Flöckner H, Braxenthaler M, Lackner P, Jaritz M, Ortner M, Sippl M J
Center for Applied Molecular Engineering, University of Salzburg, Austria.
Proteins. 1995 Nov;23(3):376-86. doi: 10.1002/prot.340230311.
The prediction experiment reveals that fold recognition has become a powerful tool in structural biology. We applied our fold recognition technique to 13 target sequences. In two cases, replication terminating protein and prosequence of subtilisin, the predicted structures are very similar to the experimentally determined folds. For the first time, in a public blind test, the unknown structures of proteins have been predicted ahead of experiment to an accuracy approaching molecular detail. In two other cases the approximate folds have been predicted correctly. According to the assessors there were 12 recognizable folds among the target proteins. In our postprediction analysis we find that in 7 cases our fold recognition technique is successful. In several of the remaining cases the predicted folds have interesting features in common with the experimental results. We present our procedure, discuss the results, and comment on several fundamental and technical problems encountered in fold recognition.
预测实验表明，折叠识别已成为结构生物学中的一种强大工具。我们将折叠识别技术应用于13个目标序列。在两种情况下，即复制终止蛋白和枯草杆菌蛋白酶的前序列，预测结构与实验确定的折叠非常相似。在一次公开的盲测中，蛋白质的未知结构首次在实验之前就被预测出来，其准确性接近分子细节。在另外两种情况下，近似折叠也被正确预测。据评估人员称，目标蛋白中有12种可识别的折叠。在我们的预测后分析中，我们发现有7种情况我们的折叠识别技术是成功的。在其余的一些情况下，预测的折叠与实验结果有一些有趣的共同特征。我们展示了我们的方法，讨论了结果，并对折叠识别中遇到的几个基本和技术问题进行了评论。
