Literature DB >> 11835496

LiveBench-2: large-scale automated evaluation of protein structure prediction servers.

J M Bujnicki1, A Elofsson, D Fischer, L Rychlewski.   

Abstract

The aim of LiveBench is to provide a continuous evaluation of structure prediction servers to inform developers and users about the current state-of-the-art structure prediction tools. LiveBench differs from other evaluation experiments because it is a large-scale and a fully automated procedure. Since LiveBench-1, which finished in April 2000, and related but independent CASP3 and CAFASP1 experiments, significant progress in the field has occurred. Some of the new developments have already been assessed at the recent CASP4 and CAFASP2 experiments (both independently of LiveBench), but others have not been observed yet because they entail developments carried out only recently. These include the availability of new servers (Pcons, FUGUE, and Coblath) and the enhancement of previously existing tools (mGenThreader, Sam-T, and 3D-PSSM), which illustrate the fast rate at which the field is advancing. Consequently, to keep in pace with the development, we present the results of the second large-scale evaluation of protein structure prediction servers. Of the 11 fold recognition servers evaluated, two servers appear to be most sensitive. One of these is 3D-PSSM, a server significantly improved after LiveBench-1. The other top performer is the new consensus server Pcons, which significantly outperformed other servers in the specificity of predictions. LiveBench-2 shows that the top performing servers are able to accurately recognize a fold for about one third of the "difficult" targets, a clear improvement over LiveBench-1 results. Given that automated structure prediction is increasingly becoming a biologists companion, the guidelines drawn from the LiveBench experiments are likely to provide users with valuable and timely information for their prediction needs. Copyright 2002 Wiley-Liss, Inc.

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Mesh:

Year:  2001        PMID: 11835496     DOI: 10.1002/prot.10039

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


  19 in total

1.  Pcons: a neural-network-based consensus predictor that improves fold recognition.

Authors:  J Lundström; L Rychlewski; J Bujnicki; A Elofsson
Journal:  Protein Sci       Date:  2001-11       Impact factor: 6.725

2.  Can correct protein models be identified?

Authors:  Björn Wallner; Arne Elofsson
Journal:  Protein Sci       Date:  2003-05       Impact factor: 6.725

3.  Coupled prediction of protein secondary and tertiary structure.

Authors:  Jens Meiler; David Baker
Journal:  Proc Natl Acad Sci U S A       Date:  2003-10-03       Impact factor: 11.205

4.  The SWISS-MODEL Repository of annotated three-dimensional protein structure homology models.

Authors:  Jürgen Kopp; Torsten Schwede
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

5.  MODBASE, a database of annotated comparative protein structure models, and associated resources.

Authors:  Ursula Pieper; Narayanan Eswar; Hannes Braberg; M S Madhusudhan; Fred P Davis; Ashley C Stuart; Nebojsa Mirkovic; Andrea Rossi; Marc A Marti-Renom; Andras Fiser; Ben Webb; Daniel Greenblatt; Conrad C Huang; Thomas E Ferrin; Andrej Sali
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

6.  ORFeus: Detection of distant homology using sequence profiles and predicted secondary structure.

Authors:  Krzysztof Ginalski; Jakub Pas; Lucjan S Wyrwicz; Marcin von Grotthuss; Janusz M Bujnicki; Leszek Rychlewski
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

7.  Tools for comparative protein structure modeling and analysis.

Authors:  Narayanan Eswar; Bino John; Nebojsa Mirkovic; Andras Fiser; Valentin A Ilyin; Ursula Pieper; Ashley C Stuart; Marc A Marti-Renom; M S Madhusudhan; Bozidar Yerkovich; Andrej Sali
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

8.  Detection of reliable and unexpected protein fold predictions using 3D-Jury.

Authors:  Krzysztof Ginalski; Leszek Rychlewski
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

9.  GeneSilico protein structure prediction meta-server.

Authors:  Michal A Kurowski; Janusz M Bujnicki
Journal:  Nucleic Acids Res       Date:  2003-07-01       Impact factor: 16.971

10.  Identification and modeling of a phosphatase-like domain in a tRNA 2'-O-ribosyl phosphate transferase Rit1p.

Authors:  Anna Czerwoniec; Janusz M Bujnicki
Journal:  Cell Cycle       Date:  2011-10-15       Impact factor: 4.534

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