Assembling novel protein folds from super-secondary structural fragments
Assembling novel protein folds from super-secondary structural fragments
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DOI：
10.1002/prot.10542
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发表时间：
2003-01-01
影响因子：
2.9
通讯作者：
McGuffin, LJ
中科院分区：
文献类型：
--
作者：
Jones, DT;McGuffin, LJ
描述了应用基于片段的蛋白质三级结构预测方法预测 14 个 CASP5 目标结构域的结果。该方法基于使用模拟退火算法对从高分辨率蛋白质结构中获取的超二级结构片段进行组装。对具有新颖折叠的蛋白质产生了许多良好的预测，尽管并不总是作为第一个模型。对于双倍识别目标，FRAGFOLD 在两种情况下都生成了最准确的模型，尽管预测并非基于模板结构。尽管自 CASP4 以来在改进 FRAGFOLD 方面取得了明显的进展，但最终模型的排序似乎仍然是下一次 CASP 实验之前需要解决的主要问题。 (C) 2003 Wiley-Liss, Inc.
The results of applying a fragment-based protein tertiary structure prediction method to the prediction of 14 CASP5 target domains are described. The method is based on the assembly of supersecondary structural fragments taken from highly resolved protein structures using a simulated annealing algorithm. A number of good predictions for proteins with novel folds were produced, although not always as the first model. For two fold recognition targets, FRAGFOLD produced the most accurate model in both cases, despite the fact that the predictions were not based on a template structure. Although clear progress has been made in improving FRAGFOLD since CASP4, the ranking of final models still seems to be the main problem that needs to be addressed before the next CASP experiment. (C) 2003 Wiley-Liss, Inc.