Literature DB >> 10786825

Reevaluation of the determinants of tyrosine sulfation.

H B Nicholas1, S S Chan, G L Rosenquist.   

Abstract

The posttranslational sulfation of tyrosine has been thought to be initiated by the recognition of specific consensus features by the sulfating enzyme tyrosylprotein sulfotransferase (TPST). However, using these recognition features to identify new tyrosine sulfation sites misses recently characterized sites that lack these features. Rigorous analysis of the amino acids surrounding the target tyrosine using the position-specific scoring matrix (PSSM) demonstrates that a consensus sequence does not contain all the information necessary to predict tyrosine sulfation. Instead, accurate prediction requires consideration of all residues within five amino acids on either side of the target tyrosine. These results support the notion that secondary structure is the major determinant of sulfation and that other residues within the sulfation site can compensate for deviations from commonly observed features. This view implies that specific consensus features are not critical for TPST substrate recognition but that TPST may instead broadly recognize any sufficiently exposed tyrosine residue.

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Year:  1999        PMID: 10786825     DOI: 10.1385/ENDO:11:3:285

Source DB:  PubMed          Journal:  Endocrine        ISSN: 1355-008X            Impact factor:   3.633


  14 in total

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Authors:  D D Pittman; J H Wang; R J Kaufman
Journal:  Biochemistry       Date:  1992-04-07       Impact factor: 3.162

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Authors:  G L Rosenquist; H B Nicholas
Journal:  Protein Sci       Date:  1993-02       Impact factor: 6.725

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Authors:  P A Baeuerle; W B Huttner
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Authors:  M Bielinska
Journal:  Biochem Biophys Res Commun       Date:  1987-11-13       Impact factor: 3.575

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Authors:  J R Bundgaard; J Vuust; J F Rehfeld
Journal:  EMBO J       Date:  1995-07-03       Impact factor: 11.598

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Authors:  Yogita Kanan; Joseph C Siefert; Michael Kinter; Muayyad R Al-Ubaidi
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Review 6.  Position weight matrix, gibbs sampler, and the associated significance tests in motif characterization and prediction.

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