Abstract

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. Proteins 2009. © 2009 Wiley‐Liss, Inc.

Keywords

CASPComputer scienceWorkflowData miningProtein structure predictionMachine learningProtein structureChemistryDatabase

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Publication Info

Year
2009
Type
article
Volume
77
Issue
S9
Pages
18-28
Citations
132
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Closed

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Domenico Cozzetto, Andriy Kryshtafovych, Krzysztof Fidelis et al. (2009). Evaluation of template‐based models in CASP8 with standard measures. Proteins Structure Function and Bioinformatics , 77 (S9) , 18-28. https://doi.org/10.1002/prot.22561

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DOI
10.1002/prot.22561