The Sulfinator: predicting tyrosine sulfation sites in protein sequences.
paper
Cited
Public
Unavailable
- Authors
- Monigatti, Flavio; Gasteiger, Elisabeth; Bairoch, Amos; Jung, Eva
- Year
- 2002
- Journal
- Bioinformatics (Oxford, England)
- PMID
- 12050077
- DOI
- 10.1093/bioinformatics/18.5.769
UNLABELLED: Protein tyrosine sulfation is an important post-translational modification of proteins that go through the secretory pathway. No clear-cut acceptor motif can be defined that allows the prediction of tyrosine sulfation sites in polypeptide chains. The Sulfinator is a software tool that can be used to predict tyrosine sulfation sites in protein sequences with an overall accuracy of 98%. Four different Hidden Markov Models were constructed, each of them specialized to recognize sulfated tyrosine residues depending on their location within the sequence: near the N-terminus, near the C-terminus, in the center of a window with a size of at least 25 amino acids, as well as in windows containing several tyrosine residues. AVAILABILITY: The Sulfinator is accessible at (http://www.expasy.org/tools/sulfinator/). SUPPLEMENTARY INFORMATION: Sulfinator documentation is accessible at (http://www.expasy.org/tools/sulfinator/sulfinator-doc.html).
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