Literature DB >> 10022357

A modified definition of Sov, a segment-based measure for protein secondary structure prediction assessment.

A Zemla1, C Venclovas, K Fidelis, B Rost.   

Abstract

We present a measure for the evaluation of secondary structure prediction methods that is based on secondary structure segments rather than individual residues. The algorithm is an extension of the segment overlap measure Sov, originally defined by Rost et al. (J Mol Biol 1994;235:13-26). The new definition of Sov corrects the normalization procedure and improves Sov's ability to discriminate between similar and dissimilar segment distributions. The method has been comprehensively tested during the second Critical Assessment of Techniques for Protein Structure Prediction (CASP2). Here, we describe the underlying concepts, modifications to the original definition, and their significance.

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Year:  1999        PMID: 10022357     DOI: 10.1002/(sici)1097-0134(19990201)34:2<220::aid-prot7>3.0.co;2-k

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  74 in total

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Journal:  Protein Sci       Date:  2001-04       Impact factor: 6.725

2.  Prediction of the transmembrane regions of beta-barrel membrane proteins with a neural network-based predictor.

Authors:  I Jacoboni; P L Martelli; P Fariselli; V De Pinto; R Casadio
Journal:  Protein Sci       Date:  2001-04       Impact factor: 6.725

3.  Cascaded multiple classifiers for secondary structure prediction.

Authors:  M Ouali; R D King
Journal:  Protein Sci       Date:  2000-06       Impact factor: 6.725

4.  A physical approach to protein structure prediction.

Authors:  Silvia Crivelli; Elizabeth Eskow; Brett Bader; Vincent Lamberti; Richard Byrd; Robert Schnabel; Teresa Head-Gordon
Journal:  Biophys J       Date:  2002-01       Impact factor: 4.033

5.  Transmembrane helix predictions revisited.

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

6.  Rapid protein domain assignment from amino acid sequence using predicted secondary structure.

Authors:  Russell L Marsden; Liam J McGuffin; David T Jones
Journal:  Protein Sci       Date:  2002-12       Impact factor: 6.725

7.  Integrated databanks access and sequence/structure analysis services at the PBIL.

Authors:  Guy Perrière; Christophe Combet; Simon Penel; Christophe Blanchet; Jean Thioulouse; Christophe Geourjon; Julien Grassot; Céline Charavay; Manolo Gouy; Laurent Duret; Gilbert Deléage
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

8.  ASTRO-FOLD: a combinatorial and global optimization framework for Ab initio prediction of three-dimensional structures of proteins from the amino acid sequence.

Authors:  J L Klepeis; C A Floudas
Journal:  Biophys J       Date:  2003-10       Impact factor: 4.033

9.  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

10.  Learning biophysically-motivated parameters for alpha helix prediction.

Authors:  Blaise Gassend; Charles W O'Donnell; William Thies; Andrew Lee; Marten van Dijk; Srinivas Devadas
Journal:  BMC Bioinformatics       Date:  2007-05-24       Impact factor: 3.169

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