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NetNES 1.1 Server

NetNES 1.1 server predicts leucine-rich nuclear export signals (NES) in eukaryotic proteins using a combination of neural networks and hidden Markov models.

Instructions Output format Article 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:

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Restrictions:
At most 2000 sequences and 200,000 amino acids per submission; each sequence not less than 15 and not more than 7,000 amino acids.

Confidentiality:
The sequences are kept confidential and will be deleted after processing.


CITATIONS

For publication of results, please cite:

Analysis and prediction of leucine-rich nuclear export signals
Tanja la Cour, Lars Kiemer, Anne Mølgaard, Ramneek Gupta, Karen Skriver and Søren Brunak
Protein Eng. Des. Sel., 17(6):527-36, 2004.

Download the paper.
Download the supplementary information.

View the abstract.


PORTABLE VERSION

Would you prefer to run NetNES at your own site? Send inquiries by e-mail to software@cbs.dtu.dk.


GETTING HELP

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