首页> 外文期刊>Proteins: Structure, Function, and Genetics >Prediction of protein tertiary structure using PROFESY, a novel method based on fragment assembly and conformational space annealing.
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Prediction of protein tertiary structure using PROFESY, a novel method based on fragment assembly and conformational space annealing.

机译:使用PROFESY预测蛋白质的三级结构,这是一种基于片段组装和构象空间退火的新方法。

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摘要

A novel method for ab initio prediction of protein tertiary structures, PROFESY (PROFile Enumerating SYstem), is proposed. This method utilizes the secondary structure prediction information of a query sequence and the fragment assembly procedure based on global optimization. Fifteen-residue-long fragment libraries are constructed using the secondary structure prediction method PREDICT, and fragments in these libraries are assembled to generate full-length chains of a query protein. Tertiary structures of 50 to 100 conformations are obtained by minimizing an energy function for proteins, using the conformational space annealing method that enables one to sample diverse low-lying local minima of the energy. We apply PROFESY for benchmark tests to proteins with known structures to demonstrate its feasibility. In addition, we participated in CASP5 and applied PROFESY to four new-fold targets for blind prediction. The results are quite promising, despite the fact that PROFESY was in its early stages of development. In particular, PROFESY successfully provided us the best model-one structure for the target T0161.
机译:提出了一种新的从头开始预测蛋白质三级结构的方法,即PROFESY(PROFile枚举系统)。该方法利用查询序列的二级结构预测信息和基于全局优化的片段组装过程。使用二级结构预测方法PREDICT构建15个残基长的片段文库,并组装这些文库中的片段以生成查询蛋白的全长链。通过使用构象空间退火方法,可以使蛋白质的能量函数最小化,从而获得50至100个构象的三级结构,该方法使人们能够采样各种低洼的局部能量最小值。我们将PROFESY应用于结构已知的蛋白质的基准测试,以证明其可行性。此外,我们参加了CASP5,并将PROFESY应用于四个新的盲目预测目标。尽管PROFESY处于开发的早期阶段,但结果还是很有希望的。特别是,PROFESY为目标T0161成功地为我们提供了最佳的模型一结构。

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