Abstract
The strategy for evaluating template-based models submitted to CASP has continuously evolved from CASP1 to CASP5, leading to a standard procedure that has been used in all subsequent editions. The established approach includes methods for calculating the quality of each individual model, for assigning scores based on the distribution of the results for each target and for computing the statistical significance of the differences in scores between prediction methods. These data are made available to the assessor of the template-based modeling category, who uses them as a starting point for further evaluations and analyses. This article describes the detailed workflow of the procedure, provides justifications for a number of choices that are customarily made for CASP data evaluation, and reports the results of the analysis of template-based predictions at CASP8.
Original language | English (US) |
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Pages (from-to) | 18-28 |
Number of pages | 11 |
Journal | Proteins: Structure, Function, and Bioinformatics |
Volume | 77 |
Issue number | S9 |
DOIs | |
State | Published - Aug 5 2009 |
Externally published | Yes |
Bibliographical note
KAUST Repository Item: Exported on 2020-10-01Acknowledged KAUST grant number(s): KUK-11-012-43
Acknowledgements: Grant sponsor: The US National Library of Medicine (NIH/NLM); Grant number: LM-07085; Grant sponsor: KAUST Grant number: KUK-11-012-43; Grant sponsor: EMBO; Grant sponsor: Italbionet (MIUR).
This publication acknowledges KAUST support, but has no KAUST affiliated authors.