基于模板的模型在 CASP8 中的评估与标准度量。
Evaluation of template-based models in CASP8 with standard measures.
机构信息
Department of Biochemical Sciences, Sapienza-University of Rome, P. le A. Moro, 5, 00185 Rome, Italy.
Genome Center, University of California, Davis, California 95616.
出版信息
Proteins. 2009;77 Suppl 9(0 9):18-28. doi: 10.1002/prot.22561.
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.
从 CASP1 到 CASP5，评估基于模板模型的策略不断发展，形成了一个标准的程序，在所有后续版本中都得到了应用。既定的方法包括计算每个模型质量的方法、根据每个目标的结果分布给分的方法，以及计算预测方法之间得分差异的统计显著性的方法。这些数据提供给基于模板建模类别的评估者，他们将其作为进一步评估和分析的起点。本文描述了该程序的详细工作流程，为 CASP 数据评估中通常做出的一些选择提供了依据，并报告了 CASP8 中基于模板预测的分析结果。
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