Automated server predictions in CASP7
Automated server predictions in CASP7
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DOI：
10.1002/prot.21761
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发表时间：
2007-01-01
影响因子：
2.9
通讯作者：
Schwede, Torsten
中科院分区：
文献类型：
--
作者：
Battey, James N. D.;Kopp, Jurgen;Schwede, Torsten
每轮CASP（对蛋白质结构预测技术的批判性评估），自动预测服务器起着越来越重要的作用。如今，大多数蛋白质结构预测的方法在某种程度上取决于自动识别或模型构建的自动化方法。在过去几年中，服务器预测的准确性显着提高，在CASP7中，我们观察到了这种趋势的延续。在基于模板的建模类别中，最佳预测服务器总体排名第三，即，除了两个人参加的组外，它都优于所有人。该服务器在免费建模类别中也排名最佳的预测指标之一，显然仅被一个人类群体击败。在TBM的高精度（HA）子集中，前五组中的两个是服务器。本文总结了CASP7实验中自动结构预测服务器的贡献，重点是3D结构预测以及有关其预测范围和公众可用性的信息。
With each round of CASP (Critical Assessment of Techniques for Protein Structure Prediction), automated prediction servers have played an increasingly important role. Today, most protein structure prediction approaches in some way depend on automated methods for fold recognition or model building. The accuracy of server predictions has significantly increased over the last years, and, in CASP7, we observed a continuation of this trend. In the template-based modeling category, the best prediction server was ranked third overall, i.e. it outperformed all but two of the human participating groups. This server also ranked among the very best predictors in the free modeling category as well, being clearly beaten by only one human group. In the high accuracy (HA) subset of TBM, two of the top five groups were servers. This article summarizes the contribution of automated structure prediction servers in the CASP7 experiment, with emphasis on 3D structure prediction, as well as information on their prediction scope and public availability.