Marti-Renom Marc A, Madhusudhan M S, Fiser András, Rost Burkhard, Sali Andrej
Laboratories of Molecular Biophysics, Pels Family Center for Biochemistry and Structural Biology, The Rockefeller University, New York, New York 10021, USA.
Structure. 2002 Mar;10(3):435-40. doi: 10.1016/s0969-2126(02)00731-1.
The reliability of ranking of protein structure modeling methods is assessed. The assessment is based on the parametric Student's t test and the nonparametric Wilcox signed rank test of statistical significance of the difference between paired samples. The approach is applied to the ranking of the comparative modeling methods tested at the fourth meeting on Critical Assessment of Techniques for Protein Structure Prediction (CASP). It is shown that the 14 CASP4 test sequences may not be sufficient to reliably distinguish between the top eight methods, given the model quality differences and their standard deviations. We suggest that CASP needs to be supplemented by an assessment of protein structure prediction methods that is automated, continuous in time, based on several criteria applied to a large number of models, and with quantitative statistical reliability assigned to each characterization.
对蛋白质结构建模方法的排名可靠性进行了评估。该评估基于参数化的学生t检验和配对样本间差异统计显著性的非参数威尔科克森符号秩检验。该方法应用于在蛋白质结构预测技术关键评估第四次会议(CASP)上测试的比较建模方法的排名。结果表明,鉴于模型质量差异及其标准差,14个CASP4测试序列可能不足以可靠地区分前八种方法。我们建议,CASP需要通过对蛋白质结构预测方法的评估来补充,该评估应是自动化的、随时间连续的,基于应用于大量模型的多个标准,并为每个特征赋予定量的统计可靠性。