An automatic method for CASP9 free modeling structure prediction assessment
An automatic method for CASP9 free modeling structure prediction assessment
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DOI：
10.1093/bioinformatics/btr572
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发表时间：
2011-12-15
期刊：
影响因子：
5.8
通讯作者：
Grishin, Nick V.
中科院分区：
文献类型：
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作者：
Cong, Qian;Kinch, Lisa N.;Grishin, Nick V.
结果：受 CASP9 FM 类别评估经验的启发，我们开发了一种自动叠加独立方法，称为质量控制评分（QCS），用于结构预测评估。 QCS 捕获全局和局部结构特征，重点是全局拓扑。我们将此方法应用于 CASP9 中的所有 FM 目标，总体结果显示，在先前应用于 CASP 的自动预测评估方法中，例如全局距离测试总分 (GDT_TS) 和接触分数 (CS)，与手动检查分数的一致性最好。作为指导我们评估 CASP9 FM 类别预测的重要组成部分之一，该方法与其他评分方法具有良好的相关性，并且能够揭示 GDT_TS 错过的高质量模型。
Results: Inspired by our experience in CASP9 FM category assessment, we developed an automatic superimposition independent method named Quality Control Score (QCS) for structure prediction assessment. QCS captures both global and local structural features, with emphasis on global topology. We applied this method to all FM targets from CASP9, and overall the results showed the best agreement with Manual Inspection Scores among automatic prediction assessment methods previously applied in CASPs, such as Global Distance Test Total Score (GDT_TS) and Contact Score (CS). As one of the important components to guide our assessment of CASP9 FM category predictions, this method correlates well with other scoring methods and yet is able to reveal good-quality models that are missed by GDT_TS.