Literature DB >> 8263941

The limits of protein secondary structure prediction accuracy from multiple sequence alignment.

R B Russell1, G J Barton.   

Abstract

The expected best residue-by-residue accuracies for secondary structure prediction from multiple protein sequence alignment have been determined by an analysis of known protein structural families. The results show substantial variation is possible among homologous protein structures, and that 100% agreement is unlikely between a consensus prediction and one member of a protein structural family. The study provides the range of agreement to be expected between a perfect secondary structure prediction from a multiple alignment and each protein within the alignment. The results of this study overcome the difficulties inherent in the use of residue-by-residue accuracy for assessing the quality of consensus secondary structure predictions. The accuracies of recent consensus predictions for the annexins, SH2 domains and SH3 domains fall within the expected range for a perfect prediction.

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Year:  1993        PMID: 8263941     DOI: 10.1006/jmbi.1993.1649

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


  11 in total

1.  Prediction of beta-turn in protein using E-SSpred and support vector machine.

Authors:  Lirong Liu; Yaping Fang; Menglong Li; Cuicui Wang
Journal:  Protein J       Date:  2009-05       Impact factor: 2.371

2.  Position-specific residue preference features around the ends of helices and strands and a novel strategy for the prediction of secondary structures.

Authors:  Mojie Duan; Min Huang; Chuang Ma; Lun Li; Yanhong Zhou
Journal:  Protein Sci       Date:  2008-06-02       Impact factor: 6.725

3.  Identification and application of the concepts important for accurate and reliable protein secondary structure prediction.

Authors:  R D King; M J Sternberg
Journal:  Protein Sci       Date:  1996-11       Impact factor: 6.725

4.  Biophysical constraints on the evolution of tissue structure and function.

Authors:  P J Hunter; B de Bono
Journal:  J Physiol       Date:  2014-06-01       Impact factor: 5.182

5.  Predicted alpha-helix/beta-sheet secondary structures for the zinc-binding motifs of human papillomavirus E7 and E6 proteins by consensus prediction averaging and spectroscopic studies of E7.

Authors:  C G Ullman; P I Haris; D A Galloway; V C Emery; S J Perkins
Journal:  Biochem J       Date:  1996-10-01       Impact factor: 3.857

6.  Defining the transmembrane helix of M2 protein from influenza A by molecular dynamics simulations in a lipid bilayer.

Authors:  L R Forrest; D P Tieleman; M S Sansom
Journal:  Biophys J       Date:  1999-04       Impact factor: 4.033

7.  A simple and fast approach to prediction of protein secondary structure from multiply aligned sequences with accuracy above 70%.

Authors:  P K Mehta; J Heringa; P Argos
Journal:  Protein Sci       Date:  1995-12       Impact factor: 6.725

8.  Retrospective analysis of a secondary structure prediction: the catalytic domain of matrix metalloproteinases.

Authors:  E E Hodgkin; I C Gillman; R J Gilbert
Journal:  Protein Sci       Date:  1994-06       Impact factor: 6.725

9.  Improved secondary structure predictions for a nicotinic receptor subunit: incorporation of solvent accessibility and experimental data into a two-dimensional representation.

Authors:  N Le Novère; P J Corringer; J P Changeux
Journal:  Biophys J       Date:  1999-05       Impact factor: 4.033

10.  Exploring residue component contributions to dynamical network models of allostery.

Authors:  Adam T Vanwart; John Eargle; Zaida Luthey-Schulten; Rommie E Amaro
Journal:  J Chem Theory Comput       Date:  2012-07-05       Impact factor: 6.006

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