Handle URI:
http://hdl.handle.net/10754/598244
Title:
Evaluation of CASP8 model quality predictions
Authors:
Cozzetto, Domenico; Kryshtafovych, Andriy; Tramontano, Anna
Abstract:
The model quality assessment problem consists in the a priori estimation of the overall and per-residue accuracy of protein structure predictions. Over the past years, a number of methods have been developed to address this issue and CASP established a prediction category to evaluate their performance in 2006. In 2008 the experiment was repeated and its results are reported here. Participants were invited to infer the correctness of the protein models submitted by the registered automatic servers. Estimates could apply to both whole models and individual amino acids. Groups involved in the tertiary structure prediction categories were also asked to assign local error estimates to each predicted residue in their own models and their results are also discussed here. The correlation between the predicted and observed correctness measures was the basis of the assessment of the results. We observe that consensus-based methods still perform significantly better than those accepting single models, similarly to what was concluded in the previous edition of the experiment. © 2009 WILEY-LISS, INC.
Citation:
Cozzetto D, Kryshtafovych A, Tramontano A (2009) Evaluation of CASP8 model quality predictions. Proteins: Structure, Function, and Bioinformatics 77: 157–166. Available: http://dx.doi.org/10.1002/prot.22534.
Publisher:
Wiley-Blackwell
Journal:
Proteins: Structure, Function, and Bioinformatics
KAUST Grant Number:
KUK-11-012-43
Issue Date:
2009
DOI:
10.1002/prot.22534
PubMed ID:
19714774
Type:
Article
ISSN:
0887-3585
Sponsors:
Grant sponsor: KAUST; Grant number: KUK-11-012-43; Grant sponsor: MIUR (FIRB Rete Italiana di Proteomica), EMBO; Grant sponsor: The US National Library of Medicine; Grant number: LM-7085
Appears in Collections:
Publications Acknowledging KAUST Support

Full metadata record

DC FieldValue Language
dc.contributor.authorCozzetto, Domenicoen
dc.contributor.authorKryshtafovych, Andriyen
dc.contributor.authorTramontano, Annaen
dc.date.accessioned2016-02-25T13:17:17Zen
dc.date.available2016-02-25T13:17:17Zen
dc.date.issued2009en
dc.identifier.citationCozzetto D, Kryshtafovych A, Tramontano A (2009) Evaluation of CASP8 model quality predictions. Proteins: Structure, Function, and Bioinformatics 77: 157–166. Available: http://dx.doi.org/10.1002/prot.22534.en
dc.identifier.issn0887-3585en
dc.identifier.pmid19714774en
dc.identifier.doi10.1002/prot.22534en
dc.identifier.urihttp://hdl.handle.net/10754/598244en
dc.description.abstractThe model quality assessment problem consists in the a priori estimation of the overall and per-residue accuracy of protein structure predictions. Over the past years, a number of methods have been developed to address this issue and CASP established a prediction category to evaluate their performance in 2006. In 2008 the experiment was repeated and its results are reported here. Participants were invited to infer the correctness of the protein models submitted by the registered automatic servers. Estimates could apply to both whole models and individual amino acids. Groups involved in the tertiary structure prediction categories were also asked to assign local error estimates to each predicted residue in their own models and their results are also discussed here. The correlation between the predicted and observed correctness measures was the basis of the assessment of the results. We observe that consensus-based methods still perform significantly better than those accepting single models, similarly to what was concluded in the previous edition of the experiment. © 2009 WILEY-LISS, INC.en
dc.description.sponsorshipGrant sponsor: KAUST; Grant number: KUK-11-012-43; Grant sponsor: MIUR (FIRB Rete Italiana di Proteomica), EMBO; Grant sponsor: The US National Library of Medicine; Grant number: LM-7085en
dc.publisherWiley-Blackwellen
dc.subjectCASPen
dc.subjectModel quality assessmenten
dc.subjectStructure predictionen
dc.titleEvaluation of CASP8 model quality predictionsen
dc.typeArticleen
dc.identifier.journalProteins: Structure, Function, and Bioinformaticsen
dc.contributor.institutionUniversita degli Studi di Roma La Sapienza, Rome, Italyen
dc.contributor.institutionUC Davis, Davis, United Statesen
kaust.grant.numberKUK-11-012-43en

Related articles on PubMed

All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.