Ginalski Krzysztof, Elofsson Arne, Fischer Daniel, Rychlewski Leszek
BioInfoBank Institute, Limanowskiego 24A, 60-744 Poznan, Poland.
Bioinformatics. 2003 May 22;19(8):1015-8. doi: 10.1093/bioinformatics/btg124.
Consensus structure prediction methods (meta-predictors) have higher accuracy than individual structure prediction algorithms (their components). The goal for the development of the 3D-Jury system is to create a simple but powerful procedure for generating meta-predictions using variable sets of models obtained from diverse sources. The resulting protocol should help to improve the quality of structural annotations of novel proteins.
The 3D-Jury system generates meta-predictions from sets of models created using variable methods. It is not necessary to know prior characteristics of the methods. The system is able to utilize immediately new components (additional prediction providers). The accuracy of the system is comparable with other well-tuned prediction servers. The algorithm resembles methods of selecting models generated using ab initio folding simulations. It is simple and offers a portable solution to improve the accuracy of other protein structure prediction protocols.
The 3D-Jury system is available via the Structure Prediction Meta Server (http://BioInfo.PL/Meta/) to the academic community.
3D-Jury is coupled to the continuous online server evaluation program, LiveBench (http://BioInfo.PL/LiveBench/)
共识结构预测方法（元预测器）比单个结构预测算法（其组件）具有更高的准确性。3D-Jury系统开发的目标是创建一个简单但强大的程序，用于使用从不同来源获得的可变模型集生成元预测。由此产生的协议应有助于提高新蛋白质结构注释的质量。
3D-Jury系统从使用可变方法创建的模型集中生成元预测。无需事先了解这些方法的特征。该系统能够立即利用新的组件（额外的预测提供者）。该系统的准确性与其他经过良好调整的预测服务器相当。该算法类似于选择使用从头折叠模拟生成的模型的方法。它很简单，并提供了一种可移植的解决方案来提高其他蛋白质结构预测协议的准确性。
3D-Jury系统可通过结构预测元服务器（http://BioInfo.PL/Meta/）供学术界使用。
3D-Jury与连续在线服务器评估程序LiveBench（http://BioInfo.PL/LiveBench/）耦合
