Literature DB >> 7777486

A vector projection method for predicting the specificity of GalNAc-transferase.

K C Chou1, C T Zhang, F J Kézdy, R A Poorman.   

Abstract

The specificity of UDP-GalNAc:polypeptide N-acetylgalactosaminytransferase (GalNAc-transferase) is consistent with the existence of an extended site composed of nine subsites, denoted by P4, P3, P2, P1, P0, P1', P2', P3', P4', where the acceptor at P0 is being either Ser or Thr. To predict whether a peptide will react with the enzyme to form a Ser- or Thr-conjugated glycopeptide, a vector projection method is proposed which uses a training set of amino acid sequences surrounding 90 Ser and 106 Thr O-glycosylation sites extracted from the National Biomedical Research Foundation Protein Database. The model postulates independent interactions of the 9 amino acid moieties with their respective binding sites. The high ratio of correct predictions vs. total predictions for the data in both the training and the testing sets indicates that the method is self-consistent and efficient. It provides a rapid means for predicting O-glycosylation and designing effective inhibitors of GalNAc-transferase.

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Year:  1995        PMID: 7777486     DOI: 10.1002/prot.340210205

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  8 in total

1.  NetOglyc: prediction of mucin type O-glycosylation sites based on sequence context and surface accessibility.

Authors:  J E Hansen; O Lund; N Tolstrup; A A Gooley; K L Williams; S Brunak
Journal:  Glycoconj J       Date:  1998-02       Impact factor: 2.916

2.  O-GLYCBASE Version 3.0: a revised database of O-glycosylated proteins.

Authors:  J E Hansen; O Lund; J Nilsson; K Rapacki; S Brunak
Journal:  Nucleic Acids Res       Date:  1998-01-01       Impact factor: 16.971

3.  A vector projection method for predicting supersecondary motifs.

Authors:  Z R Sun; C T Zhang; F H Wu; L W Peng
Journal:  J Protein Chem       Date:  1996-11

4.  O-GLYCBASE version 2.0: a revised database of O-glycosylated proteins.

Authors:  J E Hansen; O Lund; K Rapacki; S Brunak
Journal:  Nucleic Acids Res       Date:  1997-01-01       Impact factor: 16.971

5.  A novel model to predict O-glycosylation sites using a highly unbalanced dataset.

Authors:  Kun Zhou; Chunzhi Ai; Peipei Dong; Xuran Fan; Ling Yang
Journal:  Glycoconj J       Date:  2012-08-03       Impact factor: 2.916

Review 6.  The acceptor specificity of UDP-GalNAc:polypeptide N-acetylgalactosaminyltransferases.

Authors:  A P Elhammer; F J Kézdy; A Kurosaka
Journal:  Glycoconj J       Date:  1999-02       Impact factor: 2.916

7.  O-GLYCBASE: a revised database of O-glycosylated proteins.

Authors:  J E Hansen; O Lund; J O Nielsen; J E Hansen; S Brunak
Journal:  Nucleic Acids Res       Date:  1996-01-01       Impact factor: 16.971

8.  Prediction of mucin-type O-glycosylation sites in mammalian proteins using the composition of k-spaced amino acid pairs.

Authors:  Yong-Zi Chen; Yu-Rong Tang; Zhi-Ya Sheng; Ziding Zhang
Journal:  BMC Bioinformatics       Date:  2008-02-18       Impact factor: 3.169

  8 in total

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