Literature DB >> 12824309

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

Krzysztof Ginalski1, Leszek Rychlewski.   

Abstract

3D-Jury is a fully automated protein structure meta prediction system accessible via the Meta Server interface (http://BioInfo.PL/Meta). This is one of the meta predictors, which have made a dramatic, unprecedented impact on the last CASP-5 experiment. The 3D-Jury is comparable with other meta servers but it has the highest combined specificity and sensitivity. The presented method is also very simple and versatile and can be used to create meta predictions even from sets of models produced by humans. An additional and very important and novel feature of the system is the high correlation between the reported confidence score and the accuracy of the model. The number of correctly predicted residues can be estimated directly from the prediction score. The high reliability of the method enables any biologist to submit a target of interest to the Meta Server and screen with relatively high confidence, whether the target can be predicted by fold recognition methods while being unpredictable using standard approaches like PSI-Blast. This can point to interesting relationships which could have been missed in annotations of proteins or genomes and provide very valuable information for novel scientific discoveries.

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Year:  2003        PMID: 12824309      PMCID: PMC168910          DOI: 10.1093/nar/gkg503

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  19 in total

1.  SCOP: a structural classification of proteins database.

Authors:  L Lo Conte; B Ailey; T J Hubbard; S E Brenner; A G Murzin; C Chothia
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  LiveBench-1: continuous benchmarking of protein structure prediction servers.

Authors:  J M Bujnicki; A Elofsson; D Fischer; L Rychlewski
Journal:  Protein Sci       Date:  2001-02       Impact factor: 6.725

3.  Enhanced genome annotation using structural profiles in the program 3D-PSSM.

Authors:  L A Kelley; R M MacCallum; M J Sternberg
Journal:  J Mol Biol       Date:  2000-06-02       Impact factor: 5.469

4.  We need both computer models and experiments.

Authors:  D Fischer; D Baker; J Moult
Journal:  Nature       Date:  2001-02-01       Impact factor: 49.962

5.  GenTHREADER: an efficient and reliable protein fold recognition method for genomic sequences.

Authors:  D T Jones
Journal:  J Mol Biol       Date:  1999-04-09       Impact factor: 5.469

6.  Hybrid fold recognition: combining sequence derived properties with evolutionary information.

Authors:  D Fischer
Journal:  Pac Symp Biocomput       Date:  2000

7.  Structure prediction meta server.

Authors:  J M Bujnicki; A Elofsson; D Fischer; L Rychlewski
Journal:  Bioinformatics       Date:  2001-08       Impact factor: 6.937

8.  FUGUE: sequence-structure homology recognition using environment-specific substitution tables and structure-dependent gap penalties.

Authors:  J Shi; T L Blundell; K Mizuguchi
Journal:  J Mol Biol       Date:  2001-06-29       Impact factor: 5.469

9.  Critical assessment of methods of protein structure prediction (CASP): round IV.

Authors:  J Moult; K Fidelis; A Zemla; T Hubbard
Journal:  Proteins       Date:  2001

10.  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

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  26 in total

1.  Protein structure prediction and analysis using the Robetta server.

Authors:  David E Kim; Dylan Chivian; David Baker
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

2.  Protein structure prediction for the male-specific region of the human Y chromosome.

Authors:  Krzysztof Ginalski; Leszek Rychlewski; David Baker; Nick V Grishin
Journal:  Proc Natl Acad Sci U S A       Date:  2004-02-24       Impact factor: 11.205

3.  Site-2 protease regulated intramembrane proteolysis: sequence homologs suggest an ancient signaling cascade.

Authors:  Lisa N Kinch; Krzysztof Ginalski; Nick V Grishin
Journal:  Protein Sci       Date:  2005-12-01       Impact factor: 6.725

4.  Functional annotation prediction: all for one and one for all.

Authors:  Ori Sasson; Noam Kaplan; Michal Linial
Journal:  Protein Sci       Date:  2006-05-02       Impact factor: 6.725

5.  A structural model reveals energy transduction in dynein.

Authors:  Adrian W R Serohijos; Yiwen Chen; Feng Ding; Timothy C Elston; Nikolay V Dokholyan
Journal:  Proc Natl Acad Sci U S A       Date:  2006-11-22       Impact factor: 11.205

6.  Longin-like folds identified in CHiPS and DUF254 proteins: vesicle trafficking complexes conserved in eukaryotic evolution.

Authors:  Lisa N Kinch; Nick V Grishin
Journal:  Protein Sci       Date:  2006-11       Impact factor: 6.725

Review 7.  Hyaluronidases: their genomics, structures, and mechanisms of action.

Authors:  Robert Stern; Mark J Jedrzejas
Journal:  Chem Rev       Date:  2006-03       Impact factor: 60.622

8.  BCL::contact-low confidence fold recognition hits boost protein contact prediction and de novo structure determination.

Authors:  Mert Karakaş; Nils Woetzel; Jens Meiler
Journal:  J Comput Biol       Date:  2010-02       Impact factor: 1.479

9.  Global phosphoproteomic analysis of Ebola virions reveals a novel role for VP35 phosphorylation-dependent regulation of genome transcription.

Authors:  Andrey Ivanov; Palaniappan Ramanathan; Christian Parry; Philipp A Ilinykh; Xionghao Lin; Michael Petukhov; Yuri Obukhov; Tatiana Ammosova; Gaya K Amarasinghe; Alexander Bukreyev; Sergei Nekhai
Journal:  Cell Mol Life Sci       Date:  2019-09-28       Impact factor: 9.261

10.  EMD: an ensemble algorithm for discovering regulatory motifs in DNA sequences.

Authors:  Jianjun Hu; Yifeng D Yang; Daisuke Kihara
Journal:  BMC Bioinformatics       Date:  2006-07-13       Impact factor: 3.169

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