Literature DB >> 16335798

An investigation into the ability to define transmembrane protein spans using the biophysical properties of amino acid residues.

Onkabetse Daman1, James Wallace, Frederick Harris, David A Phoenix.   

Abstract

A key question associated with topology predictions for membrane proteins is whether there is sufficient variation in the biophysical properties of residues at the membrane interface to enable identification of TM spans in a robust and efficient manner using relatively simple methods of analysis. Here, a test for the homogeneity of multinomial populations is used to identify statistical differences between the residue compositions of windows within datasets of aligned non-homologous TM alpha-helices. Using this approach, the accuracy and robustness of the predicted boundaries for datasets of uncleaved signal (US) sequences and stop transfer sequences (ST) is tested. The validity of the 21 residue length, which is generally assumed for TM spans in membrane protein topology prediction is also investigated and it is suggested that ST sequences may be better represented by a length of 22 residues.

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Year:  2005        PMID: 16335798     DOI: 10.1007/s11010-005-1738-8

Source DB:  PubMed          Journal:  Mol Cell Biochem        ISSN: 0300-8177            Impact factor:   3.396


  17 in total

1.  Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes.

Authors:  A Krogh; B Larsson; G von Heijne; E L Sonnhammer
Journal:  J Mol Biol       Date:  2001-01-19       Impact factor: 5.469

Review 2.  Membrane protein folding and stability: physical principles.

Authors:  S H White; W C Wimley
Journal:  Annu Rev Biophys Biomol Struct       Date:  1999

3.  Transmembrane helix predictions revisited.

Authors:  Chien Peter Chen; Andrew Kernytsky; Burkhard Rost
Journal:  Protein Sci       Date:  2002-12       Impact factor: 6.725

4.  Historical review: a brief history and personal retrospective of seven-transmembrane receptors.

Authors:  Robert J Lefkowitz
Journal:  Trends Pharmacol Sci       Date:  2004-08       Impact factor: 14.819

5.  Rational design of lipid for membrane protein crystallization.

Authors:  Yohann Misquitta; Vadim Cherezov; Fabien Havas; Suzanne Patterson; Jakkam M Mohan; Angela J Wells; David J Hart; Martin Caffrey
Journal:  J Struct Biol       Date:  2004-11       Impact factor: 2.867

6.  Basic local alignment search tool.

Authors:  S F Altschul; W Gish; W Miller; E W Myers; D J Lipman
Journal:  J Mol Biol       Date:  1990-10-05       Impact factor: 5.469

7.  Membrane protein structure prediction. Hydrophobicity analysis and the positive-inside rule.

Authors:  G von Heijne
Journal:  J Mol Biol       Date:  1992-05-20       Impact factor: 5.469

8.  Membrane protein crystallization in lipidic mesophases with tailored bilayers.

Authors:  Lisa V Misquitta; Yohann Misquitta; Vadim Cherezov; Orla Slattery; Jakkam M Mohan; David Hart; Mariya Zhalnina; William A Cramer; Martin Caffrey
Journal:  Structure       Date:  2004-12       Impact factor: 5.006

9.  The Universal Protein Resource (UniProt).

Authors:  Amos Bairoch; Rolf Apweiler; Cathy H Wu; Winona C Barker; Brigitte Boeckmann; Serenella Ferro; Elisabeth Gasteiger; Hongzhan Huang; Rodrigo Lopez; Michele Magrane; Maria J Martin; Darren A Natale; Claire O'Donovan; Nicole Redaschi; Lai-Su L Yeh
Journal:  Nucleic Acids Res       Date:  2005-01-01       Impact factor: 16.971

10.  Membrane protein topology: effects of delta mu H+ on the translocation of charged residues explain the 'positive inside' rule.

Authors:  H Andersson; G von Heijne
Journal:  EMBO J       Date:  1994-05-15       Impact factor: 11.598

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