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The Sulfinator: predicting tyrosine sulfation sites in protein sequences

Monigatti, Flavio
Published in Bioinformatics. 2002, vol. 18, no. 5, p. 769-70
Abstract 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.
Keywords Amino Acid SequenceAnimalsCaenorhabditis elegans/genetics/metabolismDatabase Management SystemsDatabases, ProteinDrosophila/genetics/metabolismHumansMolecular Sequence DataProteins/genetics/metabolismSensitivity and SpecificitySequence AlignmentSequence Analysis, Protein/methodsSoftwareSulfates/metabolismTyrosine/genetics/metabolism
PMID: 12050077
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Research groups Calipho (80)
Swiss-Prot Research Group
Swiss Institute of Bioinformatics
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MONIGATTI, Flavio et al. The Sulfinator: predicting tyrosine sulfation sites in protein sequences. In: Bioinformatics, 2002, vol. 18, n° 5, p. 769-70. https://archive-ouverte.unige.ch/unige:41749

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Deposited on : 2014-11-13

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