIX platforms. There is a download page for academic users; other users are requested to contact CBS Software Package Manager at software@cbs.dtu.dk.

GETTING HELP

Scientific problems:        Technical problems:       

This file was last modified Thursday 5th 2017f January 2017 12:07:53 GMT