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A study of quality measures for protein threading models

机译:蛋白质穿线模型的质量度量研究

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摘要

BackgroundPrediction of protein structures is one of the fundamental challenges in biology today. To fully understand how well different prediction methods perform, it is necessary to use measures that evaluate their performance. Every two years, starting in 1994, the CASP (Critical Assessment of protein Structure Prediction) process has been organized to evaluate the ability of different predictors to blindly predict the structure of proteins. To capture different features of the models, several measures have been developed during the CASP processes. However, these measures have not been examined in detail before. In an attempt to develop fully automatic measures that can be used in CASP, as well as in other type of benchmarking experiments, we have compared twenty-one measures. These measures include the measures used in CASP3 and CASP2 as well as have measures introduced later. We have studied their ability to distinguish between the better and worse models submitted to CASP3 and the correlation between them.
机译:背景技术蛋白质结构的预测是当今生物学的基本挑战之一。为了充分了解不同预测方法的性能,有必要使用评估其性能的方法。从1994年开始,每两年组织一次CASP(蛋白质结构预测的关键评估)过程,以评估不同预测因子盲目预测蛋白质结构的能力。为了捕获模型的不同特征,在CASP过程中已经开发了几种措施。但是,这些措施之前尚未进行详细检查。为了开发可在CASP以及其他类型的基准测试中使用的全自动测量方法,我们比较了二十一种测量方法。这些措施包括CASP3和CASP2中使用的措施,以及稍后介绍的措施。我们研究了他们区分提交给CASP3的更好和更差的模型以及它们之间的相关性的能力。

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