Department of Biomolecular Engineering, University of California, Santa Cruz, California 95064, USA.
Proteins. 2009;77 Suppl 9(Suppl 9):191-5. doi: 10.1002/prot.22508.
Our group tested three quality assessment functions in CASP8: a function which used only distance constraints derived from alignments (SAM-T08-MQAO), a function which added other single-model terms to the distance constraints (SAM-T08-MQAU), and a function which used both single-model and consensus terms (SAM-T08-MQAC). We analyzed the functions both for ranking models for a single target and for producing an accurate estimate of GDT_TS. Our functions were optimized for the ranking problem, so are perhaps more appropriate for metaserver applications than for providing trustworthiness estimates for single models. On the CASP8 test, the functions with more terms performed better. The MQAC consensus method was substantially better than either single-model function, and the MQAU function was substantially better than the MQAO function that used only constraints from alignments.
我们的团队在 CASP8 中测试了三种质量评估功能：一种仅使用来自比对的距离约束的功能（SAM-T08-MQAO），一种向距离约束添加其他单模型项的功能（SAM-T08-MQAU），以及一种使用单模型和共识项的功能（SAM-T08-MQAC）。我们分析了这些功能，用于对单个目标的模型进行排名，以及生成 GDT_TS 的准确估计。我们的功能针对排名问题进行了优化，因此可能更适合元服务器应用程序，而不是为单个模型提供可信度估计。在 CASP8 测试中，具有更多项的功能表现更好。MQAC 共识方法明显优于任何单模型功能，而 MQAU 功能明显优于仅使用比对约束的 MQAO 功能。
