Literature DB >> 8126727

Principles determining the structure of beta-sheet barrels in proteins. II. The observed structures.

A G Murzin1, A M Lesk, C Chothia.   

Abstract

In the accompanying paper we derived a set of principles that, we argue, govern the structure of beta-sheet barrels. Barrel structures are classified in terms of two integral parameters: the number of strands in the beta-sheet, n, and a measure of the stagger in the beta-sheet, S. We derived a set of equations that show how the (n, S) values of a barrel structure determine the arrangement of its strands; its general shape; the twist and coiling of the beta-sheet, and the arrangement of residues in the barrel interior. This work suggested that there are ten different combinations of n and S that form barrels with good beta-sheet geometries and interiors close packed by beta-sheet residues. In this paper we demonstrate the validity of these principles. We analyse in detail the observed structures of 39 different beta-sheet barrels. These structures include representatives of all the different barrel structures currently known and for which atomic co-ordinates are available. We show that the observed arrangement of the strands, and the extent of the twist and coiling of the beta-sheets, are very close to those calculated from the (n, S) values for the barrel. Of the 39 structures, 34 have one of the ten (n, S) values that we expect to form barrels with good beta-sheet geometries and interiors close packed by beta-sheet residues. The other five have one of two (n, S) values that give good beta-sheet geometries but radii so large the beta-sheet residues leave cavities at the centre of the barrels. In at least four of these cavities have a functional role.

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Year:  1994        PMID: 8126727     DOI: 10.1016/0022-2836(94)90065-5

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  42 in total

1.  Barrel structures in proteins: automatic identification and classification including a sequence analysis of TIM barrels.

Authors:  N Nagano; E G Hutchinson; J M Thornton
Journal:  Protein Sci       Date:  1999-10       Impact factor: 6.725

2.  Subunit composition of a bicomponent toxin: staphylococcal leukocidin forms an octameric transmembrane pore.

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Journal:  Protein Sci       Date:  2002-04       Impact factor: 6.725

3.  Tilt, twist, and coiling in beta-barrel membrane proteins: relation to infrared dichroism.

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Journal:  Biophys J       Date:  2001-06       Impact factor: 4.033

4.  β-Barrel topology of Alzheimer's β-amyloid ion channels.

Authors:  Hyunbum Jang; Fernando Teran Arce; Srinivasan Ramachandran; Ricardo Capone; Ratnesh Lal; Ruth Nussinov
Journal:  J Mol Biol       Date:  2010-10-21       Impact factor: 5.469

5.  Staphostatins resemble lipocalins, not cystatins in fold.

Authors:  Malgorzata Rzychon; Renata Filipek; Artur Sabat; Klaudia Kosowska; Adam Dubin; Jan Potempa; Matthias Bochtler
Journal:  Protein Sci       Date:  2003-10       Impact factor: 6.725

6.  Novel beta-barrel fold in the nuclear magnetic resonance structure of the replicase nonstructural protein 1 from the severe acute respiratory syndrome coronavirus.

Authors:  Marcius S Almeida; Margaret A Johnson; Torsten Herrmann; Michael Geralt; Kurt Wüthrich
Journal:  J Virol       Date:  2007-01-03       Impact factor: 5.103

7.  A graph-theoretic approach for classification and structure prediction of transmembrane β-barrel proteins.

Authors:  Van Du T Tran; Philippe Chassignet; Saad Sheikh; Jean-Marc Steyaert
Journal:  BMC Genomics       Date:  2012-04-12       Impact factor: 3.969

8.  Predicting the complex structure and functional motions of the outer membrane transporter and signal transducer FecA.

Authors:  Taner Z Sen; Margaret Kloster; Robert L Jernigan; Andrzej Kolinski; Janusz M Bujnicki; Andrzej Kloczkowski
Journal:  Biophys J       Date:  2008-01-04       Impact factor: 4.033

9.  Model-based prediction of the alpha-hemolysin structure in the hexameric state.

Authors:  Simone Furini; Carmen Domene; Michele Rossi; Marco Tartagni; Silvio Cavalcanti
Journal:  Biophys J       Date:  2008-05-23       Impact factor: 4.033

10.  Understanding protein structure from a percolation perspective.

Authors:  Dhruba Deb; Saraswathi Vishveshwara; Smitha Vishveshwara
Journal:  Biophys J       Date:  2009-09-16       Impact factor: 4.033

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