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Evaluation of template‐based models in CASP8 with standard measures
Author(s) -
Cozzetto Domenico,
Kryshtafovych Andriy,
Fidelis Krzysztof,
Moult John,
Rost Burkhard,
Tramontano Anna
Publication year - 2009
Publication title -
proteins: structure, function, and bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.699
H-Index - 191
eISSN - 1097-0134
pISSN - 0887-3585
DOI - 10.1002/prot.22561
Subject(s) - casp , computer science , workflow , data mining , protein structure prediction , machine learning , protein structure , chemistry , database , biochemistry
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.