首页> 外文会议>International Workshop on Fuzzy Logic and Applications(WILF 2007); 20070707-10; Camogli(IT) >Solving Protein Structures Using Molecular Replacement Via Protein Fragments
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Solving Protein Structures Using Molecular Replacement Via Protein Fragments

机译:使用通过蛋白质片段进行分子置换来解决蛋白质结构

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The need to determine phases is a major bottleneck in a fully automated X-ray crystallography pipeline. The problem commonly called phasing can be solved by a computational method called molecular replacement (MR). With the deposition of more and more proteins into the Protein Data Bank (PDB), it has been shown that the MR yields better initial models. In this paper, ab initio first model generation is addressed. A novel scheme using PHASER is proposed which does not require any a priori information about the structure. The input to the system is the target structure factors and the sequence. We created a unique set of supersecondary structure (fragment) dataset and used them in creation of the first model. The method was evaluated with log-likelihood gain (LLG) and translational Z-score (TFZ) as defined by PHASER. The results obtained are highly encouraging with translation Z-scores of 7 and above for the first model. The proposed scheme is tested on six proteins, two each from α, β and α + β classes with very good results.
机译:确定相位的需求是全自动X射线晶体学流水线的主要瓶颈。通常称为定相的问题可以通过一种称为分子置换(MR)的计算方法来解决。随着越来越多的蛋白质沉积到蛋白质数据库(PDB)中,研究表明MR产生了更好的初始模型。在本文中,解决了从头开始的第一代模型的产生。提出了一种使用PHASER的新颖方案,该方案不需要有关该结构的任何先验信息。系统的输入是目标结构因子和序列。我们创建了一组独特的超二级结构(片段)数据集,并在创建第一个模型时使用了它们。用PHASER定义的对数似然增益(LLG)和翻译Z分数(TFZ)评估该方法。对于第一个模型,翻译Z分数为7或更高时,获得的结果令人鼓舞。该方案对6种蛋白质进行了测试,每种蛋白质分别来自α,β和α+β类,具有很好的结果。

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