QMEAN server for protein model quality estimation.
QMEAN server for protein model quality estimation.
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DOI：
10.1093/nar/gkp322
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发表时间：
2009-07
影响因子：
14.9
通讯作者：
Schwede T
中科院分区：
文献类型：
--
作者：
Benkert P;Künzli M;Schwede T
模型质量估计是蛋白质结构预测的重要组成部分，因为最终模型的准确性决定了其对特定应用的有用性。通常，在蛋白质结构预测的过程中会产生一组可供选择的模型，随后必须从中选择最准确的模型。QMEAN服务器提供了访问两个评分功能，在第八轮社区范围的盲测实验CASP中成功测试。用户可以在复合评分函数QMEAN和基于聚类的评分函数QMEAN之间进行选择，复合评分函数QMEAN基于单个模型的几何分析导出质量估计，基于聚类的评分函数QMEAN基于来自用户提供的集合的模型的加权的全部对全部比较来计算全局和局部质量估计。Web服务器对输入模型进行排名，并突出显示每个模型的潜在问题区域。QMEAN服务器可在http://swissmodel.expasy.org/qmean上获得。
Model quality estimation is an essential component of protein structure prediction, since ultimately the accuracy of a model determines its usefulness for specific applications. Usually, in the course of protein structure prediction a set of alternative models is produced, from which subsequently the most accurate model has to be selected. The QMEAN server provides access to two scoring functions successfully tested at the eighth round of the community-wide blind test experiment CASP. The user can choose between the composite scoring function QMEAN, which derives a quality estimate on the basis of the geometrical analysis of single models, and the clustering-based scoring function QMEANclust which calculates a global and local quality estimate based on a weighted all-against-all comparison of the models from the ensemble provided by the user. The web server performs a ranking of the input models and highlights potentially problematic regions for each model. The QMEAN server is available at http://swissmodel.expasy.org/qmean.
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