Literature DB >> 11790840

Toward genomic identification of beta-barrel membrane proteins: composition and architecture of known structures.

William C Wimley1.   

Abstract

The amino acid composition and architecture of all beta-barrel membrane proteins of known three-dimensional structure have been examined to generate information that will be useful in identifying beta-barrels in genome databases. The database consists of 15 nonredundant structures, including several novel, recent structures. Known structures include monomeric, dimeric, and trimeric beta-barrels with between 8 and 22 membrane-spanning beta-strands each. For this analysis the membrane-interacting surfaces of the beta-barrels were identified with an experimentally derived, whole-residue hydrophobicity scale, and then the barrels were aligned normal to the bilayer and the position of the bilayer midplane was determined for each protein from the hydrophobicity profile. The abundance of each amino acid, relative to the genomic abundance, was calculated for the barrel exterior and interior. The architecture and diversity of known beta-barrels was also examined. For example, the distribution of rise-per-residue values perpendicular to the bilayer plane was found to be 2.7 +/- 0.25 A per residue, or about 10 +/- 1 residues across the membrane. Also, as noted by other authors, nearly every known membrane-spanning beta-barrel strand was found to have a short loop of seven residues or less connecting it to at least one adjacent strand. Using this information we have begun to generate rapid screening algorithms for the identification of beta-barrel membrane proteins in genomic databases. Application of one algorithm to the genomes of Escherichia coli and Pseudomonas aeruginosa confirms its ability to identify beta-barrels, and reveals dozens of unidentified open reading frames that potentially code for beta-barrel outer membrane proteins.

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Year:  2002        PMID: 11790840      PMCID: PMC2373429          DOI: 10.1110/ps.29402

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


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Journal:  Protein Sci       Date:  1993-08       Impact factor: 6.725

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Journal:  Trends Biochem Sci       Date:  1994-03       Impact factor: 13.807

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Authors:  A G Murzin; A M Lesk; C Chothia
Journal:  J Mol Biol       Date:  1994-03-11       Impact factor: 5.469

Review 7.  Permeation of hydrophilic solutes through mitochondrial outer membranes: review on mitochondrial porins.

Authors:  R Benz
Journal:  Biochim Biophys Acta       Date:  1994-06-29

8.  Energetics, stability, and prediction of transmembrane helices.

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Journal:  J Mol Biol       Date:  2001-10-05       Impact factor: 5.469

9.  Structure of a fluid dioleoylphosphatidylcholine bilayer determined by joint refinement of x-ray and neutron diffraction data. III. Complete structure.

Authors:  M C Wiener; S H White
Journal:  Biophys J       Date:  1992-02       Impact factor: 4.033

Review 10.  The functions of tryptophan residues in membrane proteins.

Authors:  M Schiffer; C H Chang; F J Stevens
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  74 in total

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4.  Crystal structure and catalytic mechanism of the LPS 3-O-deacylase PagL from Pseudomonas aeruginosa.

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5.  The beta-barrel finder (BBF) program, allowing identification of outer membrane beta-barrel proteins encoded within prokaryotic genomes.

Authors:  Yufeng Zhai; Milton H Saier
Journal:  Protein Sci       Date:  2002-09       Impact factor: 6.725

6.  Prediction of the plant beta-barrel proteome: a case study of the chloroplast outer envelope.

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Journal:  Protein Sci       Date:  2003-04       Impact factor: 6.725

7.  BOMP: a program to predict integral beta-barrel outer membrane proteins encoded within genomes of Gram-negative bacteria.

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8.  Predicting transmembrane beta-barrels in proteomes.

Authors:  Henry R Bigelow; Donald S Petrey; Jinfeng Liu; Dariusz Przybylski; Burkhard Rost
Journal:  Nucleic Acids Res       Date:  2004-05-11       Impact factor: 16.971

9.  Asymmetric amino acid compositions of transmembrane beta-strands.

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10.  A hydrocarbon ruler measures palmitate in the enzymatic acylation of endotoxin.

Authors:  Victoria E Ahn; Eileen I Lo; Christian K Engel; Lu Chen; Peter M Hwang; Lewis E Kay; Russell E Bishop; Gilbert G Privé
Journal:  EMBO J       Date:  2004-07-22       Impact factor: 11.598

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