Literature DB >> 3714490

A new method for predicting signal sequence cleavage sites.

G von Heijne.   

Abstract

A new method for identifying secretory signal sequences and for predicting the site of cleavage between a signal sequence and the mature exported protein is described. The predictive accuracy is estimated to be around 75-80% for both prokaryotic and eukaryotic proteins.

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Substances：

Year:  1986        PMID： 3714490      PMCID： PMC311474          DOI： 10.1093/nar/14.11.4683

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN： 0305-1048            Impact factor:   16.971


  9 in total

1.  The independent distribution of amino acid near neighbor pairs into polypeptides.

Authors:  M H Klapper
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2.  Sequence determinants of cytosolic N-terminal protein processing.

Authors:  C Flinta; B Persson; H Jörnvall; G von Heijne
Journal:  Eur J Biochem       Date:  1986-01-02

3.  On the predictive recognition of signal peptide sequences.

Authors:  D J McGeoch
Journal:  Virus Res       Date:  1985-10       Impact factor: 3.303

4.  Conserved residues of the leader peptide are essential for cleavage by leader peptidase.

Authors:  A Kuhn; W Wickner
Journal:  J Biol Chem       Date:  1985-12-15       Impact factor: 5.157

5.  Computer methods to locate signals in nucleic acid sequences.

Authors:  R Staden
Journal:  Nucleic Acids Res       Date:  1984-01-11       Impact factor: 16.971

6.  A putative signal peptidase recognition site and sequence in eukaryotic and prokaryotic signal peptides.

Authors:  D Perlman; H O Halvorson
Journal:  J Mol Biol       Date:  1983-06-25       Impact factor: 5.469

7.  Patterns of amino acids near signal-sequence cleavage sites.

Authors:  G von Heijne
Journal:  Eur J Biochem       Date:  1983-06-01

8.  Signal sequences. The limits of variation.

Authors:  G von Heijne
Journal:  J Mol Biol       Date:  1985-07-05       Impact factor: 5.469

9.  How signal sequences maintain cleavage specificity.

Authors:  G von Heijne
Journal:  J Mol Biol       Date:  1984-02-25       Impact factor: 5.469
  9 in total
  1309 in total

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