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Assessment of domain boundary predictions and the prediction of intramolecular contacts in CASP8

Título : Assessment of domain boundary predictions and the prediction of intramolecular contacts in CASP8
Autor : Ezkurdia, Iakes
Graña, Osvaldo
Izarzugaza, José M.G.
Tress, Michael L.
Materias: Protein structureStructuralDomainsResidue-residue contacts
Editorial : Wiley
Citación : Ezkurdia I, Graña O, Izarzugaza JM, Tress ML. Assessment of domain boundary predictions and the prediction of intramolecular contacts in CASP8. Proteins. 2009;77 Suppl 9:196-209. doi: 10.1002/prot.22554. PMID: 19714769
Resumen : This article details the assessment process and evaluation results for two categories in the 8th Critical Assessment of Protein Structure Prediction experiment (CASP8). The domain prediction category was evaluated with a range of scores including the Normalized Domain Overlap score and a domain boundary distance measure. Residue-residue contact predictions were evaluated with standard CASP measures, prediction accuracy, and Xd. In the domain boundary prediction category, prediction methods still make reliable predictions for targets that have structural templates, but continue to struggle to make good predictions for the few ab initio targets in CASP. There was little indication of improvement in the domain prediction category. The contact prediction category demonstrated that there was renewed interest among predictors and despite the small sample size the results suggested that there had been an increase in prediction accuracy. In contrast to CASP7 contact specialists predicted contacts more accurately than the majority of tertiary structure predictors. Despite this small success, the lack of free modeling targets makes it unlikely that either category will be included in their present form in CASP9
URI : http://hdl.handle.net/10637/15222
Derechos: http://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
ISSN : 1097-0134
Fecha de publicación : 22-oct-2009
Centro : Universidad San Pablo-CEU
Aparece en las colecciones: Medicina





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