Literature DB >> 16873484

A combinatorial pattern discovery approach for the prediction of membrane dipping (re-entrant) loops.

Gorka Lasso1, John F Antoniw, Jonathan G L Mullins.   

Abstract

MOTIVATION: Membrane dipping loops are sections of membrane proteins that reside in the membrane but do not traverse from one side to the other, rather they enter and leave the same side of the membrane. We applied a combinatorial pattern discovery approach to sets of sequences containing at least one characterised structure described as possessing a membrane dipping loop. Discovered patterns were found to be composed of residues whose biochemical role is known to be essential for function of the protein, thus validating our approach. TMLOOP (http://membraneproteins.swan.ac.uk/TMLOOP) was implemented to predict membrane dipping loops in polytopic membrane proteins. TMLOOP applies discovered patterns as weighted predictive rules in a collective motif method (a variation of the single motif method), to avoid inherent limitations of single motif methods in detecting distantly related proteins. The collective motif method applies several, partially overlapping patterns, which pertain to the same sequence region, allowing proteins containing small variations to be detected. The approach achieved 92.4% accuracy in sensitivity and 100% reliability in specificity. TMLOOP was applied to the Swiss-Prot database, identifying 1392 confirmed membrane dipping loops, 75 plausible membrane dipping loops hitherto uncharacterised by topology prediction methods or experimental approaches and 128 false positives (8.0%).

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Year:  2006        PMID: 16873484     DOI: 10.1093/bioinformatics/btl209

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  10 in total

1.  An analysis of reentrant loops.

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2.  Study of polytopic membrane protein topological organization as a function of membrane lipid composition.

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3.  SuperLooper--a prediction server for the modeling of loops in globular and membrane proteins.

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Journal:  Nucleic Acids Res       Date:  2009-05-08       Impact factor: 16.971

Review 4.  Lipids and topological rules governing membrane protein assembly.

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5.  Biophysical properties of 9 KCNQ1 mutations associated with long-QT syndrome.

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Journal:  Circ Arrhythm Electrophysiol       Date:  2009-05-22

6.  Topological characterisation and identification of critical domains within glucosyltransferase IV (GtrIV) of Shigella flexneri.

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7.  Sequence-based feature prediction and annotation of proteins.

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8.  Transmembrane protein topology prediction using support vector machines.

Authors:  Timothy Nugent; David T Jones
Journal:  BMC Bioinformatics       Date:  2009-05-26       Impact factor: 3.169

9.  A benchmark server using high resolution protein structure data, and benchmark results for membrane helix predictions.

Authors:  Emma M Rath; Dominique Tessier; Alexander A Campbell; Hong Ching Lee; Tim Werner; Noeris K Salam; Lawrence K Lee; W Bret Church
Journal:  BMC Bioinformatics       Date:  2013-03-27       Impact factor: 3.169

10.  To flip or not to flip: lipid-protein charge interactions are a determinant of final membrane protein topology.

Authors:  Mikhail Bogdanov; Jun Xie; Phil Heacock; William Dowhan
Journal:  J Cell Biol       Date:  2008-09-08       Impact factor: 10.539

  10 in total

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